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The Methodology of MFA - Case Studies Paul H. Brunner Vienna University of Technology Institute for Water Quality, Resources and Waste Management htt // i t i t CTCI at NTU October 5, 2009 http://www.iwa.tuwien.ac.at

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1

The Methodology of MFA-

Case Studies

Paul H Brunner

Vienna University of Technology

Institute for Water Quality Resources and Waste Management

htt i t i t

PH Brunner 124CTCI at NTU October 5 2009CTCI at NTU October 5 2009

httpwwwiwatuwienacat

2

Content

1 M ti ti1 Motivation

2 Definitions and STAN

3 Scale

4 Applications

5 Integration of MFA in governance

PH Brunner 224CTCI at NTU October 5 2009

3

Vision and Motivation

1 Sustainable development

- long term environmental protection- bdquobestldquo resource use- bdquoutility and happiness foreverldquo

2 How to measure and to achieve SD

3 MFA as a key method in the tool box for SD

4 The two aspects goods and substances- goods as economic units (quantity)- substances determining ecological and resource qualities

PH Brunner 324CTCI at NTU October 5 2009

g g q

4

MFA definitions

bull Goods and substances

bull Processes and stocks

bull Flows and fluxes

T f ffi i tbull Transfer coefficients

bull System and system boundaries

PH Brunner 424CTCI at NTU October 5 2009

5

Most simple case of MFA 1-process system

systems boundary

A

B

C

systems boundary

ProcessA C

D

s + s

PH Brunner 524CTCI at NTU October 5 2009

6

atmosphere

flow = 230 ta export = 170 ta

meat milk eggsphosphorous [ta]

stock 10000 + 70 ta

10-process system bdquoregional phosphorous flows and stocksldquo

agr soil

plantcultivation

fertilicer

animal feedstockanimals

meat milk eggs

cerealsvegetables fruits

10 000+68

30

24

85

3

13

45 100109

17

78

phosphorous [ta]

wwtplandfill

surface waterriver

food

surface water

74

13

19

17

38

28

PH Brunner 624CTCI at NTU October 5 2009

industryprivate hh

industrial products

sewer

cleaners foodgt4017 17 21

gt61

38

7

Procedure to establish MFA

Problem definition

Selection ofsubstances

Determination of system boundaries

Selection ofprocesses

Selection of goods

Adjustment

System definition

m Determination ofDetermination offl d t k w

s erm

ine g

oo

ds

em

Ad

just

sys

tem Determination of

mass flows

Balancing of goods

Determination ofconcentrations

flows and stocks

Refi

ne

ntr

ati

on

s

2

Refi

ne

mass

flo

ws

1

Refi

ne

mass

flo

w

2

Red

ete

Red

efi

ne

pro

ble

PH Brunner 724CTCI at NTU October 5 2009

Interpretation and illustration

Balancingof substances 1

R

con

ce

8

STAN freeware to support MFA including uncertainty

STAN

httpwwwiwatuwienacatiwa226_englishstanhtml

composting plantmfa

PH Brunner 824CTCI at NTU October 5 2009

9

STAN allows modelling more complexe systems such as wm

PH Brunner 924CTCI at NTU October 5 2009

10

Scale from human to hellip

700

0

respirationtranspiration mass [kgca]

phosphorus [gca]

50100

450

270

humanbody

1700

390

food

0

feces

urine

270

400

20

sewage

PH Brunner 1024CTCI at NTU October 5 2009

11

Scale from human to household to hellip

7000

respirationtranspiration mass [kgca]

phosphorus [gca]

50100

450

270

humanbody

1700

430 kitchen

food

0

feces

urine

270

total foodwastes toseweringsystem

10040

40020

900

390

garbage sewage

to STP

PH Brunner 1124CTCI at NTU October 5 2009

40

to MSWtreatment

to STPsystems boundaries phh 1year

12

Scale from human to household to regional tohellip

atmosphere

flow = 230 ta export = 170 ta

meat milk eggsphosphorous [ta]

stock 10000 + 70 ta

agr soil

plantcultivation

fertilicer

animal feedstockanimals

meat milk eggs

cerealsvegetables fruits

10 000+68

30

24

85

3

13

45 100109

17

78

phosphorous [ta]

wwtplandfill

surface waterriver

food

surface water

74

13

19

17

38

28

PH Brunner 1224CTCI at NTU October 5 2009

industryprivate hh

industrial products

sewer

cleaners foodgt4017 17 21

gt61

38

13

Scale from human to household to regional to national tohellip

[kgca]

5 1 04agriculturefood

processingprivate

household

systems boundaries region1year

4 06 04

agricultural lossesand wastes

food processingwastes

sewage and MSW

PH Brunner 1324CTCI at NTU October 5 2009

14

Contribution of various sectors to the nu-trients in the river Danube watershed

Scale from human to household to regional to national to watershedhellip

Nitrogen825 kta

Ismail

Tirgu Mures

Kosice

Klagenfurt

Insbruck

Gyor

Szombathely

Cluj-Napoca

BrasovGalat

Iasi

Tchernovte

Miskolc

Debrecen

Oradea

Arad

Szeged

Pecs

Zagreb

Ljubljana

Bratislava

Brno

Linz

Regensburg

Augsburg

Munchen

Szekesfehervar

Graz

Salzburg

Budapest

Wien

Praha

Trnava

Nitra

Trencin

Prievidza Banska Bystrica

Zilina

Martin

Prasov

Levice

PiestanyTopolcany

Povazska BystricaLiptovsky Mikulas

Zvolen

Spisska Nova Ves

Bardejov

Humenne

Michalovce

Komarno

u61

u62

u59

u48

u58

u57

u56

u55

u47

u46

u45 u71

u54

u53

u52

u44 u50

u49 u65

u70

u69

u66

u67

u64BeregovoVinogradov

Vilok

Khust

Irshava

MezhgorieSvalyava

VishkovoTyachev

Chop

Solotvina VBychkov

Rakhov

Dybovoe

Kolomia

Yaremcha

Kosov

Snyatin

Storozhinets

Mukachevo

Uzhgorod

CM4

CM7

CM43

CM30

CM36CM38

CM34CM18

CM29

CM31CM22

CM35

CM9

CM26

CM23

CM2

CM5

CM0

CM17

CM28

CM33

CM32

CM8 CM25

CM14CM11

CM23CM46

CM21CM45

CM40

CM44CM13CM42CM27CM39

CM6CM41

CM19

CM15CM20

CM10

CM3

CS3545

CS3639CS1132

CS1133

CS1134CS1171

CS3670

CS1169

CS1135

CS1174

CS1139

CS1140CS1195

CS1188

CS1187

CS1186

CS1194CM1191

CS3742 CS1181

CS1179

CS1184

CS1176

Kranj

Maribor

Celje

Jesenice

Skofja LokaDomzale Trbovlje

Velenje

Novo Mesto

Ptuj

Murska Sobota

S1

S2

S3

S4S5S6

S7

S8

S9 S10

S11 S12

S13

m1

m2

m3m4

m5

m6

m7

m8

m9

m10

m11

m12

m13

m14

m15

Bziceni

Ocnita

Edinet

Geodeni

Falesti

Ungheni

Nisporeni

Carpineni

Leova

Comrat

Congaz

Ciadiz-Lunga

Taraclia

Vulcanesti

Cahul

BenderTiraspol

Belti

Kishinev

A326A323

A322

A324

A321

A522

A521

A721

A723

A724

A621

A821A923

A924

A1024

A921A922A1023

A1025

A1026

A1021

A1121

A1022A1031A1029

A1028A1027

A1030

A1032A1221

A1321

A1428

A1414A1427

A1424A1422

A1421

A1426A1425

A1528A1524A1526

A1527A1525

A1523

A1522

A1521

A422

A423

A722

A421

A1222

A73100007

A73200417A73200617

A73300407

A75000987

A40502037

A40502017

A4041017

A54110127A5411057

A54110017

A51210147A73390966

A40607017

A40607027

A40709117

A40709077

A40709067

A40709047

A40709037

A40709027

A40710027A40710017

A40907037

A40814047 A30900057

A30900047

A30900027

A30900017

A92001017

A31000017A31000027

A31100047

A31100057

A31100037

A31200037

A10000077

A10000027

A10000107A10000097

A10000087

A61400147A61400137

A61400127

A61400117

A61400107

A61400087A61400157

A21560297A21500087A21551267

A21551257

A21500057A21530157

A21500047

A21500027

A21510107A71560907

BUDAPEST1

BUDAPEST2

BUDAPEST3

DEBRECEN

MISKOLC

SZEGED

PECS

GYOR

NYIREGYHAZA1NYIREGYHAZA2

SZEKESFEHERVAR

KECSKEM ET

SZOMBATHELYSZOLNOK

TATABANYA

KAPOSVAR

BEKESCSABA

VESZPREM

ZALAEGERSZEG

EGER

DUNAUJVAROS

SOPRON

NAGYKANIZSA HODMEZOVASARHELY

ERD

SALGOTARJAN

OZD

BAJA

CEGLED

SZEKSZARD

KAZINCBARCIKA

GYONGYOS

PAPA

VAC

GYULA

AJKA

KISKUNFELEGYHAZASZENTES

HAJDUBOSZORM ENY

MOSONMAGYAROVAR1MOSONMAGYAROVAR2

GODOLLO

JASZBERENY

ESZTERGOM

KOMLO

OROSHAZA

DUNAKESZI

NAGYKOROS

VARPALOTA

MAKO

TATA HATVAN

TOROKSZENTMIKLOS

HAJDUSZOBOSZLO

KARCAG

BEKES

BUDAORSOROSZLANY

SZENTENDRE

SZIGETSZENTMIKLOS

DOMBOVAR

MOHACS

KOMAROM

PAKS

MEZOTUR

CSONGRAD

HAJDUNANAS

MONOR

TAPOLCA

GYAL

SZARVAS

MATESZALKA

BALMAZUJVAROS

BALASSAGYARMAT

SATORALJAUJHELY

TISZAUJVAROS

KALOCSA

VECSES

KISVARDA

MEZOKOVESD

SZAZHALOMBATTA BERETTYOUJFALU

GYOMAENDROD

SARVAR

ABONY

BATONYTERENYE

DUNAHARASZTI

DABAS

SAROSPATAK

BONYHAD

MOR

FOT TISZAFURED

TISZAVASVARI

GOD

SAJOSZENTPETER

SARBOGARD

NYIRBATOR

PUSPOKLADANY

DOROG

KISUJSZALLAS

POMAZ

KORMEND

HAJDUHADHAZ

MARCALI

NAGYATAD

BARCS

GYOMRO

TOLNA

NAGYKATA

CELLDOMOLK

PILISVOROSVAR

KOSZEG

TISZAKECSKE

BUDAKESZI

HEVES

TISZAFOLDVAR

MEZOBERENY

BICSKE

SZIGETVAR

PECEL

SARKAD

LAJOSMIZSE

KAPUVARCSORNA

ALBERTIRSA

SIKLOS

PASZTO

TURKEVE

SZERENCS

KUNSZENTMARTON

EDELENY

UJFEHERTO

SZIGETHALOM

SZEGHALOM

BUDAPEST CANNING-BREWERYBUDAPESTPAPER

TISZAUJVAROS CHEMICAL

KAZINCBARCIKA CHEMICAL

DUNAUJVAROS PAPERDUNAUJVAROS METALLURGICAL

ALMASFUZITO CHEMICALLABATLAN PAPER

MARCALI LEATHER

BALATONFUZFO CHEMICAL

PET CHEMICAL

PECS LEATHER

01FF01

01FF0201FF07 01FF04

02FF51

02FF02

02FF32

03FF06

03FF05

03FF07

03FF01

01FF13

01FF11

01FF22

01FF12

02FF17

02FF03

06FF27

04FF11

04FF14

02FF12

01FF62

01FF40

01FF38

06FF23

07FF01

07FF04

07FF05

08FF02

08FF04

10FF02

10FF04

10FF12

10FF14

11FF11

11FF12

07FF10

07FF11

07FF29

08FF07

09FF0308FF15

10FF22

11FF63

11FF32

CID

CIC

CIBCIE

CIA

BUDAORS CHEMICAL

CM12CM47

PECS LEATHER

A711A713A712

A311

A411

A1111

A1112

A1012

A1413A1411

A1414

A1412

A1416

A1311

A1313

A1312

A913

A912

A612

A611 A911

BUDAORS CHEMICAL

PET CHEMICAL

BALATONFUZFO CHEMICAL

MARCALI LEATHER

DUNAUJVAROS PAPER

CIECIB

CIA

CID

CIC

TISZAUJVAROS CHEMICAL

KAZINCBARCIKA CHEMICAL

agriculture

WWTP

others

others s a

Novi Sad

Osijek

Nis

Rijeka

Split

Constanca

Varna

Craiova

Ploesti

Braila

Sarajevo

Sofia

Bucuresti

Beograd

BM3

BM9

BM1

BM4

BM8

BM25

BM5BM2

BM38

BM16

BM35

BM36

BM37

BM22BM23

BM15

BM19

BM10

BM14

BM18

BM21

BM12

BM24

BM11BM17

BM28

BM26 BM29

BM32

BM31

BM27

BM33

BM13

BM34

BI1

BI2

BI3

BI4

BI5

BI9

BS334 BS147

BS336

BS17

BS335

BS337

BS175BS18

BS342

BS346

BS345

BS344

BS178

BS339

BS27

BS348

BS32

BS197

BS37

BS30

BS191BS29

BS190BS28

BS189

BS25

BS355

BS40

BS39

BS201

BS33

BS352

BS198BS194

BS199

BS198

BS45

BS206

BS44

BS43

BS42

BS205BS206

BS51

BS360BS358

BS53

BSBS4

BS220BS270

BS49BS216

BS210

BS209

BS208

BS234

BS232BS364

BS363

BS56

BS230231BS229

BS55BS228

BS361

BS182

BS347

05FF18

BI4

BI1

BI3

BI2

BI5

BI9

Phosphorus105 kta

agricultureWWTP

others

PH Brunner 1424CTCI at NTU October 5 2009

A direct and indirect inputs of animal waste productsB erosion and leachingC direct flows from private households and industryD diffuse inputs from forestry (erosion percolation)

15

MFA for environmental protection and resources management

1st generation MFA Environmental protection

bull DDT

bull CFCs

bull PCBs NP etc

bull C -gt CO2 and CH42 4

PH Brunner 1524CTCI at NTU October 5 2009

16

MFA for greenhouse gas emission assessment

CO2 from hellip sources

fossil biogenic

f ilbiogenic

Energy from hellip sources

PH Brunner 1624CTCI at NTU October 5 2009

fossil

17

Concept of Balance Method

Material data of waste inputBiogenic matter C H O N S Cl

Fossil matter C H O N S Cl

800

Fossil matter C H O N S Cl

Balance equations

mI

c m + c m

mB + mF + mI + mw

= awaste

= 1

mI

c m + c m

mB + mF + mI + mw

= awaste

= 1

0

200

400

600

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

kg CO2 foss t waste

Revision of plant

cB mB + cF mF

HVB mB + HVF mF -245mW

dO2-CO2 mB + dO2-CO2 mF

= cwaste

= HVwaste

= dO2-CO2waste

O2CB mB + O2

CF mF = O2

Cwaste

cB mB + cF mF

HVB mB + HVF mF -245mW

dO2-CO2 mB + dO2-CO2 mF

= cwaste

= HVwaste

= dO2-CO2waste

O2CB mB + O2

CF mF = O2

Cwaste

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

30

40

50

60

70

80

90

100

o o

f energ

y fr

om

enic

sourc

es [

]

Line 1

Line 2

30

40

50

60

70

80

90

100

o o

f energ

y fr

om

enic

sourc

es [

]

Line 1

Line 2

PH Brunner 1724CTCI at NTU October 5 2009

Operating data from WTE plantWaste input flue gas volume

CO2 O2 steam production0

10

20

30

010707 010807 010907 011007

Rati

obio

ge

0

10

20

30

010707 010807 010907 011007

Rati

obio

ge

18

Balance Equation

mB + mF + mI + mw = 1Mass balance

mI

cB mB + cF mF

HV HV 2 45

= awaste

= cwaste

ldquoAshrdquo-balance

Carbon-balance

HVB mB + HVF mF -245mW

dO2-CO2 mB + dO2-CO2 mF

= HVwaste

= dO CO t

Energy-balance

Difference of d

O2-consumption O2CB mB + O2

CF mF = O2

Cwaste

PH Brunner 1824CTCI at NTU October 5 2009

dO2-CO2 B dO2-CO2 F = dO2-CO2wasteO2-cons +CO2-prod

Derived from operating dataCoefficients (given by the chemical composition of

biogenic and fossil matter)

19

Results (annual values)

CO2 - Emissions Fraction of fossil CO2 emissions []CO2 Emissions

819 plusmn39727 plusmn31

60 000

80000

100000

ssio

ns

sye

ar]

40

50

60

702 []

Radiocarbon methodBalance method

0

20000

40000

60000

CO

2-E

mi

[kilo

ton

s

bi i f il

529 471

0

10

20

30

PH Brunner 1924CTCI at NTU October 5 2009Johann Fellner

biogenic fossil

20

MFA for environmental protection and resources management

1st generation MFA Environmental protection

bull DDT

bull CFCs

bull PCBs NP etc

bull C -gt CO2 and CH42 4

2nd generation Resource management

bull Regional nutrient flows -gt integrated P management

bull Regional and global metal flows and stocks (Graedel)

PH Brunner 2024CTCI at NTU October 5 2009

bull Regional and global metal flows and stocks (Graedel)

-gt future metal management

21

Copper management based on MFA

11000 11500 3800

54011000

300000+7700

productscathodiccopper

Cu scrap III

680

Cu scrap II

waste

lOre

useWaste

management

54

1400Cu scrap I

11000 11500copper

production

2Copper

manufacturing

3

580000-11000

85000+3100

1700

Waste to landfill

1200waste

150slagOre

1 6Lithosphere landfill

flows 1000 tastocks 1000 t

PH Brunner 2124CTCI at NTU October 5 2009

source Graedel et al 2002 and Rechberger

World 1994rdquo

22

Application of MFA for governance in waste management

Goal improve waste management practice

step 1 professional MFA standard OumlWAV guideline (consensus)

step 2 Austrian Standard ONORM S 2096 ldquoMFA- Application in

waste managementrdquo

step 3 easy to use software STAN (freeware) for MFA in wm

step 4 mandatory MFA requirement for certified MSW companies

step 5 routine waste analysis by MFA on selected MSW incinerators

step 6 Link all relevant information for a new knowledge base (eg

PH Brunner 2224CTCI at NTU October 5 2009

for national waste management plan)

23

Conclusions

Objective - sustainable resource use

long term en ironmental protection- long-term environmental protection

MFA is instrumental for this objective because

bull it is a rigid transparent and objectiv method to model andvisualize material flows including uncertainty

bull It facilitates understanding and public acceptance of decisions

bull It is a key decision support tool for resource management environmental management and waste management

bull It is indispensable to establish knowledge bases for em rm andwm

PH Brunner 2324CTCI at NTU October 5 2009

wm

bull It needs to be standardized in order to fully exploit its potential

24

ThankThank youyou

PH Brunner 2424CTCI at NTU October 5 2009

2

Content

1 M ti ti1 Motivation

2 Definitions and STAN

3 Scale

4 Applications

5 Integration of MFA in governance

PH Brunner 224CTCI at NTU October 5 2009

3

Vision and Motivation

1 Sustainable development

- long term environmental protection- bdquobestldquo resource use- bdquoutility and happiness foreverldquo

2 How to measure and to achieve SD

3 MFA as a key method in the tool box for SD

4 The two aspects goods and substances- goods as economic units (quantity)- substances determining ecological and resource qualities

PH Brunner 324CTCI at NTU October 5 2009

g g q

4

MFA definitions

bull Goods and substances

bull Processes and stocks

bull Flows and fluxes

T f ffi i tbull Transfer coefficients

bull System and system boundaries

PH Brunner 424CTCI at NTU October 5 2009

5

Most simple case of MFA 1-process system

systems boundary

A

B

C

systems boundary

ProcessA C

D

s + s

PH Brunner 524CTCI at NTU October 5 2009

6

atmosphere

flow = 230 ta export = 170 ta

meat milk eggsphosphorous [ta]

stock 10000 + 70 ta

10-process system bdquoregional phosphorous flows and stocksldquo

agr soil

plantcultivation

fertilicer

animal feedstockanimals

meat milk eggs

cerealsvegetables fruits

10 000+68

30

24

85

3

13

45 100109

17

78

phosphorous [ta]

wwtplandfill

surface waterriver

food

surface water

74

13

19

17

38

28

PH Brunner 624CTCI at NTU October 5 2009

industryprivate hh

industrial products

sewer

cleaners foodgt4017 17 21

gt61

38

7

Procedure to establish MFA

Problem definition

Selection ofsubstances

Determination of system boundaries

Selection ofprocesses

Selection of goods

Adjustment

System definition

m Determination ofDetermination offl d t k w

s erm

ine g

oo

ds

em

Ad

just

sys

tem Determination of

mass flows

Balancing of goods

Determination ofconcentrations

flows and stocks

Refi

ne

ntr

ati

on

s

2

Refi

ne

mass

flo

ws

1

Refi

ne

mass

flo

w

2

Red

ete

Red

efi

ne

pro

ble

PH Brunner 724CTCI at NTU October 5 2009

Interpretation and illustration

Balancingof substances 1

R

con

ce

8

STAN freeware to support MFA including uncertainty

STAN

httpwwwiwatuwienacatiwa226_englishstanhtml

composting plantmfa

PH Brunner 824CTCI at NTU October 5 2009

9

STAN allows modelling more complexe systems such as wm

PH Brunner 924CTCI at NTU October 5 2009

10

Scale from human to hellip

700

0

respirationtranspiration mass [kgca]

phosphorus [gca]

50100

450

270

humanbody

1700

390

food

0

feces

urine

270

400

20

sewage

PH Brunner 1024CTCI at NTU October 5 2009

11

Scale from human to household to hellip

7000

respirationtranspiration mass [kgca]

phosphorus [gca]

50100

450

270

humanbody

1700

430 kitchen

food

0

feces

urine

270

total foodwastes toseweringsystem

10040

40020

900

390

garbage sewage

to STP

PH Brunner 1124CTCI at NTU October 5 2009

40

to MSWtreatment

to STPsystems boundaries phh 1year

12

Scale from human to household to regional tohellip

atmosphere

flow = 230 ta export = 170 ta

meat milk eggsphosphorous [ta]

stock 10000 + 70 ta

agr soil

plantcultivation

fertilicer

animal feedstockanimals

meat milk eggs

cerealsvegetables fruits

10 000+68

30

24

85

3

13

45 100109

17

78

phosphorous [ta]

wwtplandfill

surface waterriver

food

surface water

74

13

19

17

38

28

PH Brunner 1224CTCI at NTU October 5 2009

industryprivate hh

industrial products

sewer

cleaners foodgt4017 17 21

gt61

38

13

Scale from human to household to regional to national tohellip

[kgca]

5 1 04agriculturefood

processingprivate

household

systems boundaries region1year

4 06 04

agricultural lossesand wastes

food processingwastes

sewage and MSW

PH Brunner 1324CTCI at NTU October 5 2009

14

Contribution of various sectors to the nu-trients in the river Danube watershed

Scale from human to household to regional to national to watershedhellip

Nitrogen825 kta

Ismail

Tirgu Mures

Kosice

Klagenfurt

Insbruck

Gyor

Szombathely

Cluj-Napoca

BrasovGalat

Iasi

Tchernovte

Miskolc

Debrecen

Oradea

Arad

Szeged

Pecs

Zagreb

Ljubljana

Bratislava

Brno

Linz

Regensburg

Augsburg

Munchen

Szekesfehervar

Graz

Salzburg

Budapest

Wien

Praha

Trnava

Nitra

Trencin

Prievidza Banska Bystrica

Zilina

Martin

Prasov

Levice

PiestanyTopolcany

Povazska BystricaLiptovsky Mikulas

Zvolen

Spisska Nova Ves

Bardejov

Humenne

Michalovce

Komarno

u61

u62

u59

u48

u58

u57

u56

u55

u47

u46

u45 u71

u54

u53

u52

u44 u50

u49 u65

u70

u69

u66

u67

u64BeregovoVinogradov

Vilok

Khust

Irshava

MezhgorieSvalyava

VishkovoTyachev

Chop

Solotvina VBychkov

Rakhov

Dybovoe

Kolomia

Yaremcha

Kosov

Snyatin

Storozhinets

Mukachevo

Uzhgorod

CM4

CM7

CM43

CM30

CM36CM38

CM34CM18

CM29

CM31CM22

CM35

CM9

CM26

CM23

CM2

CM5

CM0

CM17

CM28

CM33

CM32

CM8 CM25

CM14CM11

CM23CM46

CM21CM45

CM40

CM44CM13CM42CM27CM39

CM6CM41

CM19

CM15CM20

CM10

CM3

CS3545

CS3639CS1132

CS1133

CS1134CS1171

CS3670

CS1169

CS1135

CS1174

CS1139

CS1140CS1195

CS1188

CS1187

CS1186

CS1194CM1191

CS3742 CS1181

CS1179

CS1184

CS1176

Kranj

Maribor

Celje

Jesenice

Skofja LokaDomzale Trbovlje

Velenje

Novo Mesto

Ptuj

Murska Sobota

S1

S2

S3

S4S5S6

S7

S8

S9 S10

S11 S12

S13

m1

m2

m3m4

m5

m6

m7

m8

m9

m10

m11

m12

m13

m14

m15

Bziceni

Ocnita

Edinet

Geodeni

Falesti

Ungheni

Nisporeni

Carpineni

Leova

Comrat

Congaz

Ciadiz-Lunga

Taraclia

Vulcanesti

Cahul

BenderTiraspol

Belti

Kishinev

A326A323

A322

A324

A321

A522

A521

A721

A723

A724

A621

A821A923

A924

A1024

A921A922A1023

A1025

A1026

A1021

A1121

A1022A1031A1029

A1028A1027

A1030

A1032A1221

A1321

A1428

A1414A1427

A1424A1422

A1421

A1426A1425

A1528A1524A1526

A1527A1525

A1523

A1522

A1521

A422

A423

A722

A421

A1222

A73100007

A73200417A73200617

A73300407

A75000987

A40502037

A40502017

A4041017

A54110127A5411057

A54110017

A51210147A73390966

A40607017

A40607027

A40709117

A40709077

A40709067

A40709047

A40709037

A40709027

A40710027A40710017

A40907037

A40814047 A30900057

A30900047

A30900027

A30900017

A92001017

A31000017A31000027

A31100047

A31100057

A31100037

A31200037

A10000077

A10000027

A10000107A10000097

A10000087

A61400147A61400137

A61400127

A61400117

A61400107

A61400087A61400157

A21560297A21500087A21551267

A21551257

A21500057A21530157

A21500047

A21500027

A21510107A71560907

BUDAPEST1

BUDAPEST2

BUDAPEST3

DEBRECEN

MISKOLC

SZEGED

PECS

GYOR

NYIREGYHAZA1NYIREGYHAZA2

SZEKESFEHERVAR

KECSKEM ET

SZOMBATHELYSZOLNOK

TATABANYA

KAPOSVAR

BEKESCSABA

VESZPREM

ZALAEGERSZEG

EGER

DUNAUJVAROS

SOPRON

NAGYKANIZSA HODMEZOVASARHELY

ERD

SALGOTARJAN

OZD

BAJA

CEGLED

SZEKSZARD

KAZINCBARCIKA

GYONGYOS

PAPA

VAC

GYULA

AJKA

KISKUNFELEGYHAZASZENTES

HAJDUBOSZORM ENY

MOSONMAGYAROVAR1MOSONMAGYAROVAR2

GODOLLO

JASZBERENY

ESZTERGOM

KOMLO

OROSHAZA

DUNAKESZI

NAGYKOROS

VARPALOTA

MAKO

TATA HATVAN

TOROKSZENTMIKLOS

HAJDUSZOBOSZLO

KARCAG

BEKES

BUDAORSOROSZLANY

SZENTENDRE

SZIGETSZENTMIKLOS

DOMBOVAR

MOHACS

KOMAROM

PAKS

MEZOTUR

CSONGRAD

HAJDUNANAS

MONOR

TAPOLCA

GYAL

SZARVAS

MATESZALKA

BALMAZUJVAROS

BALASSAGYARMAT

SATORALJAUJHELY

TISZAUJVAROS

KALOCSA

VECSES

KISVARDA

MEZOKOVESD

SZAZHALOMBATTA BERETTYOUJFALU

GYOMAENDROD

SARVAR

ABONY

BATONYTERENYE

DUNAHARASZTI

DABAS

SAROSPATAK

BONYHAD

MOR

FOT TISZAFURED

TISZAVASVARI

GOD

SAJOSZENTPETER

SARBOGARD

NYIRBATOR

PUSPOKLADANY

DOROG

KISUJSZALLAS

POMAZ

KORMEND

HAJDUHADHAZ

MARCALI

NAGYATAD

BARCS

GYOMRO

TOLNA

NAGYKATA

CELLDOMOLK

PILISVOROSVAR

KOSZEG

TISZAKECSKE

BUDAKESZI

HEVES

TISZAFOLDVAR

MEZOBERENY

BICSKE

SZIGETVAR

PECEL

SARKAD

LAJOSMIZSE

KAPUVARCSORNA

ALBERTIRSA

SIKLOS

PASZTO

TURKEVE

SZERENCS

KUNSZENTMARTON

EDELENY

UJFEHERTO

SZIGETHALOM

SZEGHALOM

BUDAPEST CANNING-BREWERYBUDAPESTPAPER

TISZAUJVAROS CHEMICAL

KAZINCBARCIKA CHEMICAL

DUNAUJVAROS PAPERDUNAUJVAROS METALLURGICAL

ALMASFUZITO CHEMICALLABATLAN PAPER

MARCALI LEATHER

BALATONFUZFO CHEMICAL

PET CHEMICAL

PECS LEATHER

01FF01

01FF0201FF07 01FF04

02FF51

02FF02

02FF32

03FF06

03FF05

03FF07

03FF01

01FF13

01FF11

01FF22

01FF12

02FF17

02FF03

06FF27

04FF11

04FF14

02FF12

01FF62

01FF40

01FF38

06FF23

07FF01

07FF04

07FF05

08FF02

08FF04

10FF02

10FF04

10FF12

10FF14

11FF11

11FF12

07FF10

07FF11

07FF29

08FF07

09FF0308FF15

10FF22

11FF63

11FF32

CID

CIC

CIBCIE

CIA

BUDAORS CHEMICAL

CM12CM47

PECS LEATHER

A711A713A712

A311

A411

A1111

A1112

A1012

A1413A1411

A1414

A1412

A1416

A1311

A1313

A1312

A913

A912

A612

A611 A911

BUDAORS CHEMICAL

PET CHEMICAL

BALATONFUZFO CHEMICAL

MARCALI LEATHER

DUNAUJVAROS PAPER

CIECIB

CIA

CID

CIC

TISZAUJVAROS CHEMICAL

KAZINCBARCIKA CHEMICAL

agriculture

WWTP

others

others s a

Novi Sad

Osijek

Nis

Rijeka

Split

Constanca

Varna

Craiova

Ploesti

Braila

Sarajevo

Sofia

Bucuresti

Beograd

BM3

BM9

BM1

BM4

BM8

BM25

BM5BM2

BM38

BM16

BM35

BM36

BM37

BM22BM23

BM15

BM19

BM10

BM14

BM18

BM21

BM12

BM24

BM11BM17

BM28

BM26 BM29

BM32

BM31

BM27

BM33

BM13

BM34

BI1

BI2

BI3

BI4

BI5

BI9

BS334 BS147

BS336

BS17

BS335

BS337

BS175BS18

BS342

BS346

BS345

BS344

BS178

BS339

BS27

BS348

BS32

BS197

BS37

BS30

BS191BS29

BS190BS28

BS189

BS25

BS355

BS40

BS39

BS201

BS33

BS352

BS198BS194

BS199

BS198

BS45

BS206

BS44

BS43

BS42

BS205BS206

BS51

BS360BS358

BS53

BSBS4

BS220BS270

BS49BS216

BS210

BS209

BS208

BS234

BS232BS364

BS363

BS56

BS230231BS229

BS55BS228

BS361

BS182

BS347

05FF18

BI4

BI1

BI3

BI2

BI5

BI9

Phosphorus105 kta

agricultureWWTP

others

PH Brunner 1424CTCI at NTU October 5 2009

A direct and indirect inputs of animal waste productsB erosion and leachingC direct flows from private households and industryD diffuse inputs from forestry (erosion percolation)

15

MFA for environmental protection and resources management

1st generation MFA Environmental protection

bull DDT

bull CFCs

bull PCBs NP etc

bull C -gt CO2 and CH42 4

PH Brunner 1524CTCI at NTU October 5 2009

16

MFA for greenhouse gas emission assessment

CO2 from hellip sources

fossil biogenic

f ilbiogenic

Energy from hellip sources

PH Brunner 1624CTCI at NTU October 5 2009

fossil

17

Concept of Balance Method

Material data of waste inputBiogenic matter C H O N S Cl

Fossil matter C H O N S Cl

800

Fossil matter C H O N S Cl

Balance equations

mI

c m + c m

mB + mF + mI + mw

= awaste

= 1

mI

c m + c m

mB + mF + mI + mw

= awaste

= 1

0

200

400

600

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

kg CO2 foss t waste

Revision of plant

cB mB + cF mF

HVB mB + HVF mF -245mW

dO2-CO2 mB + dO2-CO2 mF

= cwaste

= HVwaste

= dO2-CO2waste

O2CB mB + O2

CF mF = O2

Cwaste

cB mB + cF mF

HVB mB + HVF mF -245mW

dO2-CO2 mB + dO2-CO2 mF

= cwaste

= HVwaste

= dO2-CO2waste

O2CB mB + O2

CF mF = O2

Cwaste

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

30

40

50

60

70

80

90

100

o o

f energ

y fr

om

enic

sourc

es [

]

Line 1

Line 2

30

40

50

60

70

80

90

100

o o

f energ

y fr

om

enic

sourc

es [

]

Line 1

Line 2

PH Brunner 1724CTCI at NTU October 5 2009

Operating data from WTE plantWaste input flue gas volume

CO2 O2 steam production0

10

20

30

010707 010807 010907 011007

Rati

obio

ge

0

10

20

30

010707 010807 010907 011007

Rati

obio

ge

18

Balance Equation

mB + mF + mI + mw = 1Mass balance

mI

cB mB + cF mF

HV HV 2 45

= awaste

= cwaste

ldquoAshrdquo-balance

Carbon-balance

HVB mB + HVF mF -245mW

dO2-CO2 mB + dO2-CO2 mF

= HVwaste

= dO CO t

Energy-balance

Difference of d

O2-consumption O2CB mB + O2

CF mF = O2

Cwaste

PH Brunner 1824CTCI at NTU October 5 2009

dO2-CO2 B dO2-CO2 F = dO2-CO2wasteO2-cons +CO2-prod

Derived from operating dataCoefficients (given by the chemical composition of

biogenic and fossil matter)

19

Results (annual values)

CO2 - Emissions Fraction of fossil CO2 emissions []CO2 Emissions

819 plusmn39727 plusmn31

60 000

80000

100000

ssio

ns

sye

ar]

40

50

60

702 []

Radiocarbon methodBalance method

0

20000

40000

60000

CO

2-E

mi

[kilo

ton

s

bi i f il

529 471

0

10

20

30

PH Brunner 1924CTCI at NTU October 5 2009Johann Fellner

biogenic fossil

20

MFA for environmental protection and resources management

1st generation MFA Environmental protection

bull DDT

bull CFCs

bull PCBs NP etc

bull C -gt CO2 and CH42 4

2nd generation Resource management

bull Regional nutrient flows -gt integrated P management

bull Regional and global metal flows and stocks (Graedel)

PH Brunner 2024CTCI at NTU October 5 2009

bull Regional and global metal flows and stocks (Graedel)

-gt future metal management

21

Copper management based on MFA

11000 11500 3800

54011000

300000+7700

productscathodiccopper

Cu scrap III

680

Cu scrap II

waste

lOre

useWaste

management

54

1400Cu scrap I

11000 11500copper

production

2Copper

manufacturing

3

580000-11000

85000+3100

1700

Waste to landfill

1200waste

150slagOre

1 6Lithosphere landfill

flows 1000 tastocks 1000 t

PH Brunner 2124CTCI at NTU October 5 2009

source Graedel et al 2002 and Rechberger

World 1994rdquo

22

Application of MFA for governance in waste management

Goal improve waste management practice

step 1 professional MFA standard OumlWAV guideline (consensus)

step 2 Austrian Standard ONORM S 2096 ldquoMFA- Application in

waste managementrdquo

step 3 easy to use software STAN (freeware) for MFA in wm

step 4 mandatory MFA requirement for certified MSW companies

step 5 routine waste analysis by MFA on selected MSW incinerators

step 6 Link all relevant information for a new knowledge base (eg

PH Brunner 2224CTCI at NTU October 5 2009

for national waste management plan)

23

Conclusions

Objective - sustainable resource use

long term en ironmental protection- long-term environmental protection

MFA is instrumental for this objective because

bull it is a rigid transparent and objectiv method to model andvisualize material flows including uncertainty

bull It facilitates understanding and public acceptance of decisions

bull It is a key decision support tool for resource management environmental management and waste management

bull It is indispensable to establish knowledge bases for em rm andwm

PH Brunner 2324CTCI at NTU October 5 2009

wm

bull It needs to be standardized in order to fully exploit its potential

24

ThankThank youyou

PH Brunner 2424CTCI at NTU October 5 2009

3

Vision and Motivation

1 Sustainable development

- long term environmental protection- bdquobestldquo resource use- bdquoutility and happiness foreverldquo

2 How to measure and to achieve SD

3 MFA as a key method in the tool box for SD

4 The two aspects goods and substances- goods as economic units (quantity)- substances determining ecological and resource qualities

PH Brunner 324CTCI at NTU October 5 2009

g g q

4

MFA definitions

bull Goods and substances

bull Processes and stocks

bull Flows and fluxes

T f ffi i tbull Transfer coefficients

bull System and system boundaries

PH Brunner 424CTCI at NTU October 5 2009

5

Most simple case of MFA 1-process system

systems boundary

A

B

C

systems boundary

ProcessA C

D

s + s

PH Brunner 524CTCI at NTU October 5 2009

6

atmosphere

flow = 230 ta export = 170 ta

meat milk eggsphosphorous [ta]

stock 10000 + 70 ta

10-process system bdquoregional phosphorous flows and stocksldquo

agr soil

plantcultivation

fertilicer

animal feedstockanimals

meat milk eggs

cerealsvegetables fruits

10 000+68

30

24

85

3

13

45 100109

17

78

phosphorous [ta]

wwtplandfill

surface waterriver

food

surface water

74

13

19

17

38

28

PH Brunner 624CTCI at NTU October 5 2009

industryprivate hh

industrial products

sewer

cleaners foodgt4017 17 21

gt61

38

7

Procedure to establish MFA

Problem definition

Selection ofsubstances

Determination of system boundaries

Selection ofprocesses

Selection of goods

Adjustment

System definition

m Determination ofDetermination offl d t k w

s erm

ine g

oo

ds

em

Ad

just

sys

tem Determination of

mass flows

Balancing of goods

Determination ofconcentrations

flows and stocks

Refi

ne

ntr

ati

on

s

2

Refi

ne

mass

flo

ws

1

Refi

ne

mass

flo

w

2

Red

ete

Red

efi

ne

pro

ble

PH Brunner 724CTCI at NTU October 5 2009

Interpretation and illustration

Balancingof substances 1

R

con

ce

8

STAN freeware to support MFA including uncertainty

STAN

httpwwwiwatuwienacatiwa226_englishstanhtml

composting plantmfa

PH Brunner 824CTCI at NTU October 5 2009

9

STAN allows modelling more complexe systems such as wm

PH Brunner 924CTCI at NTU October 5 2009

10

Scale from human to hellip

700

0

respirationtranspiration mass [kgca]

phosphorus [gca]

50100

450

270

humanbody

1700

390

food

0

feces

urine

270

400

20

sewage

PH Brunner 1024CTCI at NTU October 5 2009

11

Scale from human to household to hellip

7000

respirationtranspiration mass [kgca]

phosphorus [gca]

50100

450

270

humanbody

1700

430 kitchen

food

0

feces

urine

270

total foodwastes toseweringsystem

10040

40020

900

390

garbage sewage

to STP

PH Brunner 1124CTCI at NTU October 5 2009

40

to MSWtreatment

to STPsystems boundaries phh 1year

12

Scale from human to household to regional tohellip

atmosphere

flow = 230 ta export = 170 ta

meat milk eggsphosphorous [ta]

stock 10000 + 70 ta

agr soil

plantcultivation

fertilicer

animal feedstockanimals

meat milk eggs

cerealsvegetables fruits

10 000+68

30

24

85

3

13

45 100109

17

78

phosphorous [ta]

wwtplandfill

surface waterriver

food

surface water

74

13

19

17

38

28

PH Brunner 1224CTCI at NTU October 5 2009

industryprivate hh

industrial products

sewer

cleaners foodgt4017 17 21

gt61

38

13

Scale from human to household to regional to national tohellip

[kgca]

5 1 04agriculturefood

processingprivate

household

systems boundaries region1year

4 06 04

agricultural lossesand wastes

food processingwastes

sewage and MSW

PH Brunner 1324CTCI at NTU October 5 2009

14

Contribution of various sectors to the nu-trients in the river Danube watershed

Scale from human to household to regional to national to watershedhellip

Nitrogen825 kta

Ismail

Tirgu Mures

Kosice

Klagenfurt

Insbruck

Gyor

Szombathely

Cluj-Napoca

BrasovGalat

Iasi

Tchernovte

Miskolc

Debrecen

Oradea

Arad

Szeged

Pecs

Zagreb

Ljubljana

Bratislava

Brno

Linz

Regensburg

Augsburg

Munchen

Szekesfehervar

Graz

Salzburg

Budapest

Wien

Praha

Trnava

Nitra

Trencin

Prievidza Banska Bystrica

Zilina

Martin

Prasov

Levice

PiestanyTopolcany

Povazska BystricaLiptovsky Mikulas

Zvolen

Spisska Nova Ves

Bardejov

Humenne

Michalovce

Komarno

u61

u62

u59

u48

u58

u57

u56

u55

u47

u46

u45 u71

u54

u53

u52

u44 u50

u49 u65

u70

u69

u66

u67

u64BeregovoVinogradov

Vilok

Khust

Irshava

MezhgorieSvalyava

VishkovoTyachev

Chop

Solotvina VBychkov

Rakhov

Dybovoe

Kolomia

Yaremcha

Kosov

Snyatin

Storozhinets

Mukachevo

Uzhgorod

CM4

CM7

CM43

CM30

CM36CM38

CM34CM18

CM29

CM31CM22

CM35

CM9

CM26

CM23

CM2

CM5

CM0

CM17

CM28

CM33

CM32

CM8 CM25

CM14CM11

CM23CM46

CM21CM45

CM40

CM44CM13CM42CM27CM39

CM6CM41

CM19

CM15CM20

CM10

CM3

CS3545

CS3639CS1132

CS1133

CS1134CS1171

CS3670

CS1169

CS1135

CS1174

CS1139

CS1140CS1195

CS1188

CS1187

CS1186

CS1194CM1191

CS3742 CS1181

CS1179

CS1184

CS1176

Kranj

Maribor

Celje

Jesenice

Skofja LokaDomzale Trbovlje

Velenje

Novo Mesto

Ptuj

Murska Sobota

S1

S2

S3

S4S5S6

S7

S8

S9 S10

S11 S12

S13

m1

m2

m3m4

m5

m6

m7

m8

m9

m10

m11

m12

m13

m14

m15

Bziceni

Ocnita

Edinet

Geodeni

Falesti

Ungheni

Nisporeni

Carpineni

Leova

Comrat

Congaz

Ciadiz-Lunga

Taraclia

Vulcanesti

Cahul

BenderTiraspol

Belti

Kishinev

A326A323

A322

A324

A321

A522

A521

A721

A723

A724

A621

A821A923

A924

A1024

A921A922A1023

A1025

A1026

A1021

A1121

A1022A1031A1029

A1028A1027

A1030

A1032A1221

A1321

A1428

A1414A1427

A1424A1422

A1421

A1426A1425

A1528A1524A1526

A1527A1525

A1523

A1522

A1521

A422

A423

A722

A421

A1222

A73100007

A73200417A73200617

A73300407

A75000987

A40502037

A40502017

A4041017

A54110127A5411057

A54110017

A51210147A73390966

A40607017

A40607027

A40709117

A40709077

A40709067

A40709047

A40709037

A40709027

A40710027A40710017

A40907037

A40814047 A30900057

A30900047

A30900027

A30900017

A92001017

A31000017A31000027

A31100047

A31100057

A31100037

A31200037

A10000077

A10000027

A10000107A10000097

A10000087

A61400147A61400137

A61400127

A61400117

A61400107

A61400087A61400157

A21560297A21500087A21551267

A21551257

A21500057A21530157

A21500047

A21500027

A21510107A71560907

BUDAPEST1

BUDAPEST2

BUDAPEST3

DEBRECEN

MISKOLC

SZEGED

PECS

GYOR

NYIREGYHAZA1NYIREGYHAZA2

SZEKESFEHERVAR

KECSKEM ET

SZOMBATHELYSZOLNOK

TATABANYA

KAPOSVAR

BEKESCSABA

VESZPREM

ZALAEGERSZEG

EGER

DUNAUJVAROS

SOPRON

NAGYKANIZSA HODMEZOVASARHELY

ERD

SALGOTARJAN

OZD

BAJA

CEGLED

SZEKSZARD

KAZINCBARCIKA

GYONGYOS

PAPA

VAC

GYULA

AJKA

KISKUNFELEGYHAZASZENTES

HAJDUBOSZORM ENY

MOSONMAGYAROVAR1MOSONMAGYAROVAR2

GODOLLO

JASZBERENY

ESZTERGOM

KOMLO

OROSHAZA

DUNAKESZI

NAGYKOROS

VARPALOTA

MAKO

TATA HATVAN

TOROKSZENTMIKLOS

HAJDUSZOBOSZLO

KARCAG

BEKES

BUDAORSOROSZLANY

SZENTENDRE

SZIGETSZENTMIKLOS

DOMBOVAR

MOHACS

KOMAROM

PAKS

MEZOTUR

CSONGRAD

HAJDUNANAS

MONOR

TAPOLCA

GYAL

SZARVAS

MATESZALKA

BALMAZUJVAROS

BALASSAGYARMAT

SATORALJAUJHELY

TISZAUJVAROS

KALOCSA

VECSES

KISVARDA

MEZOKOVESD

SZAZHALOMBATTA BERETTYOUJFALU

GYOMAENDROD

SARVAR

ABONY

BATONYTERENYE

DUNAHARASZTI

DABAS

SAROSPATAK

BONYHAD

MOR

FOT TISZAFURED

TISZAVASVARI

GOD

SAJOSZENTPETER

SARBOGARD

NYIRBATOR

PUSPOKLADANY

DOROG

KISUJSZALLAS

POMAZ

KORMEND

HAJDUHADHAZ

MARCALI

NAGYATAD

BARCS

GYOMRO

TOLNA

NAGYKATA

CELLDOMOLK

PILISVOROSVAR

KOSZEG

TISZAKECSKE

BUDAKESZI

HEVES

TISZAFOLDVAR

MEZOBERENY

BICSKE

SZIGETVAR

PECEL

SARKAD

LAJOSMIZSE

KAPUVARCSORNA

ALBERTIRSA

SIKLOS

PASZTO

TURKEVE

SZERENCS

KUNSZENTMARTON

EDELENY

UJFEHERTO

SZIGETHALOM

SZEGHALOM

BUDAPEST CANNING-BREWERYBUDAPESTPAPER

TISZAUJVAROS CHEMICAL

KAZINCBARCIKA CHEMICAL

DUNAUJVAROS PAPERDUNAUJVAROS METALLURGICAL

ALMASFUZITO CHEMICALLABATLAN PAPER

MARCALI LEATHER

BALATONFUZFO CHEMICAL

PET CHEMICAL

PECS LEATHER

01FF01

01FF0201FF07 01FF04

02FF51

02FF02

02FF32

03FF06

03FF05

03FF07

03FF01

01FF13

01FF11

01FF22

01FF12

02FF17

02FF03

06FF27

04FF11

04FF14

02FF12

01FF62

01FF40

01FF38

06FF23

07FF01

07FF04

07FF05

08FF02

08FF04

10FF02

10FF04

10FF12

10FF14

11FF11

11FF12

07FF10

07FF11

07FF29

08FF07

09FF0308FF15

10FF22

11FF63

11FF32

CID

CIC

CIBCIE

CIA

BUDAORS CHEMICAL

CM12CM47

PECS LEATHER

A711A713A712

A311

A411

A1111

A1112

A1012

A1413A1411

A1414

A1412

A1416

A1311

A1313

A1312

A913

A912

A612

A611 A911

BUDAORS CHEMICAL

PET CHEMICAL

BALATONFUZFO CHEMICAL

MARCALI LEATHER

DUNAUJVAROS PAPER

CIECIB

CIA

CID

CIC

TISZAUJVAROS CHEMICAL

KAZINCBARCIKA CHEMICAL

agriculture

WWTP

others

others s a

Novi Sad

Osijek

Nis

Rijeka

Split

Constanca

Varna

Craiova

Ploesti

Braila

Sarajevo

Sofia

Bucuresti

Beograd

BM3

BM9

BM1

BM4

BM8

BM25

BM5BM2

BM38

BM16

BM35

BM36

BM37

BM22BM23

BM15

BM19

BM10

BM14

BM18

BM21

BM12

BM24

BM11BM17

BM28

BM26 BM29

BM32

BM31

BM27

BM33

BM13

BM34

BI1

BI2

BI3

BI4

BI5

BI9

BS334 BS147

BS336

BS17

BS335

BS337

BS175BS18

BS342

BS346

BS345

BS344

BS178

BS339

BS27

BS348

BS32

BS197

BS37

BS30

BS191BS29

BS190BS28

BS189

BS25

BS355

BS40

BS39

BS201

BS33

BS352

BS198BS194

BS199

BS198

BS45

BS206

BS44

BS43

BS42

BS205BS206

BS51

BS360BS358

BS53

BSBS4

BS220BS270

BS49BS216

BS210

BS209

BS208

BS234

BS232BS364

BS363

BS56

BS230231BS229

BS55BS228

BS361

BS182

BS347

05FF18

BI4

BI1

BI3

BI2

BI5

BI9

Phosphorus105 kta

agricultureWWTP

others

PH Brunner 1424CTCI at NTU October 5 2009

A direct and indirect inputs of animal waste productsB erosion and leachingC direct flows from private households and industryD diffuse inputs from forestry (erosion percolation)

15

MFA for environmental protection and resources management

1st generation MFA Environmental protection

bull DDT

bull CFCs

bull PCBs NP etc

bull C -gt CO2 and CH42 4

PH Brunner 1524CTCI at NTU October 5 2009

16

MFA for greenhouse gas emission assessment

CO2 from hellip sources

fossil biogenic

f ilbiogenic

Energy from hellip sources

PH Brunner 1624CTCI at NTU October 5 2009

fossil

17

Concept of Balance Method

Material data of waste inputBiogenic matter C H O N S Cl

Fossil matter C H O N S Cl

800

Fossil matter C H O N S Cl

Balance equations

mI

c m + c m

mB + mF + mI + mw

= awaste

= 1

mI

c m + c m

mB + mF + mI + mw

= awaste

= 1

0

200

400

600

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

kg CO2 foss t waste

Revision of plant

cB mB + cF mF

HVB mB + HVF mF -245mW

dO2-CO2 mB + dO2-CO2 mF

= cwaste

= HVwaste

= dO2-CO2waste

O2CB mB + O2

CF mF = O2

Cwaste

cB mB + cF mF

HVB mB + HVF mF -245mW

dO2-CO2 mB + dO2-CO2 mF

= cwaste

= HVwaste

= dO2-CO2waste

O2CB mB + O2

CF mF = O2

Cwaste

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

30

40

50

60

70

80

90

100

o o

f energ

y fr

om

enic

sourc

es [

]

Line 1

Line 2

30

40

50

60

70

80

90

100

o o

f energ

y fr

om

enic

sourc

es [

]

Line 1

Line 2

PH Brunner 1724CTCI at NTU October 5 2009

Operating data from WTE plantWaste input flue gas volume

CO2 O2 steam production0

10

20

30

010707 010807 010907 011007

Rati

obio

ge

0

10

20

30

010707 010807 010907 011007

Rati

obio

ge

18

Balance Equation

mB + mF + mI + mw = 1Mass balance

mI

cB mB + cF mF

HV HV 2 45

= awaste

= cwaste

ldquoAshrdquo-balance

Carbon-balance

HVB mB + HVF mF -245mW

dO2-CO2 mB + dO2-CO2 mF

= HVwaste

= dO CO t

Energy-balance

Difference of d

O2-consumption O2CB mB + O2

CF mF = O2

Cwaste

PH Brunner 1824CTCI at NTU October 5 2009

dO2-CO2 B dO2-CO2 F = dO2-CO2wasteO2-cons +CO2-prod

Derived from operating dataCoefficients (given by the chemical composition of

biogenic and fossil matter)

19

Results (annual values)

CO2 - Emissions Fraction of fossil CO2 emissions []CO2 Emissions

819 plusmn39727 plusmn31

60 000

80000

100000

ssio

ns

sye

ar]

40

50

60

702 []

Radiocarbon methodBalance method

0

20000

40000

60000

CO

2-E

mi

[kilo

ton

s

bi i f il

529 471

0

10

20

30

PH Brunner 1924CTCI at NTU October 5 2009Johann Fellner

biogenic fossil

20

MFA for environmental protection and resources management

1st generation MFA Environmental protection

bull DDT

bull CFCs

bull PCBs NP etc

bull C -gt CO2 and CH42 4

2nd generation Resource management

bull Regional nutrient flows -gt integrated P management

bull Regional and global metal flows and stocks (Graedel)

PH Brunner 2024CTCI at NTU October 5 2009

bull Regional and global metal flows and stocks (Graedel)

-gt future metal management

21

Copper management based on MFA

11000 11500 3800

54011000

300000+7700

productscathodiccopper

Cu scrap III

680

Cu scrap II

waste

lOre

useWaste

management

54

1400Cu scrap I

11000 11500copper

production

2Copper

manufacturing

3

580000-11000

85000+3100

1700

Waste to landfill

1200waste

150slagOre

1 6Lithosphere landfill

flows 1000 tastocks 1000 t

PH Brunner 2124CTCI at NTU October 5 2009

source Graedel et al 2002 and Rechberger

World 1994rdquo

22

Application of MFA for governance in waste management

Goal improve waste management practice

step 1 professional MFA standard OumlWAV guideline (consensus)

step 2 Austrian Standard ONORM S 2096 ldquoMFA- Application in

waste managementrdquo

step 3 easy to use software STAN (freeware) for MFA in wm

step 4 mandatory MFA requirement for certified MSW companies

step 5 routine waste analysis by MFA on selected MSW incinerators

step 6 Link all relevant information for a new knowledge base (eg

PH Brunner 2224CTCI at NTU October 5 2009

for national waste management plan)

23

Conclusions

Objective - sustainable resource use

long term en ironmental protection- long-term environmental protection

MFA is instrumental for this objective because

bull it is a rigid transparent and objectiv method to model andvisualize material flows including uncertainty

bull It facilitates understanding and public acceptance of decisions

bull It is a key decision support tool for resource management environmental management and waste management

bull It is indispensable to establish knowledge bases for em rm andwm

PH Brunner 2324CTCI at NTU October 5 2009

wm

bull It needs to be standardized in order to fully exploit its potential

24

ThankThank youyou

PH Brunner 2424CTCI at NTU October 5 2009

4

MFA definitions

bull Goods and substances

bull Processes and stocks

bull Flows and fluxes

T f ffi i tbull Transfer coefficients

bull System and system boundaries

PH Brunner 424CTCI at NTU October 5 2009

5

Most simple case of MFA 1-process system

systems boundary

A

B

C

systems boundary

ProcessA C

D

s + s

PH Brunner 524CTCI at NTU October 5 2009

6

atmosphere

flow = 230 ta export = 170 ta

meat milk eggsphosphorous [ta]

stock 10000 + 70 ta

10-process system bdquoregional phosphorous flows and stocksldquo

agr soil

plantcultivation

fertilicer

animal feedstockanimals

meat milk eggs

cerealsvegetables fruits

10 000+68

30

24

85

3

13

45 100109

17

78

phosphorous [ta]

wwtplandfill

surface waterriver

food

surface water

74

13

19

17

38

28

PH Brunner 624CTCI at NTU October 5 2009

industryprivate hh

industrial products

sewer

cleaners foodgt4017 17 21

gt61

38

7

Procedure to establish MFA

Problem definition

Selection ofsubstances

Determination of system boundaries

Selection ofprocesses

Selection of goods

Adjustment

System definition

m Determination ofDetermination offl d t k w

s erm

ine g

oo

ds

em

Ad

just

sys

tem Determination of

mass flows

Balancing of goods

Determination ofconcentrations

flows and stocks

Refi

ne

ntr

ati

on

s

2

Refi

ne

mass

flo

ws

1

Refi

ne

mass

flo

w

2

Red

ete

Red

efi

ne

pro

ble

PH Brunner 724CTCI at NTU October 5 2009

Interpretation and illustration

Balancingof substances 1

R

con

ce

8

STAN freeware to support MFA including uncertainty

STAN

httpwwwiwatuwienacatiwa226_englishstanhtml

composting plantmfa

PH Brunner 824CTCI at NTU October 5 2009

9

STAN allows modelling more complexe systems such as wm

PH Brunner 924CTCI at NTU October 5 2009

10

Scale from human to hellip

700

0

respirationtranspiration mass [kgca]

phosphorus [gca]

50100

450

270

humanbody

1700

390

food

0

feces

urine

270

400

20

sewage

PH Brunner 1024CTCI at NTU October 5 2009

11

Scale from human to household to hellip

7000

respirationtranspiration mass [kgca]

phosphorus [gca]

50100

450

270

humanbody

1700

430 kitchen

food

0

feces

urine

270

total foodwastes toseweringsystem

10040

40020

900

390

garbage sewage

to STP

PH Brunner 1124CTCI at NTU October 5 2009

40

to MSWtreatment

to STPsystems boundaries phh 1year

12

Scale from human to household to regional tohellip

atmosphere

flow = 230 ta export = 170 ta

meat milk eggsphosphorous [ta]

stock 10000 + 70 ta

agr soil

plantcultivation

fertilicer

animal feedstockanimals

meat milk eggs

cerealsvegetables fruits

10 000+68

30

24

85

3

13

45 100109

17

78

phosphorous [ta]

wwtplandfill

surface waterriver

food

surface water

74

13

19

17

38

28

PH Brunner 1224CTCI at NTU October 5 2009

industryprivate hh

industrial products

sewer

cleaners foodgt4017 17 21

gt61

38

13

Scale from human to household to regional to national tohellip

[kgca]

5 1 04agriculturefood

processingprivate

household

systems boundaries region1year

4 06 04

agricultural lossesand wastes

food processingwastes

sewage and MSW

PH Brunner 1324CTCI at NTU October 5 2009

14

Contribution of various sectors to the nu-trients in the river Danube watershed

Scale from human to household to regional to national to watershedhellip

Nitrogen825 kta

Ismail

Tirgu Mures

Kosice

Klagenfurt

Insbruck

Gyor

Szombathely

Cluj-Napoca

BrasovGalat

Iasi

Tchernovte

Miskolc

Debrecen

Oradea

Arad

Szeged

Pecs

Zagreb

Ljubljana

Bratislava

Brno

Linz

Regensburg

Augsburg

Munchen

Szekesfehervar

Graz

Salzburg

Budapest

Wien

Praha

Trnava

Nitra

Trencin

Prievidza Banska Bystrica

Zilina

Martin

Prasov

Levice

PiestanyTopolcany

Povazska BystricaLiptovsky Mikulas

Zvolen

Spisska Nova Ves

Bardejov

Humenne

Michalovce

Komarno

u61

u62

u59

u48

u58

u57

u56

u55

u47

u46

u45 u71

u54

u53

u52

u44 u50

u49 u65

u70

u69

u66

u67

u64BeregovoVinogradov

Vilok

Khust

Irshava

MezhgorieSvalyava

VishkovoTyachev

Chop

Solotvina VBychkov

Rakhov

Dybovoe

Kolomia

Yaremcha

Kosov

Snyatin

Storozhinets

Mukachevo

Uzhgorod

CM4

CM7

CM43

CM30

CM36CM38

CM34CM18

CM29

CM31CM22

CM35

CM9

CM26

CM23

CM2

CM5

CM0

CM17

CM28

CM33

CM32

CM8 CM25

CM14CM11

CM23CM46

CM21CM45

CM40

CM44CM13CM42CM27CM39

CM6CM41

CM19

CM15CM20

CM10

CM3

CS3545

CS3639CS1132

CS1133

CS1134CS1171

CS3670

CS1169

CS1135

CS1174

CS1139

CS1140CS1195

CS1188

CS1187

CS1186

CS1194CM1191

CS3742 CS1181

CS1179

CS1184

CS1176

Kranj

Maribor

Celje

Jesenice

Skofja LokaDomzale Trbovlje

Velenje

Novo Mesto

Ptuj

Murska Sobota

S1

S2

S3

S4S5S6

S7

S8

S9 S10

S11 S12

S13

m1

m2

m3m4

m5

m6

m7

m8

m9

m10

m11

m12

m13

m14

m15

Bziceni

Ocnita

Edinet

Geodeni

Falesti

Ungheni

Nisporeni

Carpineni

Leova

Comrat

Congaz

Ciadiz-Lunga

Taraclia

Vulcanesti

Cahul

BenderTiraspol

Belti

Kishinev

A326A323

A322

A324

A321

A522

A521

A721

A723

A724

A621

A821A923

A924

A1024

A921A922A1023

A1025

A1026

A1021

A1121

A1022A1031A1029

A1028A1027

A1030

A1032A1221

A1321

A1428

A1414A1427

A1424A1422

A1421

A1426A1425

A1528A1524A1526

A1527A1525

A1523

A1522

A1521

A422

A423

A722

A421

A1222

A73100007

A73200417A73200617

A73300407

A75000987

A40502037

A40502017

A4041017

A54110127A5411057

A54110017

A51210147A73390966

A40607017

A40607027

A40709117

A40709077

A40709067

A40709047

A40709037

A40709027

A40710027A40710017

A40907037

A40814047 A30900057

A30900047

A30900027

A30900017

A92001017

A31000017A31000027

A31100047

A31100057

A31100037

A31200037

A10000077

A10000027

A10000107A10000097

A10000087

A61400147A61400137

A61400127

A61400117

A61400107

A61400087A61400157

A21560297A21500087A21551267

A21551257

A21500057A21530157

A21500047

A21500027

A21510107A71560907

BUDAPEST1

BUDAPEST2

BUDAPEST3

DEBRECEN

MISKOLC

SZEGED

PECS

GYOR

NYIREGYHAZA1NYIREGYHAZA2

SZEKESFEHERVAR

KECSKEM ET

SZOMBATHELYSZOLNOK

TATABANYA

KAPOSVAR

BEKESCSABA

VESZPREM

ZALAEGERSZEG

EGER

DUNAUJVAROS

SOPRON

NAGYKANIZSA HODMEZOVASARHELY

ERD

SALGOTARJAN

OZD

BAJA

CEGLED

SZEKSZARD

KAZINCBARCIKA

GYONGYOS

PAPA

VAC

GYULA

AJKA

KISKUNFELEGYHAZASZENTES

HAJDUBOSZORM ENY

MOSONMAGYAROVAR1MOSONMAGYAROVAR2

GODOLLO

JASZBERENY

ESZTERGOM

KOMLO

OROSHAZA

DUNAKESZI

NAGYKOROS

VARPALOTA

MAKO

TATA HATVAN

TOROKSZENTMIKLOS

HAJDUSZOBOSZLO

KARCAG

BEKES

BUDAORSOROSZLANY

SZENTENDRE

SZIGETSZENTMIKLOS

DOMBOVAR

MOHACS

KOMAROM

PAKS

MEZOTUR

CSONGRAD

HAJDUNANAS

MONOR

TAPOLCA

GYAL

SZARVAS

MATESZALKA

BALMAZUJVAROS

BALASSAGYARMAT

SATORALJAUJHELY

TISZAUJVAROS

KALOCSA

VECSES

KISVARDA

MEZOKOVESD

SZAZHALOMBATTA BERETTYOUJFALU

GYOMAENDROD

SARVAR

ABONY

BATONYTERENYE

DUNAHARASZTI

DABAS

SAROSPATAK

BONYHAD

MOR

FOT TISZAFURED

TISZAVASVARI

GOD

SAJOSZENTPETER

SARBOGARD

NYIRBATOR

PUSPOKLADANY

DOROG

KISUJSZALLAS

POMAZ

KORMEND

HAJDUHADHAZ

MARCALI

NAGYATAD

BARCS

GYOMRO

TOLNA

NAGYKATA

CELLDOMOLK

PILISVOROSVAR

KOSZEG

TISZAKECSKE

BUDAKESZI

HEVES

TISZAFOLDVAR

MEZOBERENY

BICSKE

SZIGETVAR

PECEL

SARKAD

LAJOSMIZSE

KAPUVARCSORNA

ALBERTIRSA

SIKLOS

PASZTO

TURKEVE

SZERENCS

KUNSZENTMARTON

EDELENY

UJFEHERTO

SZIGETHALOM

SZEGHALOM

BUDAPEST CANNING-BREWERYBUDAPESTPAPER

TISZAUJVAROS CHEMICAL

KAZINCBARCIKA CHEMICAL

DUNAUJVAROS PAPERDUNAUJVAROS METALLURGICAL

ALMASFUZITO CHEMICALLABATLAN PAPER

MARCALI LEATHER

BALATONFUZFO CHEMICAL

PET CHEMICAL

PECS LEATHER

01FF01

01FF0201FF07 01FF04

02FF51

02FF02

02FF32

03FF06

03FF05

03FF07

03FF01

01FF13

01FF11

01FF22

01FF12

02FF17

02FF03

06FF27

04FF11

04FF14

02FF12

01FF62

01FF40

01FF38

06FF23

07FF01

07FF04

07FF05

08FF02

08FF04

10FF02

10FF04

10FF12

10FF14

11FF11

11FF12

07FF10

07FF11

07FF29

08FF07

09FF0308FF15

10FF22

11FF63

11FF32

CID

CIC

CIBCIE

CIA

BUDAORS CHEMICAL

CM12CM47

PECS LEATHER

A711A713A712

A311

A411

A1111

A1112

A1012

A1413A1411

A1414

A1412

A1416

A1311

A1313

A1312

A913

A912

A612

A611 A911

BUDAORS CHEMICAL

PET CHEMICAL

BALATONFUZFO CHEMICAL

MARCALI LEATHER

DUNAUJVAROS PAPER

CIECIB

CIA

CID

CIC

TISZAUJVAROS CHEMICAL

KAZINCBARCIKA CHEMICAL

agriculture

WWTP

others

others s a

Novi Sad

Osijek

Nis

Rijeka

Split

Constanca

Varna

Craiova

Ploesti

Braila

Sarajevo

Sofia

Bucuresti

Beograd

BM3

BM9

BM1

BM4

BM8

BM25

BM5BM2

BM38

BM16

BM35

BM36

BM37

BM22BM23

BM15

BM19

BM10

BM14

BM18

BM21

BM12

BM24

BM11BM17

BM28

BM26 BM29

BM32

BM31

BM27

BM33

BM13

BM34

BI1

BI2

BI3

BI4

BI5

BI9

BS334 BS147

BS336

BS17

BS335

BS337

BS175BS18

BS342

BS346

BS345

BS344

BS178

BS339

BS27

BS348

BS32

BS197

BS37

BS30

BS191BS29

BS190BS28

BS189

BS25

BS355

BS40

BS39

BS201

BS33

BS352

BS198BS194

BS199

BS198

BS45

BS206

BS44

BS43

BS42

BS205BS206

BS51

BS360BS358

BS53

BSBS4

BS220BS270

BS49BS216

BS210

BS209

BS208

BS234

BS232BS364

BS363

BS56

BS230231BS229

BS55BS228

BS361

BS182

BS347

05FF18

BI4

BI1

BI3

BI2

BI5

BI9

Phosphorus105 kta

agricultureWWTP

others

PH Brunner 1424CTCI at NTU October 5 2009

A direct and indirect inputs of animal waste productsB erosion and leachingC direct flows from private households and industryD diffuse inputs from forestry (erosion percolation)

15

MFA for environmental protection and resources management

1st generation MFA Environmental protection

bull DDT

bull CFCs

bull PCBs NP etc

bull C -gt CO2 and CH42 4

PH Brunner 1524CTCI at NTU October 5 2009

16

MFA for greenhouse gas emission assessment

CO2 from hellip sources

fossil biogenic

f ilbiogenic

Energy from hellip sources

PH Brunner 1624CTCI at NTU October 5 2009

fossil

17

Concept of Balance Method

Material data of waste inputBiogenic matter C H O N S Cl

Fossil matter C H O N S Cl

800

Fossil matter C H O N S Cl

Balance equations

mI

c m + c m

mB + mF + mI + mw

= awaste

= 1

mI

c m + c m

mB + mF + mI + mw

= awaste

= 1

0

200

400

600

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

kg CO2 foss t waste

Revision of plant

cB mB + cF mF

HVB mB + HVF mF -245mW

dO2-CO2 mB + dO2-CO2 mF

= cwaste

= HVwaste

= dO2-CO2waste

O2CB mB + O2

CF mF = O2

Cwaste

cB mB + cF mF

HVB mB + HVF mF -245mW

dO2-CO2 mB + dO2-CO2 mF

= cwaste

= HVwaste

= dO2-CO2waste

O2CB mB + O2

CF mF = O2

Cwaste

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

30

40

50

60

70

80

90

100

o o

f energ

y fr

om

enic

sourc

es [

]

Line 1

Line 2

30

40

50

60

70

80

90

100

o o

f energ

y fr

om

enic

sourc

es [

]

Line 1

Line 2

PH Brunner 1724CTCI at NTU October 5 2009

Operating data from WTE plantWaste input flue gas volume

CO2 O2 steam production0

10

20

30

010707 010807 010907 011007

Rati

obio

ge

0

10

20

30

010707 010807 010907 011007

Rati

obio

ge

18

Balance Equation

mB + mF + mI + mw = 1Mass balance

mI

cB mB + cF mF

HV HV 2 45

= awaste

= cwaste

ldquoAshrdquo-balance

Carbon-balance

HVB mB + HVF mF -245mW

dO2-CO2 mB + dO2-CO2 mF

= HVwaste

= dO CO t

Energy-balance

Difference of d

O2-consumption O2CB mB + O2

CF mF = O2

Cwaste

PH Brunner 1824CTCI at NTU October 5 2009

dO2-CO2 B dO2-CO2 F = dO2-CO2wasteO2-cons +CO2-prod

Derived from operating dataCoefficients (given by the chemical composition of

biogenic and fossil matter)

19

Results (annual values)

CO2 - Emissions Fraction of fossil CO2 emissions []CO2 Emissions

819 plusmn39727 plusmn31

60 000

80000

100000

ssio

ns

sye

ar]

40

50

60

702 []

Radiocarbon methodBalance method

0

20000

40000

60000

CO

2-E

mi

[kilo

ton

s

bi i f il

529 471

0

10

20

30

PH Brunner 1924CTCI at NTU October 5 2009Johann Fellner

biogenic fossil

20

MFA for environmental protection and resources management

1st generation MFA Environmental protection

bull DDT

bull CFCs

bull PCBs NP etc

bull C -gt CO2 and CH42 4

2nd generation Resource management

bull Regional nutrient flows -gt integrated P management

bull Regional and global metal flows and stocks (Graedel)

PH Brunner 2024CTCI at NTU October 5 2009

bull Regional and global metal flows and stocks (Graedel)

-gt future metal management

21

Copper management based on MFA

11000 11500 3800

54011000

300000+7700

productscathodiccopper

Cu scrap III

680

Cu scrap II

waste

lOre

useWaste

management

54

1400Cu scrap I

11000 11500copper

production

2Copper

manufacturing

3

580000-11000

85000+3100

1700

Waste to landfill

1200waste

150slagOre

1 6Lithosphere landfill

flows 1000 tastocks 1000 t

PH Brunner 2124CTCI at NTU October 5 2009

source Graedel et al 2002 and Rechberger

World 1994rdquo

22

Application of MFA for governance in waste management

Goal improve waste management practice

step 1 professional MFA standard OumlWAV guideline (consensus)

step 2 Austrian Standard ONORM S 2096 ldquoMFA- Application in

waste managementrdquo

step 3 easy to use software STAN (freeware) for MFA in wm

step 4 mandatory MFA requirement for certified MSW companies

step 5 routine waste analysis by MFA on selected MSW incinerators

step 6 Link all relevant information for a new knowledge base (eg

PH Brunner 2224CTCI at NTU October 5 2009

for national waste management plan)

23

Conclusions

Objective - sustainable resource use

long term en ironmental protection- long-term environmental protection

MFA is instrumental for this objective because

bull it is a rigid transparent and objectiv method to model andvisualize material flows including uncertainty

bull It facilitates understanding and public acceptance of decisions

bull It is a key decision support tool for resource management environmental management and waste management

bull It is indispensable to establish knowledge bases for em rm andwm

PH Brunner 2324CTCI at NTU October 5 2009

wm

bull It needs to be standardized in order to fully exploit its potential

24

ThankThank youyou

PH Brunner 2424CTCI at NTU October 5 2009

5

Most simple case of MFA 1-process system

systems boundary

A

B

C

systems boundary

ProcessA C

D

s + s

PH Brunner 524CTCI at NTU October 5 2009

6

atmosphere

flow = 230 ta export = 170 ta

meat milk eggsphosphorous [ta]

stock 10000 + 70 ta

10-process system bdquoregional phosphorous flows and stocksldquo

agr soil

plantcultivation

fertilicer

animal feedstockanimals

meat milk eggs

cerealsvegetables fruits

10 000+68

30

24

85

3

13

45 100109

17

78

phosphorous [ta]

wwtplandfill

surface waterriver

food

surface water

74

13

19

17

38

28

PH Brunner 624CTCI at NTU October 5 2009

industryprivate hh

industrial products

sewer

cleaners foodgt4017 17 21

gt61

38

7

Procedure to establish MFA

Problem definition

Selection ofsubstances

Determination of system boundaries

Selection ofprocesses

Selection of goods

Adjustment

System definition

m Determination ofDetermination offl d t k w

s erm

ine g

oo

ds

em

Ad

just

sys

tem Determination of

mass flows

Balancing of goods

Determination ofconcentrations

flows and stocks

Refi

ne

ntr

ati

on

s

2

Refi

ne

mass

flo

ws

1

Refi

ne

mass

flo

w

2

Red

ete

Red

efi

ne

pro

ble

PH Brunner 724CTCI at NTU October 5 2009

Interpretation and illustration

Balancingof substances 1

R

con

ce

8

STAN freeware to support MFA including uncertainty

STAN

httpwwwiwatuwienacatiwa226_englishstanhtml

composting plantmfa

PH Brunner 824CTCI at NTU October 5 2009

9

STAN allows modelling more complexe systems such as wm

PH Brunner 924CTCI at NTU October 5 2009

10

Scale from human to hellip

700

0

respirationtranspiration mass [kgca]

phosphorus [gca]

50100

450

270

humanbody

1700

390

food

0

feces

urine

270

400

20

sewage

PH Brunner 1024CTCI at NTU October 5 2009

11

Scale from human to household to hellip

7000

respirationtranspiration mass [kgca]

phosphorus [gca]

50100

450

270

humanbody

1700

430 kitchen

food

0

feces

urine

270

total foodwastes toseweringsystem

10040

40020

900

390

garbage sewage

to STP

PH Brunner 1124CTCI at NTU October 5 2009

40

to MSWtreatment

to STPsystems boundaries phh 1year

12

Scale from human to household to regional tohellip

atmosphere

flow = 230 ta export = 170 ta

meat milk eggsphosphorous [ta]

stock 10000 + 70 ta

agr soil

plantcultivation

fertilicer

animal feedstockanimals

meat milk eggs

cerealsvegetables fruits

10 000+68

30

24

85

3

13

45 100109

17

78

phosphorous [ta]

wwtplandfill

surface waterriver

food

surface water

74

13

19

17

38

28

PH Brunner 1224CTCI at NTU October 5 2009

industryprivate hh

industrial products

sewer

cleaners foodgt4017 17 21

gt61

38

13

Scale from human to household to regional to national tohellip

[kgca]

5 1 04agriculturefood

processingprivate

household

systems boundaries region1year

4 06 04

agricultural lossesand wastes

food processingwastes

sewage and MSW

PH Brunner 1324CTCI at NTU October 5 2009

14

Contribution of various sectors to the nu-trients in the river Danube watershed

Scale from human to household to regional to national to watershedhellip

Nitrogen825 kta

Ismail

Tirgu Mures

Kosice

Klagenfurt

Insbruck

Gyor

Szombathely

Cluj-Napoca

BrasovGalat

Iasi

Tchernovte

Miskolc

Debrecen

Oradea

Arad

Szeged

Pecs

Zagreb

Ljubljana

Bratislava

Brno

Linz

Regensburg

Augsburg

Munchen

Szekesfehervar

Graz

Salzburg

Budapest

Wien

Praha

Trnava

Nitra

Trencin

Prievidza Banska Bystrica

Zilina

Martin

Prasov

Levice

PiestanyTopolcany

Povazska BystricaLiptovsky Mikulas

Zvolen

Spisska Nova Ves

Bardejov

Humenne

Michalovce

Komarno

u61

u62

u59

u48

u58

u57

u56

u55

u47

u46

u45 u71

u54

u53

u52

u44 u50

u49 u65

u70

u69

u66

u67

u64BeregovoVinogradov

Vilok

Khust

Irshava

MezhgorieSvalyava

VishkovoTyachev

Chop

Solotvina VBychkov

Rakhov

Dybovoe

Kolomia

Yaremcha

Kosov

Snyatin

Storozhinets

Mukachevo

Uzhgorod

CM4

CM7

CM43

CM30

CM36CM38

CM34CM18

CM29

CM31CM22

CM35

CM9

CM26

CM23

CM2

CM5

CM0

CM17

CM28

CM33

CM32

CM8 CM25

CM14CM11

CM23CM46

CM21CM45

CM40

CM44CM13CM42CM27CM39

CM6CM41

CM19

CM15CM20

CM10

CM3

CS3545

CS3639CS1132

CS1133

CS1134CS1171

CS3670

CS1169

CS1135

CS1174

CS1139

CS1140CS1195

CS1188

CS1187

CS1186

CS1194CM1191

CS3742 CS1181

CS1179

CS1184

CS1176

Kranj

Maribor

Celje

Jesenice

Skofja LokaDomzale Trbovlje

Velenje

Novo Mesto

Ptuj

Murska Sobota

S1

S2

S3

S4S5S6

S7

S8

S9 S10

S11 S12

S13

m1

m2

m3m4

m5

m6

m7

m8

m9

m10

m11

m12

m13

m14

m15

Bziceni

Ocnita

Edinet

Geodeni

Falesti

Ungheni

Nisporeni

Carpineni

Leova

Comrat

Congaz

Ciadiz-Lunga

Taraclia

Vulcanesti

Cahul

BenderTiraspol

Belti

Kishinev

A326A323

A322

A324

A321

A522

A521

A721

A723

A724

A621

A821A923

A924

A1024

A921A922A1023

A1025

A1026

A1021

A1121

A1022A1031A1029

A1028A1027

A1030

A1032A1221

A1321

A1428

A1414A1427

A1424A1422

A1421

A1426A1425

A1528A1524A1526

A1527A1525

A1523

A1522

A1521

A422

A423

A722

A421

A1222

A73100007

A73200417A73200617

A73300407

A75000987

A40502037

A40502017

A4041017

A54110127A5411057

A54110017

A51210147A73390966

A40607017

A40607027

A40709117

A40709077

A40709067

A40709047

A40709037

A40709027

A40710027A40710017

A40907037

A40814047 A30900057

A30900047

A30900027

A30900017

A92001017

A31000017A31000027

A31100047

A31100057

A31100037

A31200037

A10000077

A10000027

A10000107A10000097

A10000087

A61400147A61400137

A61400127

A61400117

A61400107

A61400087A61400157

A21560297A21500087A21551267

A21551257

A21500057A21530157

A21500047

A21500027

A21510107A71560907

BUDAPEST1

BUDAPEST2

BUDAPEST3

DEBRECEN

MISKOLC

SZEGED

PECS

GYOR

NYIREGYHAZA1NYIREGYHAZA2

SZEKESFEHERVAR

KECSKEM ET

SZOMBATHELYSZOLNOK

TATABANYA

KAPOSVAR

BEKESCSABA

VESZPREM

ZALAEGERSZEG

EGER

DUNAUJVAROS

SOPRON

NAGYKANIZSA HODMEZOVASARHELY

ERD

SALGOTARJAN

OZD

BAJA

CEGLED

SZEKSZARD

KAZINCBARCIKA

GYONGYOS

PAPA

VAC

GYULA

AJKA

KISKUNFELEGYHAZASZENTES

HAJDUBOSZORM ENY

MOSONMAGYAROVAR1MOSONMAGYAROVAR2

GODOLLO

JASZBERENY

ESZTERGOM

KOMLO

OROSHAZA

DUNAKESZI

NAGYKOROS

VARPALOTA

MAKO

TATA HATVAN

TOROKSZENTMIKLOS

HAJDUSZOBOSZLO

KARCAG

BEKES

BUDAORSOROSZLANY

SZENTENDRE

SZIGETSZENTMIKLOS

DOMBOVAR

MOHACS

KOMAROM

PAKS

MEZOTUR

CSONGRAD

HAJDUNANAS

MONOR

TAPOLCA

GYAL

SZARVAS

MATESZALKA

BALMAZUJVAROS

BALASSAGYARMAT

SATORALJAUJHELY

TISZAUJVAROS

KALOCSA

VECSES

KISVARDA

MEZOKOVESD

SZAZHALOMBATTA BERETTYOUJFALU

GYOMAENDROD

SARVAR

ABONY

BATONYTERENYE

DUNAHARASZTI

DABAS

SAROSPATAK

BONYHAD

MOR

FOT TISZAFURED

TISZAVASVARI

GOD

SAJOSZENTPETER

SARBOGARD

NYIRBATOR

PUSPOKLADANY

DOROG

KISUJSZALLAS

POMAZ

KORMEND

HAJDUHADHAZ

MARCALI

NAGYATAD

BARCS

GYOMRO

TOLNA

NAGYKATA

CELLDOMOLK

PILISVOROSVAR

KOSZEG

TISZAKECSKE

BUDAKESZI

HEVES

TISZAFOLDVAR

MEZOBERENY

BICSKE

SZIGETVAR

PECEL

SARKAD

LAJOSMIZSE

KAPUVARCSORNA

ALBERTIRSA

SIKLOS

PASZTO

TURKEVE

SZERENCS

KUNSZENTMARTON

EDELENY

UJFEHERTO

SZIGETHALOM

SZEGHALOM

BUDAPEST CANNING-BREWERYBUDAPESTPAPER

TISZAUJVAROS CHEMICAL

KAZINCBARCIKA CHEMICAL

DUNAUJVAROS PAPERDUNAUJVAROS METALLURGICAL

ALMASFUZITO CHEMICALLABATLAN PAPER

MARCALI LEATHER

BALATONFUZFO CHEMICAL

PET CHEMICAL

PECS LEATHER

01FF01

01FF0201FF07 01FF04

02FF51

02FF02

02FF32

03FF06

03FF05

03FF07

03FF01

01FF13

01FF11

01FF22

01FF12

02FF17

02FF03

06FF27

04FF11

04FF14

02FF12

01FF62

01FF40

01FF38

06FF23

07FF01

07FF04

07FF05

08FF02

08FF04

10FF02

10FF04

10FF12

10FF14

11FF11

11FF12

07FF10

07FF11

07FF29

08FF07

09FF0308FF15

10FF22

11FF63

11FF32

CID

CIC

CIBCIE

CIA

BUDAORS CHEMICAL

CM12CM47

PECS LEATHER

A711A713A712

A311

A411

A1111

A1112

A1012

A1413A1411

A1414

A1412

A1416

A1311

A1313

A1312

A913

A912

A612

A611 A911

BUDAORS CHEMICAL

PET CHEMICAL

BALATONFUZFO CHEMICAL

MARCALI LEATHER

DUNAUJVAROS PAPER

CIECIB

CIA

CID

CIC

TISZAUJVAROS CHEMICAL

KAZINCBARCIKA CHEMICAL

agriculture

WWTP

others

others s a

Novi Sad

Osijek

Nis

Rijeka

Split

Constanca

Varna

Craiova

Ploesti

Braila

Sarajevo

Sofia

Bucuresti

Beograd

BM3

BM9

BM1

BM4

BM8

BM25

BM5BM2

BM38

BM16

BM35

BM36

BM37

BM22BM23

BM15

BM19

BM10

BM14

BM18

BM21

BM12

BM24

BM11BM17

BM28

BM26 BM29

BM32

BM31

BM27

BM33

BM13

BM34

BI1

BI2

BI3

BI4

BI5

BI9

BS334 BS147

BS336

BS17

BS335

BS337

BS175BS18

BS342

BS346

BS345

BS344

BS178

BS339

BS27

BS348

BS32

BS197

BS37

BS30

BS191BS29

BS190BS28

BS189

BS25

BS355

BS40

BS39

BS201

BS33

BS352

BS198BS194

BS199

BS198

BS45

BS206

BS44

BS43

BS42

BS205BS206

BS51

BS360BS358

BS53

BSBS4

BS220BS270

BS49BS216

BS210

BS209

BS208

BS234

BS232BS364

BS363

BS56

BS230231BS229

BS55BS228

BS361

BS182

BS347

05FF18

BI4

BI1

BI3

BI2

BI5

BI9

Phosphorus105 kta

agricultureWWTP

others

PH Brunner 1424CTCI at NTU October 5 2009

A direct and indirect inputs of animal waste productsB erosion and leachingC direct flows from private households and industryD diffuse inputs from forestry (erosion percolation)

15

MFA for environmental protection and resources management

1st generation MFA Environmental protection

bull DDT

bull CFCs

bull PCBs NP etc

bull C -gt CO2 and CH42 4

PH Brunner 1524CTCI at NTU October 5 2009

16

MFA for greenhouse gas emission assessment

CO2 from hellip sources

fossil biogenic

f ilbiogenic

Energy from hellip sources

PH Brunner 1624CTCI at NTU October 5 2009

fossil

17

Concept of Balance Method

Material data of waste inputBiogenic matter C H O N S Cl

Fossil matter C H O N S Cl

800

Fossil matter C H O N S Cl

Balance equations

mI

c m + c m

mB + mF + mI + mw

= awaste

= 1

mI

c m + c m

mB + mF + mI + mw

= awaste

= 1

0

200

400

600

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

kg CO2 foss t waste

Revision of plant

cB mB + cF mF

HVB mB + HVF mF -245mW

dO2-CO2 mB + dO2-CO2 mF

= cwaste

= HVwaste

= dO2-CO2waste

O2CB mB + O2

CF mF = O2

Cwaste

cB mB + cF mF

HVB mB + HVF mF -245mW

dO2-CO2 mB + dO2-CO2 mF

= cwaste

= HVwaste

= dO2-CO2waste

O2CB mB + O2

CF mF = O2

Cwaste

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

30

40

50

60

70

80

90

100

o o

f energ

y fr

om

enic

sourc

es [

]

Line 1

Line 2

30

40

50

60

70

80

90

100

o o

f energ

y fr

om

enic

sourc

es [

]

Line 1

Line 2

PH Brunner 1724CTCI at NTU October 5 2009

Operating data from WTE plantWaste input flue gas volume

CO2 O2 steam production0

10

20

30

010707 010807 010907 011007

Rati

obio

ge

0

10

20

30

010707 010807 010907 011007

Rati

obio

ge

18

Balance Equation

mB + mF + mI + mw = 1Mass balance

mI

cB mB + cF mF

HV HV 2 45

= awaste

= cwaste

ldquoAshrdquo-balance

Carbon-balance

HVB mB + HVF mF -245mW

dO2-CO2 mB + dO2-CO2 mF

= HVwaste

= dO CO t

Energy-balance

Difference of d

O2-consumption O2CB mB + O2

CF mF = O2

Cwaste

PH Brunner 1824CTCI at NTU October 5 2009

dO2-CO2 B dO2-CO2 F = dO2-CO2wasteO2-cons +CO2-prod

Derived from operating dataCoefficients (given by the chemical composition of

biogenic and fossil matter)

19

Results (annual values)

CO2 - Emissions Fraction of fossil CO2 emissions []CO2 Emissions

819 plusmn39727 plusmn31

60 000

80000

100000

ssio

ns

sye

ar]

40

50

60

702 []

Radiocarbon methodBalance method

0

20000

40000

60000

CO

2-E

mi

[kilo

ton

s

bi i f il

529 471

0

10

20

30

PH Brunner 1924CTCI at NTU October 5 2009Johann Fellner

biogenic fossil

20

MFA for environmental protection and resources management

1st generation MFA Environmental protection

bull DDT

bull CFCs

bull PCBs NP etc

bull C -gt CO2 and CH42 4

2nd generation Resource management

bull Regional nutrient flows -gt integrated P management

bull Regional and global metal flows and stocks (Graedel)

PH Brunner 2024CTCI at NTU October 5 2009

bull Regional and global metal flows and stocks (Graedel)

-gt future metal management

21

Copper management based on MFA

11000 11500 3800

54011000

300000+7700

productscathodiccopper

Cu scrap III

680

Cu scrap II

waste

lOre

useWaste

management

54

1400Cu scrap I

11000 11500copper

production

2Copper

manufacturing

3

580000-11000

85000+3100

1700

Waste to landfill

1200waste

150slagOre

1 6Lithosphere landfill

flows 1000 tastocks 1000 t

PH Brunner 2124CTCI at NTU October 5 2009

source Graedel et al 2002 and Rechberger

World 1994rdquo

22

Application of MFA for governance in waste management

Goal improve waste management practice

step 1 professional MFA standard OumlWAV guideline (consensus)

step 2 Austrian Standard ONORM S 2096 ldquoMFA- Application in

waste managementrdquo

step 3 easy to use software STAN (freeware) for MFA in wm

step 4 mandatory MFA requirement for certified MSW companies

step 5 routine waste analysis by MFA on selected MSW incinerators

step 6 Link all relevant information for a new knowledge base (eg

PH Brunner 2224CTCI at NTU October 5 2009

for national waste management plan)

23

Conclusions

Objective - sustainable resource use

long term en ironmental protection- long-term environmental protection

MFA is instrumental for this objective because

bull it is a rigid transparent and objectiv method to model andvisualize material flows including uncertainty

bull It facilitates understanding and public acceptance of decisions

bull It is a key decision support tool for resource management environmental management and waste management

bull It is indispensable to establish knowledge bases for em rm andwm

PH Brunner 2324CTCI at NTU October 5 2009

wm

bull It needs to be standardized in order to fully exploit its potential

24

ThankThank youyou

PH Brunner 2424CTCI at NTU October 5 2009

6

atmosphere

flow = 230 ta export = 170 ta

meat milk eggsphosphorous [ta]

stock 10000 + 70 ta

10-process system bdquoregional phosphorous flows and stocksldquo

agr soil

plantcultivation

fertilicer

animal feedstockanimals

meat milk eggs

cerealsvegetables fruits

10 000+68

30

24

85

3

13

45 100109

17

78

phosphorous [ta]

wwtplandfill

surface waterriver

food

surface water

74

13

19

17

38

28

PH Brunner 624CTCI at NTU October 5 2009

industryprivate hh

industrial products

sewer

cleaners foodgt4017 17 21

gt61

38

7

Procedure to establish MFA

Problem definition

Selection ofsubstances

Determination of system boundaries

Selection ofprocesses

Selection of goods

Adjustment

System definition

m Determination ofDetermination offl d t k w

s erm

ine g

oo

ds

em

Ad

just

sys

tem Determination of

mass flows

Balancing of goods

Determination ofconcentrations

flows and stocks

Refi

ne

ntr

ati

on

s

2

Refi

ne

mass

flo

ws

1

Refi

ne

mass

flo

w

2

Red

ete

Red

efi

ne

pro

ble

PH Brunner 724CTCI at NTU October 5 2009

Interpretation and illustration

Balancingof substances 1

R

con

ce

8

STAN freeware to support MFA including uncertainty

STAN

httpwwwiwatuwienacatiwa226_englishstanhtml

composting plantmfa

PH Brunner 824CTCI at NTU October 5 2009

9

STAN allows modelling more complexe systems such as wm

PH Brunner 924CTCI at NTU October 5 2009

10

Scale from human to hellip

700

0

respirationtranspiration mass [kgca]

phosphorus [gca]

50100

450

270

humanbody

1700

390

food

0

feces

urine

270

400

20

sewage

PH Brunner 1024CTCI at NTU October 5 2009

11

Scale from human to household to hellip

7000

respirationtranspiration mass [kgca]

phosphorus [gca]

50100

450

270

humanbody

1700

430 kitchen

food

0

feces

urine

270

total foodwastes toseweringsystem

10040

40020

900

390

garbage sewage

to STP

PH Brunner 1124CTCI at NTU October 5 2009

40

to MSWtreatment

to STPsystems boundaries phh 1year

12

Scale from human to household to regional tohellip

atmosphere

flow = 230 ta export = 170 ta

meat milk eggsphosphorous [ta]

stock 10000 + 70 ta

agr soil

plantcultivation

fertilicer

animal feedstockanimals

meat milk eggs

cerealsvegetables fruits

10 000+68

30

24

85

3

13

45 100109

17

78

phosphorous [ta]

wwtplandfill

surface waterriver

food

surface water

74

13

19

17

38

28

PH Brunner 1224CTCI at NTU October 5 2009

industryprivate hh

industrial products

sewer

cleaners foodgt4017 17 21

gt61

38

13

Scale from human to household to regional to national tohellip

[kgca]

5 1 04agriculturefood

processingprivate

household

systems boundaries region1year

4 06 04

agricultural lossesand wastes

food processingwastes

sewage and MSW

PH Brunner 1324CTCI at NTU October 5 2009

14

Contribution of various sectors to the nu-trients in the river Danube watershed

Scale from human to household to regional to national to watershedhellip

Nitrogen825 kta

Ismail

Tirgu Mures

Kosice

Klagenfurt

Insbruck

Gyor

Szombathely

Cluj-Napoca

BrasovGalat

Iasi

Tchernovte

Miskolc

Debrecen

Oradea

Arad

Szeged

Pecs

Zagreb

Ljubljana

Bratislava

Brno

Linz

Regensburg

Augsburg

Munchen

Szekesfehervar

Graz

Salzburg

Budapest

Wien

Praha

Trnava

Nitra

Trencin

Prievidza Banska Bystrica

Zilina

Martin

Prasov

Levice

PiestanyTopolcany

Povazska BystricaLiptovsky Mikulas

Zvolen

Spisska Nova Ves

Bardejov

Humenne

Michalovce

Komarno

u61

u62

u59

u48

u58

u57

u56

u55

u47

u46

u45 u71

u54

u53

u52

u44 u50

u49 u65

u70

u69

u66

u67

u64BeregovoVinogradov

Vilok

Khust

Irshava

MezhgorieSvalyava

VishkovoTyachev

Chop

Solotvina VBychkov

Rakhov

Dybovoe

Kolomia

Yaremcha

Kosov

Snyatin

Storozhinets

Mukachevo

Uzhgorod

CM4

CM7

CM43

CM30

CM36CM38

CM34CM18

CM29

CM31CM22

CM35

CM9

CM26

CM23

CM2

CM5

CM0

CM17

CM28

CM33

CM32

CM8 CM25

CM14CM11

CM23CM46

CM21CM45

CM40

CM44CM13CM42CM27CM39

CM6CM41

CM19

CM15CM20

CM10

CM3

CS3545

CS3639CS1132

CS1133

CS1134CS1171

CS3670

CS1169

CS1135

CS1174

CS1139

CS1140CS1195

CS1188

CS1187

CS1186

CS1194CM1191

CS3742 CS1181

CS1179

CS1184

CS1176

Kranj

Maribor

Celje

Jesenice

Skofja LokaDomzale Trbovlje

Velenje

Novo Mesto

Ptuj

Murska Sobota

S1

S2

S3

S4S5S6

S7

S8

S9 S10

S11 S12

S13

m1

m2

m3m4

m5

m6

m7

m8

m9

m10

m11

m12

m13

m14

m15

Bziceni

Ocnita

Edinet

Geodeni

Falesti

Ungheni

Nisporeni

Carpineni

Leova

Comrat

Congaz

Ciadiz-Lunga

Taraclia

Vulcanesti

Cahul

BenderTiraspol

Belti

Kishinev

A326A323

A322

A324

A321

A522

A521

A721

A723

A724

A621

A821A923

A924

A1024

A921A922A1023

A1025

A1026

A1021

A1121

A1022A1031A1029

A1028A1027

A1030

A1032A1221

A1321

A1428

A1414A1427

A1424A1422

A1421

A1426A1425

A1528A1524A1526

A1527A1525

A1523

A1522

A1521

A422

A423

A722

A421

A1222

A73100007

A73200417A73200617

A73300407

A75000987

A40502037

A40502017

A4041017

A54110127A5411057

A54110017

A51210147A73390966

A40607017

A40607027

A40709117

A40709077

A40709067

A40709047

A40709037

A40709027

A40710027A40710017

A40907037

A40814047 A30900057

A30900047

A30900027

A30900017

A92001017

A31000017A31000027

A31100047

A31100057

A31100037

A31200037

A10000077

A10000027

A10000107A10000097

A10000087

A61400147A61400137

A61400127

A61400117

A61400107

A61400087A61400157

A21560297A21500087A21551267

A21551257

A21500057A21530157

A21500047

A21500027

A21510107A71560907

BUDAPEST1

BUDAPEST2

BUDAPEST3

DEBRECEN

MISKOLC

SZEGED

PECS

GYOR

NYIREGYHAZA1NYIREGYHAZA2

SZEKESFEHERVAR

KECSKEM ET

SZOMBATHELYSZOLNOK

TATABANYA

KAPOSVAR

BEKESCSABA

VESZPREM

ZALAEGERSZEG

EGER

DUNAUJVAROS

SOPRON

NAGYKANIZSA HODMEZOVASARHELY

ERD

SALGOTARJAN

OZD

BAJA

CEGLED

SZEKSZARD

KAZINCBARCIKA

GYONGYOS

PAPA

VAC

GYULA

AJKA

KISKUNFELEGYHAZASZENTES

HAJDUBOSZORM ENY

MOSONMAGYAROVAR1MOSONMAGYAROVAR2

GODOLLO

JASZBERENY

ESZTERGOM

KOMLO

OROSHAZA

DUNAKESZI

NAGYKOROS

VARPALOTA

MAKO

TATA HATVAN

TOROKSZENTMIKLOS

HAJDUSZOBOSZLO

KARCAG

BEKES

BUDAORSOROSZLANY

SZENTENDRE

SZIGETSZENTMIKLOS

DOMBOVAR

MOHACS

KOMAROM

PAKS

MEZOTUR

CSONGRAD

HAJDUNANAS

MONOR

TAPOLCA

GYAL

SZARVAS

MATESZALKA

BALMAZUJVAROS

BALASSAGYARMAT

SATORALJAUJHELY

TISZAUJVAROS

KALOCSA

VECSES

KISVARDA

MEZOKOVESD

SZAZHALOMBATTA BERETTYOUJFALU

GYOMAENDROD

SARVAR

ABONY

BATONYTERENYE

DUNAHARASZTI

DABAS

SAROSPATAK

BONYHAD

MOR

FOT TISZAFURED

TISZAVASVARI

GOD

SAJOSZENTPETER

SARBOGARD

NYIRBATOR

PUSPOKLADANY

DOROG

KISUJSZALLAS

POMAZ

KORMEND

HAJDUHADHAZ

MARCALI

NAGYATAD

BARCS

GYOMRO

TOLNA

NAGYKATA

CELLDOMOLK

PILISVOROSVAR

KOSZEG

TISZAKECSKE

BUDAKESZI

HEVES

TISZAFOLDVAR

MEZOBERENY

BICSKE

SZIGETVAR

PECEL

SARKAD

LAJOSMIZSE

KAPUVARCSORNA

ALBERTIRSA

SIKLOS

PASZTO

TURKEVE

SZERENCS

KUNSZENTMARTON

EDELENY

UJFEHERTO

SZIGETHALOM

SZEGHALOM

BUDAPEST CANNING-BREWERYBUDAPESTPAPER

TISZAUJVAROS CHEMICAL

KAZINCBARCIKA CHEMICAL

DUNAUJVAROS PAPERDUNAUJVAROS METALLURGICAL

ALMASFUZITO CHEMICALLABATLAN PAPER

MARCALI LEATHER

BALATONFUZFO CHEMICAL

PET CHEMICAL

PECS LEATHER

01FF01

01FF0201FF07 01FF04

02FF51

02FF02

02FF32

03FF06

03FF05

03FF07

03FF01

01FF13

01FF11

01FF22

01FF12

02FF17

02FF03

06FF27

04FF11

04FF14

02FF12

01FF62

01FF40

01FF38

06FF23

07FF01

07FF04

07FF05

08FF02

08FF04

10FF02

10FF04

10FF12

10FF14

11FF11

11FF12

07FF10

07FF11

07FF29

08FF07

09FF0308FF15

10FF22

11FF63

11FF32

CID

CIC

CIBCIE

CIA

BUDAORS CHEMICAL

CM12CM47

PECS LEATHER

A711A713A712

A311

A411

A1111

A1112

A1012

A1413A1411

A1414

A1412

A1416

A1311

A1313

A1312

A913

A912

A612

A611 A911

BUDAORS CHEMICAL

PET CHEMICAL

BALATONFUZFO CHEMICAL

MARCALI LEATHER

DUNAUJVAROS PAPER

CIECIB

CIA

CID

CIC

TISZAUJVAROS CHEMICAL

KAZINCBARCIKA CHEMICAL

agriculture

WWTP

others

others s a

Novi Sad

Osijek

Nis

Rijeka

Split

Constanca

Varna

Craiova

Ploesti

Braila

Sarajevo

Sofia

Bucuresti

Beograd

BM3

BM9

BM1

BM4

BM8

BM25

BM5BM2

BM38

BM16

BM35

BM36

BM37

BM22BM23

BM15

BM19

BM10

BM14

BM18

BM21

BM12

BM24

BM11BM17

BM28

BM26 BM29

BM32

BM31

BM27

BM33

BM13

BM34

BI1

BI2

BI3

BI4

BI5

BI9

BS334 BS147

BS336

BS17

BS335

BS337

BS175BS18

BS342

BS346

BS345

BS344

BS178

BS339

BS27

BS348

BS32

BS197

BS37

BS30

BS191BS29

BS190BS28

BS189

BS25

BS355

BS40

BS39

BS201

BS33

BS352

BS198BS194

BS199

BS198

BS45

BS206

BS44

BS43

BS42

BS205BS206

BS51

BS360BS358

BS53

BSBS4

BS220BS270

BS49BS216

BS210

BS209

BS208

BS234

BS232BS364

BS363

BS56

BS230231BS229

BS55BS228

BS361

BS182

BS347

05FF18

BI4

BI1

BI3

BI2

BI5

BI9

Phosphorus105 kta

agricultureWWTP

others

PH Brunner 1424CTCI at NTU October 5 2009

A direct and indirect inputs of animal waste productsB erosion and leachingC direct flows from private households and industryD diffuse inputs from forestry (erosion percolation)

15

MFA for environmental protection and resources management

1st generation MFA Environmental protection

bull DDT

bull CFCs

bull PCBs NP etc

bull C -gt CO2 and CH42 4

PH Brunner 1524CTCI at NTU October 5 2009

16

MFA for greenhouse gas emission assessment

CO2 from hellip sources

fossil biogenic

f ilbiogenic

Energy from hellip sources

PH Brunner 1624CTCI at NTU October 5 2009

fossil

17

Concept of Balance Method

Material data of waste inputBiogenic matter C H O N S Cl

Fossil matter C H O N S Cl

800

Fossil matter C H O N S Cl

Balance equations

mI

c m + c m

mB + mF + mI + mw

= awaste

= 1

mI

c m + c m

mB + mF + mI + mw

= awaste

= 1

0

200

400

600

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

kg CO2 foss t waste

Revision of plant

cB mB + cF mF

HVB mB + HVF mF -245mW

dO2-CO2 mB + dO2-CO2 mF

= cwaste

= HVwaste

= dO2-CO2waste

O2CB mB + O2

CF mF = O2

Cwaste

cB mB + cF mF

HVB mB + HVF mF -245mW

dO2-CO2 mB + dO2-CO2 mF

= cwaste

= HVwaste

= dO2-CO2waste

O2CB mB + O2

CF mF = O2

Cwaste

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

30

40

50

60

70

80

90

100

o o

f energ

y fr

om

enic

sourc

es [

]

Line 1

Line 2

30

40

50

60

70

80

90

100

o o

f energ

y fr

om

enic

sourc

es [

]

Line 1

Line 2

PH Brunner 1724CTCI at NTU October 5 2009

Operating data from WTE plantWaste input flue gas volume

CO2 O2 steam production0

10

20

30

010707 010807 010907 011007

Rati

obio

ge

0

10

20

30

010707 010807 010907 011007

Rati

obio

ge

18

Balance Equation

mB + mF + mI + mw = 1Mass balance

mI

cB mB + cF mF

HV HV 2 45

= awaste

= cwaste

ldquoAshrdquo-balance

Carbon-balance

HVB mB + HVF mF -245mW

dO2-CO2 mB + dO2-CO2 mF

= HVwaste

= dO CO t

Energy-balance

Difference of d

O2-consumption O2CB mB + O2

CF mF = O2

Cwaste

PH Brunner 1824CTCI at NTU October 5 2009

dO2-CO2 B dO2-CO2 F = dO2-CO2wasteO2-cons +CO2-prod

Derived from operating dataCoefficients (given by the chemical composition of

biogenic and fossil matter)

19

Results (annual values)

CO2 - Emissions Fraction of fossil CO2 emissions []CO2 Emissions

819 plusmn39727 plusmn31

60 000

80000

100000

ssio

ns

sye

ar]

40

50

60

702 []

Radiocarbon methodBalance method

0

20000

40000

60000

CO

2-E

mi

[kilo

ton

s

bi i f il

529 471

0

10

20

30

PH Brunner 1924CTCI at NTU October 5 2009Johann Fellner

biogenic fossil

20

MFA for environmental protection and resources management

1st generation MFA Environmental protection

bull DDT

bull CFCs

bull PCBs NP etc

bull C -gt CO2 and CH42 4

2nd generation Resource management

bull Regional nutrient flows -gt integrated P management

bull Regional and global metal flows and stocks (Graedel)

PH Brunner 2024CTCI at NTU October 5 2009

bull Regional and global metal flows and stocks (Graedel)

-gt future metal management

21

Copper management based on MFA

11000 11500 3800

54011000

300000+7700

productscathodiccopper

Cu scrap III

680

Cu scrap II

waste

lOre

useWaste

management

54

1400Cu scrap I

11000 11500copper

production

2Copper

manufacturing

3

580000-11000

85000+3100

1700

Waste to landfill

1200waste

150slagOre

1 6Lithosphere landfill

flows 1000 tastocks 1000 t

PH Brunner 2124CTCI at NTU October 5 2009

source Graedel et al 2002 and Rechberger

World 1994rdquo

22

Application of MFA for governance in waste management

Goal improve waste management practice

step 1 professional MFA standard OumlWAV guideline (consensus)

step 2 Austrian Standard ONORM S 2096 ldquoMFA- Application in

waste managementrdquo

step 3 easy to use software STAN (freeware) for MFA in wm

step 4 mandatory MFA requirement for certified MSW companies

step 5 routine waste analysis by MFA on selected MSW incinerators

step 6 Link all relevant information for a new knowledge base (eg

PH Brunner 2224CTCI at NTU October 5 2009

for national waste management plan)

23

Conclusions

Objective - sustainable resource use

long term en ironmental protection- long-term environmental protection

MFA is instrumental for this objective because

bull it is a rigid transparent and objectiv method to model andvisualize material flows including uncertainty

bull It facilitates understanding and public acceptance of decisions

bull It is a key decision support tool for resource management environmental management and waste management

bull It is indispensable to establish knowledge bases for em rm andwm

PH Brunner 2324CTCI at NTU October 5 2009

wm

bull It needs to be standardized in order to fully exploit its potential

24

ThankThank youyou

PH Brunner 2424CTCI at NTU October 5 2009

7

Procedure to establish MFA

Problem definition

Selection ofsubstances

Determination of system boundaries

Selection ofprocesses

Selection of goods

Adjustment

System definition

m Determination ofDetermination offl d t k w

s erm

ine g

oo

ds

em

Ad

just

sys

tem Determination of

mass flows

Balancing of goods

Determination ofconcentrations

flows and stocks

Refi

ne

ntr

ati

on

s

2

Refi

ne

mass

flo

ws

1

Refi

ne

mass

flo

w

2

Red

ete

Red

efi

ne

pro

ble

PH Brunner 724CTCI at NTU October 5 2009

Interpretation and illustration

Balancingof substances 1

R

con

ce

8

STAN freeware to support MFA including uncertainty

STAN

httpwwwiwatuwienacatiwa226_englishstanhtml

composting plantmfa

PH Brunner 824CTCI at NTU October 5 2009

9

STAN allows modelling more complexe systems such as wm

PH Brunner 924CTCI at NTU October 5 2009

10

Scale from human to hellip

700

0

respirationtranspiration mass [kgca]

phosphorus [gca]

50100

450

270

humanbody

1700

390

food

0

feces

urine

270

400

20

sewage

PH Brunner 1024CTCI at NTU October 5 2009

11

Scale from human to household to hellip

7000

respirationtranspiration mass [kgca]

phosphorus [gca]

50100

450

270

humanbody

1700

430 kitchen

food

0

feces

urine

270

total foodwastes toseweringsystem

10040

40020

900

390

garbage sewage

to STP

PH Brunner 1124CTCI at NTU October 5 2009

40

to MSWtreatment

to STPsystems boundaries phh 1year

12

Scale from human to household to regional tohellip

atmosphere

flow = 230 ta export = 170 ta

meat milk eggsphosphorous [ta]

stock 10000 + 70 ta

agr soil

plantcultivation

fertilicer

animal feedstockanimals

meat milk eggs

cerealsvegetables fruits

10 000+68

30

24

85

3

13

45 100109

17

78

phosphorous [ta]

wwtplandfill

surface waterriver

food

surface water

74

13

19

17

38

28

PH Brunner 1224CTCI at NTU October 5 2009

industryprivate hh

industrial products

sewer

cleaners foodgt4017 17 21

gt61

38

13

Scale from human to household to regional to national tohellip

[kgca]

5 1 04agriculturefood

processingprivate

household

systems boundaries region1year

4 06 04

agricultural lossesand wastes

food processingwastes

sewage and MSW

PH Brunner 1324CTCI at NTU October 5 2009

14

Contribution of various sectors to the nu-trients in the river Danube watershed

Scale from human to household to regional to national to watershedhellip

Nitrogen825 kta

Ismail

Tirgu Mures

Kosice

Klagenfurt

Insbruck

Gyor

Szombathely

Cluj-Napoca

BrasovGalat

Iasi

Tchernovte

Miskolc

Debrecen

Oradea

Arad

Szeged

Pecs

Zagreb

Ljubljana

Bratislava

Brno

Linz

Regensburg

Augsburg

Munchen

Szekesfehervar

Graz

Salzburg

Budapest

Wien

Praha

Trnava

Nitra

Trencin

Prievidza Banska Bystrica

Zilina

Martin

Prasov

Levice

PiestanyTopolcany

Povazska BystricaLiptovsky Mikulas

Zvolen

Spisska Nova Ves

Bardejov

Humenne

Michalovce

Komarno

u61

u62

u59

u48

u58

u57

u56

u55

u47

u46

u45 u71

u54

u53

u52

u44 u50

u49 u65

u70

u69

u66

u67

u64BeregovoVinogradov

Vilok

Khust

Irshava

MezhgorieSvalyava

VishkovoTyachev

Chop

Solotvina VBychkov

Rakhov

Dybovoe

Kolomia

Yaremcha

Kosov

Snyatin

Storozhinets

Mukachevo

Uzhgorod

CM4

CM7

CM43

CM30

CM36CM38

CM34CM18

CM29

CM31CM22

CM35

CM9

CM26

CM23

CM2

CM5

CM0

CM17

CM28

CM33

CM32

CM8 CM25

CM14CM11

CM23CM46

CM21CM45

CM40

CM44CM13CM42CM27CM39

CM6CM41

CM19

CM15CM20

CM10

CM3

CS3545

CS3639CS1132

CS1133

CS1134CS1171

CS3670

CS1169

CS1135

CS1174

CS1139

CS1140CS1195

CS1188

CS1187

CS1186

CS1194CM1191

CS3742 CS1181

CS1179

CS1184

CS1176

Kranj

Maribor

Celje

Jesenice

Skofja LokaDomzale Trbovlje

Velenje

Novo Mesto

Ptuj

Murska Sobota

S1

S2

S3

S4S5S6

S7

S8

S9 S10

S11 S12

S13

m1

m2

m3m4

m5

m6

m7

m8

m9

m10

m11

m12

m13

m14

m15

Bziceni

Ocnita

Edinet

Geodeni

Falesti

Ungheni

Nisporeni

Carpineni

Leova

Comrat

Congaz

Ciadiz-Lunga

Taraclia

Vulcanesti

Cahul

BenderTiraspol

Belti

Kishinev

A326A323

A322

A324

A321

A522

A521

A721

A723

A724

A621

A821A923

A924

A1024

A921A922A1023

A1025

A1026

A1021

A1121

A1022A1031A1029

A1028A1027

A1030

A1032A1221

A1321

A1428

A1414A1427

A1424A1422

A1421

A1426A1425

A1528A1524A1526

A1527A1525

A1523

A1522

A1521

A422

A423

A722

A421

A1222

A73100007

A73200417A73200617

A73300407

A75000987

A40502037

A40502017

A4041017

A54110127A5411057

A54110017

A51210147A73390966

A40607017

A40607027

A40709117

A40709077

A40709067

A40709047

A40709037

A40709027

A40710027A40710017

A40907037

A40814047 A30900057

A30900047

A30900027

A30900017

A92001017

A31000017A31000027

A31100047

A31100057

A31100037

A31200037

A10000077

A10000027

A10000107A10000097

A10000087

A61400147A61400137

A61400127

A61400117

A61400107

A61400087A61400157

A21560297A21500087A21551267

A21551257

A21500057A21530157

A21500047

A21500027

A21510107A71560907

BUDAPEST1

BUDAPEST2

BUDAPEST3

DEBRECEN

MISKOLC

SZEGED

PECS

GYOR

NYIREGYHAZA1NYIREGYHAZA2

SZEKESFEHERVAR

KECSKEM ET

SZOMBATHELYSZOLNOK

TATABANYA

KAPOSVAR

BEKESCSABA

VESZPREM

ZALAEGERSZEG

EGER

DUNAUJVAROS

SOPRON

NAGYKANIZSA HODMEZOVASARHELY

ERD

SALGOTARJAN

OZD

BAJA

CEGLED

SZEKSZARD

KAZINCBARCIKA

GYONGYOS

PAPA

VAC

GYULA

AJKA

KISKUNFELEGYHAZASZENTES

HAJDUBOSZORM ENY

MOSONMAGYAROVAR1MOSONMAGYAROVAR2

GODOLLO

JASZBERENY

ESZTERGOM

KOMLO

OROSHAZA

DUNAKESZI

NAGYKOROS

VARPALOTA

MAKO

TATA HATVAN

TOROKSZENTMIKLOS

HAJDUSZOBOSZLO

KARCAG

BEKES

BUDAORSOROSZLANY

SZENTENDRE

SZIGETSZENTMIKLOS

DOMBOVAR

MOHACS

KOMAROM

PAKS

MEZOTUR

CSONGRAD

HAJDUNANAS

MONOR

TAPOLCA

GYAL

SZARVAS

MATESZALKA

BALMAZUJVAROS

BALASSAGYARMAT

SATORALJAUJHELY

TISZAUJVAROS

KALOCSA

VECSES

KISVARDA

MEZOKOVESD

SZAZHALOMBATTA BERETTYOUJFALU

GYOMAENDROD

SARVAR

ABONY

BATONYTERENYE

DUNAHARASZTI

DABAS

SAROSPATAK

BONYHAD

MOR

FOT TISZAFURED

TISZAVASVARI

GOD

SAJOSZENTPETER

SARBOGARD

NYIRBATOR

PUSPOKLADANY

DOROG

KISUJSZALLAS

POMAZ

KORMEND

HAJDUHADHAZ

MARCALI

NAGYATAD

BARCS

GYOMRO

TOLNA

NAGYKATA

CELLDOMOLK

PILISVOROSVAR

KOSZEG

TISZAKECSKE

BUDAKESZI

HEVES

TISZAFOLDVAR

MEZOBERENY

BICSKE

SZIGETVAR

PECEL

SARKAD

LAJOSMIZSE

KAPUVARCSORNA

ALBERTIRSA

SIKLOS

PASZTO

TURKEVE

SZERENCS

KUNSZENTMARTON

EDELENY

UJFEHERTO

SZIGETHALOM

SZEGHALOM

BUDAPEST CANNING-BREWERYBUDAPESTPAPER

TISZAUJVAROS CHEMICAL

KAZINCBARCIKA CHEMICAL

DUNAUJVAROS PAPERDUNAUJVAROS METALLURGICAL

ALMASFUZITO CHEMICALLABATLAN PAPER

MARCALI LEATHER

BALATONFUZFO CHEMICAL

PET CHEMICAL

PECS LEATHER

01FF01

01FF0201FF07 01FF04

02FF51

02FF02

02FF32

03FF06

03FF05

03FF07

03FF01

01FF13

01FF11

01FF22

01FF12

02FF17

02FF03

06FF27

04FF11

04FF14

02FF12

01FF62

01FF40

01FF38

06FF23

07FF01

07FF04

07FF05

08FF02

08FF04

10FF02

10FF04

10FF12

10FF14

11FF11

11FF12

07FF10

07FF11

07FF29

08FF07

09FF0308FF15

10FF22

11FF63

11FF32

CID

CIC

CIBCIE

CIA

BUDAORS CHEMICAL

CM12CM47

PECS LEATHER

A711A713A712

A311

A411

A1111

A1112

A1012

A1413A1411

A1414

A1412

A1416

A1311

A1313

A1312

A913

A912

A612

A611 A911

BUDAORS CHEMICAL

PET CHEMICAL

BALATONFUZFO CHEMICAL

MARCALI LEATHER

DUNAUJVAROS PAPER

CIECIB

CIA

CID

CIC

TISZAUJVAROS CHEMICAL

KAZINCBARCIKA CHEMICAL

agriculture

WWTP

others

others s a

Novi Sad

Osijek

Nis

Rijeka

Split

Constanca

Varna

Craiova

Ploesti

Braila

Sarajevo

Sofia

Bucuresti

Beograd

BM3

BM9

BM1

BM4

BM8

BM25

BM5BM2

BM38

BM16

BM35

BM36

BM37

BM22BM23

BM15

BM19

BM10

BM14

BM18

BM21

BM12

BM24

BM11BM17

BM28

BM26 BM29

BM32

BM31

BM27

BM33

BM13

BM34

BI1

BI2

BI3

BI4

BI5

BI9

BS334 BS147

BS336

BS17

BS335

BS337

BS175BS18

BS342

BS346

BS345

BS344

BS178

BS339

BS27

BS348

BS32

BS197

BS37

BS30

BS191BS29

BS190BS28

BS189

BS25

BS355

BS40

BS39

BS201

BS33

BS352

BS198BS194

BS199

BS198

BS45

BS206

BS44

BS43

BS42

BS205BS206

BS51

BS360BS358

BS53

BSBS4

BS220BS270

BS49BS216

BS210

BS209

BS208

BS234

BS232BS364

BS363

BS56

BS230231BS229

BS55BS228

BS361

BS182

BS347

05FF18

BI4

BI1

BI3

BI2

BI5

BI9

Phosphorus105 kta

agricultureWWTP

others

PH Brunner 1424CTCI at NTU October 5 2009

A direct and indirect inputs of animal waste productsB erosion and leachingC direct flows from private households and industryD diffuse inputs from forestry (erosion percolation)

15

MFA for environmental protection and resources management

1st generation MFA Environmental protection

bull DDT

bull CFCs

bull PCBs NP etc

bull C -gt CO2 and CH42 4

PH Brunner 1524CTCI at NTU October 5 2009

16

MFA for greenhouse gas emission assessment

CO2 from hellip sources

fossil biogenic

f ilbiogenic

Energy from hellip sources

PH Brunner 1624CTCI at NTU October 5 2009

fossil

17

Concept of Balance Method

Material data of waste inputBiogenic matter C H O N S Cl

Fossil matter C H O N S Cl

800

Fossil matter C H O N S Cl

Balance equations

mI

c m + c m

mB + mF + mI + mw

= awaste

= 1

mI

c m + c m

mB + mF + mI + mw

= awaste

= 1

0

200

400

600

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

kg CO2 foss t waste

Revision of plant

cB mB + cF mF

HVB mB + HVF mF -245mW

dO2-CO2 mB + dO2-CO2 mF

= cwaste

= HVwaste

= dO2-CO2waste

O2CB mB + O2

CF mF = O2

Cwaste

cB mB + cF mF

HVB mB + HVF mF -245mW

dO2-CO2 mB + dO2-CO2 mF

= cwaste

= HVwaste

= dO2-CO2waste

O2CB mB + O2

CF mF = O2

Cwaste

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

30

40

50

60

70

80

90

100

o o

f energ

y fr

om

enic

sourc

es [

]

Line 1

Line 2

30

40

50

60

70

80

90

100

o o

f energ

y fr

om

enic

sourc

es [

]

Line 1

Line 2

PH Brunner 1724CTCI at NTU October 5 2009

Operating data from WTE plantWaste input flue gas volume

CO2 O2 steam production0

10

20

30

010707 010807 010907 011007

Rati

obio

ge

0

10

20

30

010707 010807 010907 011007

Rati

obio

ge

18

Balance Equation

mB + mF + mI + mw = 1Mass balance

mI

cB mB + cF mF

HV HV 2 45

= awaste

= cwaste

ldquoAshrdquo-balance

Carbon-balance

HVB mB + HVF mF -245mW

dO2-CO2 mB + dO2-CO2 mF

= HVwaste

= dO CO t

Energy-balance

Difference of d

O2-consumption O2CB mB + O2

CF mF = O2

Cwaste

PH Brunner 1824CTCI at NTU October 5 2009

dO2-CO2 B dO2-CO2 F = dO2-CO2wasteO2-cons +CO2-prod

Derived from operating dataCoefficients (given by the chemical composition of

biogenic and fossil matter)

19

Results (annual values)

CO2 - Emissions Fraction of fossil CO2 emissions []CO2 Emissions

819 plusmn39727 plusmn31

60 000

80000

100000

ssio

ns

sye

ar]

40

50

60

702 []

Radiocarbon methodBalance method

0

20000

40000

60000

CO

2-E

mi

[kilo

ton

s

bi i f il

529 471

0

10

20

30

PH Brunner 1924CTCI at NTU October 5 2009Johann Fellner

biogenic fossil

20

MFA for environmental protection and resources management

1st generation MFA Environmental protection

bull DDT

bull CFCs

bull PCBs NP etc

bull C -gt CO2 and CH42 4

2nd generation Resource management

bull Regional nutrient flows -gt integrated P management

bull Regional and global metal flows and stocks (Graedel)

PH Brunner 2024CTCI at NTU October 5 2009

bull Regional and global metal flows and stocks (Graedel)

-gt future metal management

21

Copper management based on MFA

11000 11500 3800

54011000

300000+7700

productscathodiccopper

Cu scrap III

680

Cu scrap II

waste

lOre

useWaste

management

54

1400Cu scrap I

11000 11500copper

production

2Copper

manufacturing

3

580000-11000

85000+3100

1700

Waste to landfill

1200waste

150slagOre

1 6Lithosphere landfill

flows 1000 tastocks 1000 t

PH Brunner 2124CTCI at NTU October 5 2009

source Graedel et al 2002 and Rechberger

World 1994rdquo

22

Application of MFA for governance in waste management

Goal improve waste management practice

step 1 professional MFA standard OumlWAV guideline (consensus)

step 2 Austrian Standard ONORM S 2096 ldquoMFA- Application in

waste managementrdquo

step 3 easy to use software STAN (freeware) for MFA in wm

step 4 mandatory MFA requirement for certified MSW companies

step 5 routine waste analysis by MFA on selected MSW incinerators

step 6 Link all relevant information for a new knowledge base (eg

PH Brunner 2224CTCI at NTU October 5 2009

for national waste management plan)

23

Conclusions

Objective - sustainable resource use

long term en ironmental protection- long-term environmental protection

MFA is instrumental for this objective because

bull it is a rigid transparent and objectiv method to model andvisualize material flows including uncertainty

bull It facilitates understanding and public acceptance of decisions

bull It is a key decision support tool for resource management environmental management and waste management

bull It is indispensable to establish knowledge bases for em rm andwm

PH Brunner 2324CTCI at NTU October 5 2009

wm

bull It needs to be standardized in order to fully exploit its potential

24

ThankThank youyou

PH Brunner 2424CTCI at NTU October 5 2009

8

STAN freeware to support MFA including uncertainty

STAN

httpwwwiwatuwienacatiwa226_englishstanhtml

composting plantmfa

PH Brunner 824CTCI at NTU October 5 2009

9

STAN allows modelling more complexe systems such as wm

PH Brunner 924CTCI at NTU October 5 2009

10

Scale from human to hellip

700

0

respirationtranspiration mass [kgca]

phosphorus [gca]

50100

450

270

humanbody

1700

390

food

0

feces

urine

270

400

20

sewage

PH Brunner 1024CTCI at NTU October 5 2009

11

Scale from human to household to hellip

7000

respirationtranspiration mass [kgca]

phosphorus [gca]

50100

450

270

humanbody

1700

430 kitchen

food

0

feces

urine

270

total foodwastes toseweringsystem

10040

40020

900

390

garbage sewage

to STP

PH Brunner 1124CTCI at NTU October 5 2009

40

to MSWtreatment

to STPsystems boundaries phh 1year

12

Scale from human to household to regional tohellip

atmosphere

flow = 230 ta export = 170 ta

meat milk eggsphosphorous [ta]

stock 10000 + 70 ta

agr soil

plantcultivation

fertilicer

animal feedstockanimals

meat milk eggs

cerealsvegetables fruits

10 000+68

30

24

85

3

13

45 100109

17

78

phosphorous [ta]

wwtplandfill

surface waterriver

food

surface water

74

13

19

17

38

28

PH Brunner 1224CTCI at NTU October 5 2009

industryprivate hh

industrial products

sewer

cleaners foodgt4017 17 21

gt61

38

13

Scale from human to household to regional to national tohellip

[kgca]

5 1 04agriculturefood

processingprivate

household

systems boundaries region1year

4 06 04

agricultural lossesand wastes

food processingwastes

sewage and MSW

PH Brunner 1324CTCI at NTU October 5 2009

14

Contribution of various sectors to the nu-trients in the river Danube watershed

Scale from human to household to regional to national to watershedhellip

Nitrogen825 kta

Ismail

Tirgu Mures

Kosice

Klagenfurt

Insbruck

Gyor

Szombathely

Cluj-Napoca

BrasovGalat

Iasi

Tchernovte

Miskolc

Debrecen

Oradea

Arad

Szeged

Pecs

Zagreb

Ljubljana

Bratislava

Brno

Linz

Regensburg

Augsburg

Munchen

Szekesfehervar

Graz

Salzburg

Budapest

Wien

Praha

Trnava

Nitra

Trencin

Prievidza Banska Bystrica

Zilina

Martin

Prasov

Levice

PiestanyTopolcany

Povazska BystricaLiptovsky Mikulas

Zvolen

Spisska Nova Ves

Bardejov

Humenne

Michalovce

Komarno

u61

u62

u59

u48

u58

u57

u56

u55

u47

u46

u45 u71

u54

u53

u52

u44 u50

u49 u65

u70

u69

u66

u67

u64BeregovoVinogradov

Vilok

Khust

Irshava

MezhgorieSvalyava

VishkovoTyachev

Chop

Solotvina VBychkov

Rakhov

Dybovoe

Kolomia

Yaremcha

Kosov

Snyatin

Storozhinets

Mukachevo

Uzhgorod

CM4

CM7

CM43

CM30

CM36CM38

CM34CM18

CM29

CM31CM22

CM35

CM9

CM26

CM23

CM2

CM5

CM0

CM17

CM28

CM33

CM32

CM8 CM25

CM14CM11

CM23CM46

CM21CM45

CM40

CM44CM13CM42CM27CM39

CM6CM41

CM19

CM15CM20

CM10

CM3

CS3545

CS3639CS1132

CS1133

CS1134CS1171

CS3670

CS1169

CS1135

CS1174

CS1139

CS1140CS1195

CS1188

CS1187

CS1186

CS1194CM1191

CS3742 CS1181

CS1179

CS1184

CS1176

Kranj

Maribor

Celje

Jesenice

Skofja LokaDomzale Trbovlje

Velenje

Novo Mesto

Ptuj

Murska Sobota

S1

S2

S3

S4S5S6

S7

S8

S9 S10

S11 S12

S13

m1

m2

m3m4

m5

m6

m7

m8

m9

m10

m11

m12

m13

m14

m15

Bziceni

Ocnita

Edinet

Geodeni

Falesti

Ungheni

Nisporeni

Carpineni

Leova

Comrat

Congaz

Ciadiz-Lunga

Taraclia

Vulcanesti

Cahul

BenderTiraspol

Belti

Kishinev

A326A323

A322

A324

A321

A522

A521

A721

A723

A724

A621

A821A923

A924

A1024

A921A922A1023

A1025

A1026

A1021

A1121

A1022A1031A1029

A1028A1027

A1030

A1032A1221

A1321

A1428

A1414A1427

A1424A1422

A1421

A1426A1425

A1528A1524A1526

A1527A1525

A1523

A1522

A1521

A422

A423

A722

A421

A1222

A73100007

A73200417A73200617

A73300407

A75000987

A40502037

A40502017

A4041017

A54110127A5411057

A54110017

A51210147A73390966

A40607017

A40607027

A40709117

A40709077

A40709067

A40709047

A40709037

A40709027

A40710027A40710017

A40907037

A40814047 A30900057

A30900047

A30900027

A30900017

A92001017

A31000017A31000027

A31100047

A31100057

A31100037

A31200037

A10000077

A10000027

A10000107A10000097

A10000087

A61400147A61400137

A61400127

A61400117

A61400107

A61400087A61400157

A21560297A21500087A21551267

A21551257

A21500057A21530157

A21500047

A21500027

A21510107A71560907

BUDAPEST1

BUDAPEST2

BUDAPEST3

DEBRECEN

MISKOLC

SZEGED

PECS

GYOR

NYIREGYHAZA1NYIREGYHAZA2

SZEKESFEHERVAR

KECSKEM ET

SZOMBATHELYSZOLNOK

TATABANYA

KAPOSVAR

BEKESCSABA

VESZPREM

ZALAEGERSZEG

EGER

DUNAUJVAROS

SOPRON

NAGYKANIZSA HODMEZOVASARHELY

ERD

SALGOTARJAN

OZD

BAJA

CEGLED

SZEKSZARD

KAZINCBARCIKA

GYONGYOS

PAPA

VAC

GYULA

AJKA

KISKUNFELEGYHAZASZENTES

HAJDUBOSZORM ENY

MOSONMAGYAROVAR1MOSONMAGYAROVAR2

GODOLLO

JASZBERENY

ESZTERGOM

KOMLO

OROSHAZA

DUNAKESZI

NAGYKOROS

VARPALOTA

MAKO

TATA HATVAN

TOROKSZENTMIKLOS

HAJDUSZOBOSZLO

KARCAG

BEKES

BUDAORSOROSZLANY

SZENTENDRE

SZIGETSZENTMIKLOS

DOMBOVAR

MOHACS

KOMAROM

PAKS

MEZOTUR

CSONGRAD

HAJDUNANAS

MONOR

TAPOLCA

GYAL

SZARVAS

MATESZALKA

BALMAZUJVAROS

BALASSAGYARMAT

SATORALJAUJHELY

TISZAUJVAROS

KALOCSA

VECSES

KISVARDA

MEZOKOVESD

SZAZHALOMBATTA BERETTYOUJFALU

GYOMAENDROD

SARVAR

ABONY

BATONYTERENYE

DUNAHARASZTI

DABAS

SAROSPATAK

BONYHAD

MOR

FOT TISZAFURED

TISZAVASVARI

GOD

SAJOSZENTPETER

SARBOGARD

NYIRBATOR

PUSPOKLADANY

DOROG

KISUJSZALLAS

POMAZ

KORMEND

HAJDUHADHAZ

MARCALI

NAGYATAD

BARCS

GYOMRO

TOLNA

NAGYKATA

CELLDOMOLK

PILISVOROSVAR

KOSZEG

TISZAKECSKE

BUDAKESZI

HEVES

TISZAFOLDVAR

MEZOBERENY

BICSKE

SZIGETVAR

PECEL

SARKAD

LAJOSMIZSE

KAPUVARCSORNA

ALBERTIRSA

SIKLOS

PASZTO

TURKEVE

SZERENCS

KUNSZENTMARTON

EDELENY

UJFEHERTO

SZIGETHALOM

SZEGHALOM

BUDAPEST CANNING-BREWERYBUDAPESTPAPER

TISZAUJVAROS CHEMICAL

KAZINCBARCIKA CHEMICAL

DUNAUJVAROS PAPERDUNAUJVAROS METALLURGICAL

ALMASFUZITO CHEMICALLABATLAN PAPER

MARCALI LEATHER

BALATONFUZFO CHEMICAL

PET CHEMICAL

PECS LEATHER

01FF01

01FF0201FF07 01FF04

02FF51

02FF02

02FF32

03FF06

03FF05

03FF07

03FF01

01FF13

01FF11

01FF22

01FF12

02FF17

02FF03

06FF27

04FF11

04FF14

02FF12

01FF62

01FF40

01FF38

06FF23

07FF01

07FF04

07FF05

08FF02

08FF04

10FF02

10FF04

10FF12

10FF14

11FF11

11FF12

07FF10

07FF11

07FF29

08FF07

09FF0308FF15

10FF22

11FF63

11FF32

CID

CIC

CIBCIE

CIA

BUDAORS CHEMICAL

CM12CM47

PECS LEATHER

A711A713A712

A311

A411

A1111

A1112

A1012

A1413A1411

A1414

A1412

A1416

A1311

A1313

A1312

A913

A912

A612

A611 A911

BUDAORS CHEMICAL

PET CHEMICAL

BALATONFUZFO CHEMICAL

MARCALI LEATHER

DUNAUJVAROS PAPER

CIECIB

CIA

CID

CIC

TISZAUJVAROS CHEMICAL

KAZINCBARCIKA CHEMICAL

agriculture

WWTP

others

others s a

Novi Sad

Osijek

Nis

Rijeka

Split

Constanca

Varna

Craiova

Ploesti

Braila

Sarajevo

Sofia

Bucuresti

Beograd

BM3

BM9

BM1

BM4

BM8

BM25

BM5BM2

BM38

BM16

BM35

BM36

BM37

BM22BM23

BM15

BM19

BM10

BM14

BM18

BM21

BM12

BM24

BM11BM17

BM28

BM26 BM29

BM32

BM31

BM27

BM33

BM13

BM34

BI1

BI2

BI3

BI4

BI5

BI9

BS334 BS147

BS336

BS17

BS335

BS337

BS175BS18

BS342

BS346

BS345

BS344

BS178

BS339

BS27

BS348

BS32

BS197

BS37

BS30

BS191BS29

BS190BS28

BS189

BS25

BS355

BS40

BS39

BS201

BS33

BS352

BS198BS194

BS199

BS198

BS45

BS206

BS44

BS43

BS42

BS205BS206

BS51

BS360BS358

BS53

BSBS4

BS220BS270

BS49BS216

BS210

BS209

BS208

BS234

BS232BS364

BS363

BS56

BS230231BS229

BS55BS228

BS361

BS182

BS347

05FF18

BI4

BI1

BI3

BI2

BI5

BI9

Phosphorus105 kta

agricultureWWTP

others

PH Brunner 1424CTCI at NTU October 5 2009

A direct and indirect inputs of animal waste productsB erosion and leachingC direct flows from private households and industryD diffuse inputs from forestry (erosion percolation)

15

MFA for environmental protection and resources management

1st generation MFA Environmental protection

bull DDT

bull CFCs

bull PCBs NP etc

bull C -gt CO2 and CH42 4

PH Brunner 1524CTCI at NTU October 5 2009

16

MFA for greenhouse gas emission assessment

CO2 from hellip sources

fossil biogenic

f ilbiogenic

Energy from hellip sources

PH Brunner 1624CTCI at NTU October 5 2009

fossil

17

Concept of Balance Method

Material data of waste inputBiogenic matter C H O N S Cl

Fossil matter C H O N S Cl

800

Fossil matter C H O N S Cl

Balance equations

mI

c m + c m

mB + mF + mI + mw

= awaste

= 1

mI

c m + c m

mB + mF + mI + mw

= awaste

= 1

0

200

400

600

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

kg CO2 foss t waste

Revision of plant

cB mB + cF mF

HVB mB + HVF mF -245mW

dO2-CO2 mB + dO2-CO2 mF

= cwaste

= HVwaste

= dO2-CO2waste

O2CB mB + O2

CF mF = O2

Cwaste

cB mB + cF mF

HVB mB + HVF mF -245mW

dO2-CO2 mB + dO2-CO2 mF

= cwaste

= HVwaste

= dO2-CO2waste

O2CB mB + O2

CF mF = O2

Cwaste

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

30

40

50

60

70

80

90

100

o o

f energ

y fr

om

enic

sourc

es [

]

Line 1

Line 2

30

40

50

60

70

80

90

100

o o

f energ

y fr

om

enic

sourc

es [

]

Line 1

Line 2

PH Brunner 1724CTCI at NTU October 5 2009

Operating data from WTE plantWaste input flue gas volume

CO2 O2 steam production0

10

20

30

010707 010807 010907 011007

Rati

obio

ge

0

10

20

30

010707 010807 010907 011007

Rati

obio

ge

18

Balance Equation

mB + mF + mI + mw = 1Mass balance

mI

cB mB + cF mF

HV HV 2 45

= awaste

= cwaste

ldquoAshrdquo-balance

Carbon-balance

HVB mB + HVF mF -245mW

dO2-CO2 mB + dO2-CO2 mF

= HVwaste

= dO CO t

Energy-balance

Difference of d

O2-consumption O2CB mB + O2

CF mF = O2

Cwaste

PH Brunner 1824CTCI at NTU October 5 2009

dO2-CO2 B dO2-CO2 F = dO2-CO2wasteO2-cons +CO2-prod

Derived from operating dataCoefficients (given by the chemical composition of

biogenic and fossil matter)

19

Results (annual values)

CO2 - Emissions Fraction of fossil CO2 emissions []CO2 Emissions

819 plusmn39727 plusmn31

60 000

80000

100000

ssio

ns

sye

ar]

40

50

60

702 []

Radiocarbon methodBalance method

0

20000

40000

60000

CO

2-E

mi

[kilo

ton

s

bi i f il

529 471

0

10

20

30

PH Brunner 1924CTCI at NTU October 5 2009Johann Fellner

biogenic fossil

20

MFA for environmental protection and resources management

1st generation MFA Environmental protection

bull DDT

bull CFCs

bull PCBs NP etc

bull C -gt CO2 and CH42 4

2nd generation Resource management

bull Regional nutrient flows -gt integrated P management

bull Regional and global metal flows and stocks (Graedel)

PH Brunner 2024CTCI at NTU October 5 2009

bull Regional and global metal flows and stocks (Graedel)

-gt future metal management

21

Copper management based on MFA

11000 11500 3800

54011000

300000+7700

productscathodiccopper

Cu scrap III

680

Cu scrap II

waste

lOre

useWaste

management

54

1400Cu scrap I

11000 11500copper

production

2Copper

manufacturing

3

580000-11000

85000+3100

1700

Waste to landfill

1200waste

150slagOre

1 6Lithosphere landfill

flows 1000 tastocks 1000 t

PH Brunner 2124CTCI at NTU October 5 2009

source Graedel et al 2002 and Rechberger

World 1994rdquo

22

Application of MFA for governance in waste management

Goal improve waste management practice

step 1 professional MFA standard OumlWAV guideline (consensus)

step 2 Austrian Standard ONORM S 2096 ldquoMFA- Application in

waste managementrdquo

step 3 easy to use software STAN (freeware) for MFA in wm

step 4 mandatory MFA requirement for certified MSW companies

step 5 routine waste analysis by MFA on selected MSW incinerators

step 6 Link all relevant information for a new knowledge base (eg

PH Brunner 2224CTCI at NTU October 5 2009

for national waste management plan)

23

Conclusions

Objective - sustainable resource use

long term en ironmental protection- long-term environmental protection

MFA is instrumental for this objective because

bull it is a rigid transparent and objectiv method to model andvisualize material flows including uncertainty

bull It facilitates understanding and public acceptance of decisions

bull It is a key decision support tool for resource management environmental management and waste management

bull It is indispensable to establish knowledge bases for em rm andwm

PH Brunner 2324CTCI at NTU October 5 2009

wm

bull It needs to be standardized in order to fully exploit its potential

24

ThankThank youyou

PH Brunner 2424CTCI at NTU October 5 2009

9

STAN allows modelling more complexe systems such as wm

PH Brunner 924CTCI at NTU October 5 2009

10

Scale from human to hellip

700

0

respirationtranspiration mass [kgca]

phosphorus [gca]

50100

450

270

humanbody

1700

390

food

0

feces

urine

270

400

20

sewage

PH Brunner 1024CTCI at NTU October 5 2009

11

Scale from human to household to hellip

7000

respirationtranspiration mass [kgca]

phosphorus [gca]

50100

450

270

humanbody

1700

430 kitchen

food

0

feces

urine

270

total foodwastes toseweringsystem

10040

40020

900

390

garbage sewage

to STP

PH Brunner 1124CTCI at NTU October 5 2009

40

to MSWtreatment

to STPsystems boundaries phh 1year

12

Scale from human to household to regional tohellip

atmosphere

flow = 230 ta export = 170 ta

meat milk eggsphosphorous [ta]

stock 10000 + 70 ta

agr soil

plantcultivation

fertilicer

animal feedstockanimals

meat milk eggs

cerealsvegetables fruits

10 000+68

30

24

85

3

13

45 100109

17

78

phosphorous [ta]

wwtplandfill

surface waterriver

food

surface water

74

13

19

17

38

28

PH Brunner 1224CTCI at NTU October 5 2009

industryprivate hh

industrial products

sewer

cleaners foodgt4017 17 21

gt61

38

13

Scale from human to household to regional to national tohellip

[kgca]

5 1 04agriculturefood

processingprivate

household

systems boundaries region1year

4 06 04

agricultural lossesand wastes

food processingwastes

sewage and MSW

PH Brunner 1324CTCI at NTU October 5 2009

14

Contribution of various sectors to the nu-trients in the river Danube watershed

Scale from human to household to regional to national to watershedhellip

Nitrogen825 kta

Ismail

Tirgu Mures

Kosice

Klagenfurt

Insbruck

Gyor

Szombathely

Cluj-Napoca

BrasovGalat

Iasi

Tchernovte

Miskolc

Debrecen

Oradea

Arad

Szeged

Pecs

Zagreb

Ljubljana

Bratislava

Brno

Linz

Regensburg

Augsburg

Munchen

Szekesfehervar

Graz

Salzburg

Budapest

Wien

Praha

Trnava

Nitra

Trencin

Prievidza Banska Bystrica

Zilina

Martin

Prasov

Levice

PiestanyTopolcany

Povazska BystricaLiptovsky Mikulas

Zvolen

Spisska Nova Ves

Bardejov

Humenne

Michalovce

Komarno

u61

u62

u59

u48

u58

u57

u56

u55

u47

u46

u45 u71

u54

u53

u52

u44 u50

u49 u65

u70

u69

u66

u67

u64BeregovoVinogradov

Vilok

Khust

Irshava

MezhgorieSvalyava

VishkovoTyachev

Chop

Solotvina VBychkov

Rakhov

Dybovoe

Kolomia

Yaremcha

Kosov

Snyatin

Storozhinets

Mukachevo

Uzhgorod

CM4

CM7

CM43

CM30

CM36CM38

CM34CM18

CM29

CM31CM22

CM35

CM9

CM26

CM23

CM2

CM5

CM0

CM17

CM28

CM33

CM32

CM8 CM25

CM14CM11

CM23CM46

CM21CM45

CM40

CM44CM13CM42CM27CM39

CM6CM41

CM19

CM15CM20

CM10

CM3

CS3545

CS3639CS1132

CS1133

CS1134CS1171

CS3670

CS1169

CS1135

CS1174

CS1139

CS1140CS1195

CS1188

CS1187

CS1186

CS1194CM1191

CS3742 CS1181

CS1179

CS1184

CS1176

Kranj

Maribor

Celje

Jesenice

Skofja LokaDomzale Trbovlje

Velenje

Novo Mesto

Ptuj

Murska Sobota

S1

S2

S3

S4S5S6

S7

S8

S9 S10

S11 S12

S13

m1

m2

m3m4

m5

m6

m7

m8

m9

m10

m11

m12

m13

m14

m15

Bziceni

Ocnita

Edinet

Geodeni

Falesti

Ungheni

Nisporeni

Carpineni

Leova

Comrat

Congaz

Ciadiz-Lunga

Taraclia

Vulcanesti

Cahul

BenderTiraspol

Belti

Kishinev

A326A323

A322

A324

A321

A522

A521

A721

A723

A724

A621

A821A923

A924

A1024

A921A922A1023

A1025

A1026

A1021

A1121

A1022A1031A1029

A1028A1027

A1030

A1032A1221

A1321

A1428

A1414A1427

A1424A1422

A1421

A1426A1425

A1528A1524A1526

A1527A1525

A1523

A1522

A1521

A422

A423

A722

A421

A1222

A73100007

A73200417A73200617

A73300407

A75000987

A40502037

A40502017

A4041017

A54110127A5411057

A54110017

A51210147A73390966

A40607017

A40607027

A40709117

A40709077

A40709067

A40709047

A40709037

A40709027

A40710027A40710017

A40907037

A40814047 A30900057

A30900047

A30900027

A30900017

A92001017

A31000017A31000027

A31100047

A31100057

A31100037

A31200037

A10000077

A10000027

A10000107A10000097

A10000087

A61400147A61400137

A61400127

A61400117

A61400107

A61400087A61400157

A21560297A21500087A21551267

A21551257

A21500057A21530157

A21500047

A21500027

A21510107A71560907

BUDAPEST1

BUDAPEST2

BUDAPEST3

DEBRECEN

MISKOLC

SZEGED

PECS

GYOR

NYIREGYHAZA1NYIREGYHAZA2

SZEKESFEHERVAR

KECSKEM ET

SZOMBATHELYSZOLNOK

TATABANYA

KAPOSVAR

BEKESCSABA

VESZPREM

ZALAEGERSZEG

EGER

DUNAUJVAROS

SOPRON

NAGYKANIZSA HODMEZOVASARHELY

ERD

SALGOTARJAN

OZD

BAJA

CEGLED

SZEKSZARD

KAZINCBARCIKA

GYONGYOS

PAPA

VAC

GYULA

AJKA

KISKUNFELEGYHAZASZENTES

HAJDUBOSZORM ENY

MOSONMAGYAROVAR1MOSONMAGYAROVAR2

GODOLLO

JASZBERENY

ESZTERGOM

KOMLO

OROSHAZA

DUNAKESZI

NAGYKOROS

VARPALOTA

MAKO

TATA HATVAN

TOROKSZENTMIKLOS

HAJDUSZOBOSZLO

KARCAG

BEKES

BUDAORSOROSZLANY

SZENTENDRE

SZIGETSZENTMIKLOS

DOMBOVAR

MOHACS

KOMAROM

PAKS

MEZOTUR

CSONGRAD

HAJDUNANAS

MONOR

TAPOLCA

GYAL

SZARVAS

MATESZALKA

BALMAZUJVAROS

BALASSAGYARMAT

SATORALJAUJHELY

TISZAUJVAROS

KALOCSA

VECSES

KISVARDA

MEZOKOVESD

SZAZHALOMBATTA BERETTYOUJFALU

GYOMAENDROD

SARVAR

ABONY

BATONYTERENYE

DUNAHARASZTI

DABAS

SAROSPATAK

BONYHAD

MOR

FOT TISZAFURED

TISZAVASVARI

GOD

SAJOSZENTPETER

SARBOGARD

NYIRBATOR

PUSPOKLADANY

DOROG

KISUJSZALLAS

POMAZ

KORMEND

HAJDUHADHAZ

MARCALI

NAGYATAD

BARCS

GYOMRO

TOLNA

NAGYKATA

CELLDOMOLK

PILISVOROSVAR

KOSZEG

TISZAKECSKE

BUDAKESZI

HEVES

TISZAFOLDVAR

MEZOBERENY

BICSKE

SZIGETVAR

PECEL

SARKAD

LAJOSMIZSE

KAPUVARCSORNA

ALBERTIRSA

SIKLOS

PASZTO

TURKEVE

SZERENCS

KUNSZENTMARTON

EDELENY

UJFEHERTO

SZIGETHALOM

SZEGHALOM

BUDAPEST CANNING-BREWERYBUDAPESTPAPER

TISZAUJVAROS CHEMICAL

KAZINCBARCIKA CHEMICAL

DUNAUJVAROS PAPERDUNAUJVAROS METALLURGICAL

ALMASFUZITO CHEMICALLABATLAN PAPER

MARCALI LEATHER

BALATONFUZFO CHEMICAL

PET CHEMICAL

PECS LEATHER

01FF01

01FF0201FF07 01FF04

02FF51

02FF02

02FF32

03FF06

03FF05

03FF07

03FF01

01FF13

01FF11

01FF22

01FF12

02FF17

02FF03

06FF27

04FF11

04FF14

02FF12

01FF62

01FF40

01FF38

06FF23

07FF01

07FF04

07FF05

08FF02

08FF04

10FF02

10FF04

10FF12

10FF14

11FF11

11FF12

07FF10

07FF11

07FF29

08FF07

09FF0308FF15

10FF22

11FF63

11FF32

CID

CIC

CIBCIE

CIA

BUDAORS CHEMICAL

CM12CM47

PECS LEATHER

A711A713A712

A311

A411

A1111

A1112

A1012

A1413A1411

A1414

A1412

A1416

A1311

A1313

A1312

A913

A912

A612

A611 A911

BUDAORS CHEMICAL

PET CHEMICAL

BALATONFUZFO CHEMICAL

MARCALI LEATHER

DUNAUJVAROS PAPER

CIECIB

CIA

CID

CIC

TISZAUJVAROS CHEMICAL

KAZINCBARCIKA CHEMICAL

agriculture

WWTP

others

others s a

Novi Sad

Osijek

Nis

Rijeka

Split

Constanca

Varna

Craiova

Ploesti

Braila

Sarajevo

Sofia

Bucuresti

Beograd

BM3

BM9

BM1

BM4

BM8

BM25

BM5BM2

BM38

BM16

BM35

BM36

BM37

BM22BM23

BM15

BM19

BM10

BM14

BM18

BM21

BM12

BM24

BM11BM17

BM28

BM26 BM29

BM32

BM31

BM27

BM33

BM13

BM34

BI1

BI2

BI3

BI4

BI5

BI9

BS334 BS147

BS336

BS17

BS335

BS337

BS175BS18

BS342

BS346

BS345

BS344

BS178

BS339

BS27

BS348

BS32

BS197

BS37

BS30

BS191BS29

BS190BS28

BS189

BS25

BS355

BS40

BS39

BS201

BS33

BS352

BS198BS194

BS199

BS198

BS45

BS206

BS44

BS43

BS42

BS205BS206

BS51

BS360BS358

BS53

BSBS4

BS220BS270

BS49BS216

BS210

BS209

BS208

BS234

BS232BS364

BS363

BS56

BS230231BS229

BS55BS228

BS361

BS182

BS347

05FF18

BI4

BI1

BI3

BI2

BI5

BI9

Phosphorus105 kta

agricultureWWTP

others

PH Brunner 1424CTCI at NTU October 5 2009

A direct and indirect inputs of animal waste productsB erosion and leachingC direct flows from private households and industryD diffuse inputs from forestry (erosion percolation)

15

MFA for environmental protection and resources management

1st generation MFA Environmental protection

bull DDT

bull CFCs

bull PCBs NP etc

bull C -gt CO2 and CH42 4

PH Brunner 1524CTCI at NTU October 5 2009

16

MFA for greenhouse gas emission assessment

CO2 from hellip sources

fossil biogenic

f ilbiogenic

Energy from hellip sources

PH Brunner 1624CTCI at NTU October 5 2009

fossil

17

Concept of Balance Method

Material data of waste inputBiogenic matter C H O N S Cl

Fossil matter C H O N S Cl

800

Fossil matter C H O N S Cl

Balance equations

mI

c m + c m

mB + mF + mI + mw

= awaste

= 1

mI

c m + c m

mB + mF + mI + mw

= awaste

= 1

0

200

400

600

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

kg CO2 foss t waste

Revision of plant

cB mB + cF mF

HVB mB + HVF mF -245mW

dO2-CO2 mB + dO2-CO2 mF

= cwaste

= HVwaste

= dO2-CO2waste

O2CB mB + O2

CF mF = O2

Cwaste

cB mB + cF mF

HVB mB + HVF mF -245mW

dO2-CO2 mB + dO2-CO2 mF

= cwaste

= HVwaste

= dO2-CO2waste

O2CB mB + O2

CF mF = O2

Cwaste

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

30

40

50

60

70

80

90

100

o o

f energ

y fr

om

enic

sourc

es [

]

Line 1

Line 2

30

40

50

60

70

80

90

100

o o

f energ

y fr

om

enic

sourc

es [

]

Line 1

Line 2

PH Brunner 1724CTCI at NTU October 5 2009

Operating data from WTE plantWaste input flue gas volume

CO2 O2 steam production0

10

20

30

010707 010807 010907 011007

Rati

obio

ge

0

10

20

30

010707 010807 010907 011007

Rati

obio

ge

18

Balance Equation

mB + mF + mI + mw = 1Mass balance

mI

cB mB + cF mF

HV HV 2 45

= awaste

= cwaste

ldquoAshrdquo-balance

Carbon-balance

HVB mB + HVF mF -245mW

dO2-CO2 mB + dO2-CO2 mF

= HVwaste

= dO CO t

Energy-balance

Difference of d

O2-consumption O2CB mB + O2

CF mF = O2

Cwaste

PH Brunner 1824CTCI at NTU October 5 2009

dO2-CO2 B dO2-CO2 F = dO2-CO2wasteO2-cons +CO2-prod

Derived from operating dataCoefficients (given by the chemical composition of

biogenic and fossil matter)

19

Results (annual values)

CO2 - Emissions Fraction of fossil CO2 emissions []CO2 Emissions

819 plusmn39727 plusmn31

60 000

80000

100000

ssio

ns

sye

ar]

40

50

60

702 []

Radiocarbon methodBalance method

0

20000

40000

60000

CO

2-E

mi

[kilo

ton

s

bi i f il

529 471

0

10

20

30

PH Brunner 1924CTCI at NTU October 5 2009Johann Fellner

biogenic fossil

20

MFA for environmental protection and resources management

1st generation MFA Environmental protection

bull DDT

bull CFCs

bull PCBs NP etc

bull C -gt CO2 and CH42 4

2nd generation Resource management

bull Regional nutrient flows -gt integrated P management

bull Regional and global metal flows and stocks (Graedel)

PH Brunner 2024CTCI at NTU October 5 2009

bull Regional and global metal flows and stocks (Graedel)

-gt future metal management

21

Copper management based on MFA

11000 11500 3800

54011000

300000+7700

productscathodiccopper

Cu scrap III

680

Cu scrap II

waste

lOre

useWaste

management

54

1400Cu scrap I

11000 11500copper

production

2Copper

manufacturing

3

580000-11000

85000+3100

1700

Waste to landfill

1200waste

150slagOre

1 6Lithosphere landfill

flows 1000 tastocks 1000 t

PH Brunner 2124CTCI at NTU October 5 2009

source Graedel et al 2002 and Rechberger

World 1994rdquo

22

Application of MFA for governance in waste management

Goal improve waste management practice

step 1 professional MFA standard OumlWAV guideline (consensus)

step 2 Austrian Standard ONORM S 2096 ldquoMFA- Application in

waste managementrdquo

step 3 easy to use software STAN (freeware) for MFA in wm

step 4 mandatory MFA requirement for certified MSW companies

step 5 routine waste analysis by MFA on selected MSW incinerators

step 6 Link all relevant information for a new knowledge base (eg

PH Brunner 2224CTCI at NTU October 5 2009

for national waste management plan)

23

Conclusions

Objective - sustainable resource use

long term en ironmental protection- long-term environmental protection

MFA is instrumental for this objective because

bull it is a rigid transparent and objectiv method to model andvisualize material flows including uncertainty

bull It facilitates understanding and public acceptance of decisions

bull It is a key decision support tool for resource management environmental management and waste management

bull It is indispensable to establish knowledge bases for em rm andwm

PH Brunner 2324CTCI at NTU October 5 2009

wm

bull It needs to be standardized in order to fully exploit its potential

24

ThankThank youyou

PH Brunner 2424CTCI at NTU October 5 2009

10

Scale from human to hellip

700

0

respirationtranspiration mass [kgca]

phosphorus [gca]

50100

450

270

humanbody

1700

390

food

0

feces

urine

270

400

20

sewage

PH Brunner 1024CTCI at NTU October 5 2009

11

Scale from human to household to hellip

7000

respirationtranspiration mass [kgca]

phosphorus [gca]

50100

450

270

humanbody

1700

430 kitchen

food

0

feces

urine

270

total foodwastes toseweringsystem

10040

40020

900

390

garbage sewage

to STP

PH Brunner 1124CTCI at NTU October 5 2009

40

to MSWtreatment

to STPsystems boundaries phh 1year

12

Scale from human to household to regional tohellip

atmosphere

flow = 230 ta export = 170 ta

meat milk eggsphosphorous [ta]

stock 10000 + 70 ta

agr soil

plantcultivation

fertilicer

animal feedstockanimals

meat milk eggs

cerealsvegetables fruits

10 000+68

30

24

85

3

13

45 100109

17

78

phosphorous [ta]

wwtplandfill

surface waterriver

food

surface water

74

13

19

17

38

28

PH Brunner 1224CTCI at NTU October 5 2009

industryprivate hh

industrial products

sewer

cleaners foodgt4017 17 21

gt61

38

13

Scale from human to household to regional to national tohellip

[kgca]

5 1 04agriculturefood

processingprivate

household

systems boundaries region1year

4 06 04

agricultural lossesand wastes

food processingwastes

sewage and MSW

PH Brunner 1324CTCI at NTU October 5 2009

14

Contribution of various sectors to the nu-trients in the river Danube watershed

Scale from human to household to regional to national to watershedhellip

Nitrogen825 kta

Ismail

Tirgu Mures

Kosice

Klagenfurt

Insbruck

Gyor

Szombathely

Cluj-Napoca

BrasovGalat

Iasi

Tchernovte

Miskolc

Debrecen

Oradea

Arad

Szeged

Pecs

Zagreb

Ljubljana

Bratislava

Brno

Linz

Regensburg

Augsburg

Munchen

Szekesfehervar

Graz

Salzburg

Budapest

Wien

Praha

Trnava

Nitra

Trencin

Prievidza Banska Bystrica

Zilina

Martin

Prasov

Levice

PiestanyTopolcany

Povazska BystricaLiptovsky Mikulas

Zvolen

Spisska Nova Ves

Bardejov

Humenne

Michalovce

Komarno

u61

u62

u59

u48

u58

u57

u56

u55

u47

u46

u45 u71

u54

u53

u52

u44 u50

u49 u65

u70

u69

u66

u67

u64BeregovoVinogradov

Vilok

Khust

Irshava

MezhgorieSvalyava

VishkovoTyachev

Chop

Solotvina VBychkov

Rakhov

Dybovoe

Kolomia

Yaremcha

Kosov

Snyatin

Storozhinets

Mukachevo

Uzhgorod

CM4

CM7

CM43

CM30

CM36CM38

CM34CM18

CM29

CM31CM22

CM35

CM9

CM26

CM23

CM2

CM5

CM0

CM17

CM28

CM33

CM32

CM8 CM25

CM14CM11

CM23CM46

CM21CM45

CM40

CM44CM13CM42CM27CM39

CM6CM41

CM19

CM15CM20

CM10

CM3

CS3545

CS3639CS1132

CS1133

CS1134CS1171

CS3670

CS1169

CS1135

CS1174

CS1139

CS1140CS1195

CS1188

CS1187

CS1186

CS1194CM1191

CS3742 CS1181

CS1179

CS1184

CS1176

Kranj

Maribor

Celje

Jesenice

Skofja LokaDomzale Trbovlje

Velenje

Novo Mesto

Ptuj

Murska Sobota

S1

S2

S3

S4S5S6

S7

S8

S9 S10

S11 S12

S13

m1

m2

m3m4

m5

m6

m7

m8

m9

m10

m11

m12

m13

m14

m15

Bziceni

Ocnita

Edinet

Geodeni

Falesti

Ungheni

Nisporeni

Carpineni

Leova

Comrat

Congaz

Ciadiz-Lunga

Taraclia

Vulcanesti

Cahul

BenderTiraspol

Belti

Kishinev

A326A323

A322

A324

A321

A522

A521

A721

A723

A724

A621

A821A923

A924

A1024

A921A922A1023

A1025

A1026

A1021

A1121

A1022A1031A1029

A1028A1027

A1030

A1032A1221

A1321

A1428

A1414A1427

A1424A1422

A1421

A1426A1425

A1528A1524A1526

A1527A1525

A1523

A1522

A1521

A422

A423

A722

A421

A1222

A73100007

A73200417A73200617

A73300407

A75000987

A40502037

A40502017

A4041017

A54110127A5411057

A54110017

A51210147A73390966

A40607017

A40607027

A40709117

A40709077

A40709067

A40709047

A40709037

A40709027

A40710027A40710017

A40907037

A40814047 A30900057

A30900047

A30900027

A30900017

A92001017

A31000017A31000027

A31100047

A31100057

A31100037

A31200037

A10000077

A10000027

A10000107A10000097

A10000087

A61400147A61400137

A61400127

A61400117

A61400107

A61400087A61400157

A21560297A21500087A21551267

A21551257

A21500057A21530157

A21500047

A21500027

A21510107A71560907

BUDAPEST1

BUDAPEST2

BUDAPEST3

DEBRECEN

MISKOLC

SZEGED

PECS

GYOR

NYIREGYHAZA1NYIREGYHAZA2

SZEKESFEHERVAR

KECSKEM ET

SZOMBATHELYSZOLNOK

TATABANYA

KAPOSVAR

BEKESCSABA

VESZPREM

ZALAEGERSZEG

EGER

DUNAUJVAROS

SOPRON

NAGYKANIZSA HODMEZOVASARHELY

ERD

SALGOTARJAN

OZD

BAJA

CEGLED

SZEKSZARD

KAZINCBARCIKA

GYONGYOS

PAPA

VAC

GYULA

AJKA

KISKUNFELEGYHAZASZENTES

HAJDUBOSZORM ENY

MOSONMAGYAROVAR1MOSONMAGYAROVAR2

GODOLLO

JASZBERENY

ESZTERGOM

KOMLO

OROSHAZA

DUNAKESZI

NAGYKOROS

VARPALOTA

MAKO

TATA HATVAN

TOROKSZENTMIKLOS

HAJDUSZOBOSZLO

KARCAG

BEKES

BUDAORSOROSZLANY

SZENTENDRE

SZIGETSZENTMIKLOS

DOMBOVAR

MOHACS

KOMAROM

PAKS

MEZOTUR

CSONGRAD

HAJDUNANAS

MONOR

TAPOLCA

GYAL

SZARVAS

MATESZALKA

BALMAZUJVAROS

BALASSAGYARMAT

SATORALJAUJHELY

TISZAUJVAROS

KALOCSA

VECSES

KISVARDA

MEZOKOVESD

SZAZHALOMBATTA BERETTYOUJFALU

GYOMAENDROD

SARVAR

ABONY

BATONYTERENYE

DUNAHARASZTI

DABAS

SAROSPATAK

BONYHAD

MOR

FOT TISZAFURED

TISZAVASVARI

GOD

SAJOSZENTPETER

SARBOGARD

NYIRBATOR

PUSPOKLADANY

DOROG

KISUJSZALLAS

POMAZ

KORMEND

HAJDUHADHAZ

MARCALI

NAGYATAD

BARCS

GYOMRO

TOLNA

NAGYKATA

CELLDOMOLK

PILISVOROSVAR

KOSZEG

TISZAKECSKE

BUDAKESZI

HEVES

TISZAFOLDVAR

MEZOBERENY

BICSKE

SZIGETVAR

PECEL

SARKAD

LAJOSMIZSE

KAPUVARCSORNA

ALBERTIRSA

SIKLOS

PASZTO

TURKEVE

SZERENCS

KUNSZENTMARTON

EDELENY

UJFEHERTO

SZIGETHALOM

SZEGHALOM

BUDAPEST CANNING-BREWERYBUDAPESTPAPER

TISZAUJVAROS CHEMICAL

KAZINCBARCIKA CHEMICAL

DUNAUJVAROS PAPERDUNAUJVAROS METALLURGICAL

ALMASFUZITO CHEMICALLABATLAN PAPER

MARCALI LEATHER

BALATONFUZFO CHEMICAL

PET CHEMICAL

PECS LEATHER

01FF01

01FF0201FF07 01FF04

02FF51

02FF02

02FF32

03FF06

03FF05

03FF07

03FF01

01FF13

01FF11

01FF22

01FF12

02FF17

02FF03

06FF27

04FF11

04FF14

02FF12

01FF62

01FF40

01FF38

06FF23

07FF01

07FF04

07FF05

08FF02

08FF04

10FF02

10FF04

10FF12

10FF14

11FF11

11FF12

07FF10

07FF11

07FF29

08FF07

09FF0308FF15

10FF22

11FF63

11FF32

CID

CIC

CIBCIE

CIA

BUDAORS CHEMICAL

CM12CM47

PECS LEATHER

A711A713A712

A311

A411

A1111

A1112

A1012

A1413A1411

A1414

A1412

A1416

A1311

A1313

A1312

A913

A912

A612

A611 A911

BUDAORS CHEMICAL

PET CHEMICAL

BALATONFUZFO CHEMICAL

MARCALI LEATHER

DUNAUJVAROS PAPER

CIECIB

CIA

CID

CIC

TISZAUJVAROS CHEMICAL

KAZINCBARCIKA CHEMICAL

agriculture

WWTP

others

others s a

Novi Sad

Osijek

Nis

Rijeka

Split

Constanca

Varna

Craiova

Ploesti

Braila

Sarajevo

Sofia

Bucuresti

Beograd

BM3

BM9

BM1

BM4

BM8

BM25

BM5BM2

BM38

BM16

BM35

BM36

BM37

BM22BM23

BM15

BM19

BM10

BM14

BM18

BM21

BM12

BM24

BM11BM17

BM28

BM26 BM29

BM32

BM31

BM27

BM33

BM13

BM34

BI1

BI2

BI3

BI4

BI5

BI9

BS334 BS147

BS336

BS17

BS335

BS337

BS175BS18

BS342

BS346

BS345

BS344

BS178

BS339

BS27

BS348

BS32

BS197

BS37

BS30

BS191BS29

BS190BS28

BS189

BS25

BS355

BS40

BS39

BS201

BS33

BS352

BS198BS194

BS199

BS198

BS45

BS206

BS44

BS43

BS42

BS205BS206

BS51

BS360BS358

BS53

BSBS4

BS220BS270

BS49BS216

BS210

BS209

BS208

BS234

BS232BS364

BS363

BS56

BS230231BS229

BS55BS228

BS361

BS182

BS347

05FF18

BI4

BI1

BI3

BI2

BI5

BI9

Phosphorus105 kta

agricultureWWTP

others

PH Brunner 1424CTCI at NTU October 5 2009

A direct and indirect inputs of animal waste productsB erosion and leachingC direct flows from private households and industryD diffuse inputs from forestry (erosion percolation)

15

MFA for environmental protection and resources management

1st generation MFA Environmental protection

bull DDT

bull CFCs

bull PCBs NP etc

bull C -gt CO2 and CH42 4

PH Brunner 1524CTCI at NTU October 5 2009

16

MFA for greenhouse gas emission assessment

CO2 from hellip sources

fossil biogenic

f ilbiogenic

Energy from hellip sources

PH Brunner 1624CTCI at NTU October 5 2009

fossil

17

Concept of Balance Method

Material data of waste inputBiogenic matter C H O N S Cl

Fossil matter C H O N S Cl

800

Fossil matter C H O N S Cl

Balance equations

mI

c m + c m

mB + mF + mI + mw

= awaste

= 1

mI

c m + c m

mB + mF + mI + mw

= awaste

= 1

0

200

400

600

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

kg CO2 foss t waste

Revision of plant

cB mB + cF mF

HVB mB + HVF mF -245mW

dO2-CO2 mB + dO2-CO2 mF

= cwaste

= HVwaste

= dO2-CO2waste

O2CB mB + O2

CF mF = O2

Cwaste

cB mB + cF mF

HVB mB + HVF mF -245mW

dO2-CO2 mB + dO2-CO2 mF

= cwaste

= HVwaste

= dO2-CO2waste

O2CB mB + O2

CF mF = O2

Cwaste

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

30

40

50

60

70

80

90

100

o o

f energ

y fr

om

enic

sourc

es [

]

Line 1

Line 2

30

40

50

60

70

80

90

100

o o

f energ

y fr

om

enic

sourc

es [

]

Line 1

Line 2

PH Brunner 1724CTCI at NTU October 5 2009

Operating data from WTE plantWaste input flue gas volume

CO2 O2 steam production0

10

20

30

010707 010807 010907 011007

Rati

obio

ge

0

10

20

30

010707 010807 010907 011007

Rati

obio

ge

18

Balance Equation

mB + mF + mI + mw = 1Mass balance

mI

cB mB + cF mF

HV HV 2 45

= awaste

= cwaste

ldquoAshrdquo-balance

Carbon-balance

HVB mB + HVF mF -245mW

dO2-CO2 mB + dO2-CO2 mF

= HVwaste

= dO CO t

Energy-balance

Difference of d

O2-consumption O2CB mB + O2

CF mF = O2

Cwaste

PH Brunner 1824CTCI at NTU October 5 2009

dO2-CO2 B dO2-CO2 F = dO2-CO2wasteO2-cons +CO2-prod

Derived from operating dataCoefficients (given by the chemical composition of

biogenic and fossil matter)

19

Results (annual values)

CO2 - Emissions Fraction of fossil CO2 emissions []CO2 Emissions

819 plusmn39727 plusmn31

60 000

80000

100000

ssio

ns

sye

ar]

40

50

60

702 []

Radiocarbon methodBalance method

0

20000

40000

60000

CO

2-E

mi

[kilo

ton

s

bi i f il

529 471

0

10

20

30

PH Brunner 1924CTCI at NTU October 5 2009Johann Fellner

biogenic fossil

20

MFA for environmental protection and resources management

1st generation MFA Environmental protection

bull DDT

bull CFCs

bull PCBs NP etc

bull C -gt CO2 and CH42 4

2nd generation Resource management

bull Regional nutrient flows -gt integrated P management

bull Regional and global metal flows and stocks (Graedel)

PH Brunner 2024CTCI at NTU October 5 2009

bull Regional and global metal flows and stocks (Graedel)

-gt future metal management

21

Copper management based on MFA

11000 11500 3800

54011000

300000+7700

productscathodiccopper

Cu scrap III

680

Cu scrap II

waste

lOre

useWaste

management

54

1400Cu scrap I

11000 11500copper

production

2Copper

manufacturing

3

580000-11000

85000+3100

1700

Waste to landfill

1200waste

150slagOre

1 6Lithosphere landfill

flows 1000 tastocks 1000 t

PH Brunner 2124CTCI at NTU October 5 2009

source Graedel et al 2002 and Rechberger

World 1994rdquo

22

Application of MFA for governance in waste management

Goal improve waste management practice

step 1 professional MFA standard OumlWAV guideline (consensus)

step 2 Austrian Standard ONORM S 2096 ldquoMFA- Application in

waste managementrdquo

step 3 easy to use software STAN (freeware) for MFA in wm

step 4 mandatory MFA requirement for certified MSW companies

step 5 routine waste analysis by MFA on selected MSW incinerators

step 6 Link all relevant information for a new knowledge base (eg

PH Brunner 2224CTCI at NTU October 5 2009

for national waste management plan)

23

Conclusions

Objective - sustainable resource use

long term en ironmental protection- long-term environmental protection

MFA is instrumental for this objective because

bull it is a rigid transparent and objectiv method to model andvisualize material flows including uncertainty

bull It facilitates understanding and public acceptance of decisions

bull It is a key decision support tool for resource management environmental management and waste management

bull It is indispensable to establish knowledge bases for em rm andwm

PH Brunner 2324CTCI at NTU October 5 2009

wm

bull It needs to be standardized in order to fully exploit its potential

24

ThankThank youyou

PH Brunner 2424CTCI at NTU October 5 2009

11

Scale from human to household to hellip

7000

respirationtranspiration mass [kgca]

phosphorus [gca]

50100

450

270

humanbody

1700

430 kitchen

food

0

feces

urine

270

total foodwastes toseweringsystem

10040

40020

900

390

garbage sewage

to STP

PH Brunner 1124CTCI at NTU October 5 2009

40

to MSWtreatment

to STPsystems boundaries phh 1year

12

Scale from human to household to regional tohellip

atmosphere

flow = 230 ta export = 170 ta

meat milk eggsphosphorous [ta]

stock 10000 + 70 ta

agr soil

plantcultivation

fertilicer

animal feedstockanimals

meat milk eggs

cerealsvegetables fruits

10 000+68

30

24

85

3

13

45 100109

17

78

phosphorous [ta]

wwtplandfill

surface waterriver

food

surface water

74

13

19

17

38

28

PH Brunner 1224CTCI at NTU October 5 2009

industryprivate hh

industrial products

sewer

cleaners foodgt4017 17 21

gt61

38

13

Scale from human to household to regional to national tohellip

[kgca]

5 1 04agriculturefood

processingprivate

household

systems boundaries region1year

4 06 04

agricultural lossesand wastes

food processingwastes

sewage and MSW

PH Brunner 1324CTCI at NTU October 5 2009

14

Contribution of various sectors to the nu-trients in the river Danube watershed

Scale from human to household to regional to national to watershedhellip

Nitrogen825 kta

Ismail

Tirgu Mures

Kosice

Klagenfurt

Insbruck

Gyor

Szombathely

Cluj-Napoca

BrasovGalat

Iasi

Tchernovte

Miskolc

Debrecen

Oradea

Arad

Szeged

Pecs

Zagreb

Ljubljana

Bratislava

Brno

Linz

Regensburg

Augsburg

Munchen

Szekesfehervar

Graz

Salzburg

Budapest

Wien

Praha

Trnava

Nitra

Trencin

Prievidza Banska Bystrica

Zilina

Martin

Prasov

Levice

PiestanyTopolcany

Povazska BystricaLiptovsky Mikulas

Zvolen

Spisska Nova Ves

Bardejov

Humenne

Michalovce

Komarno

u61

u62

u59

u48

u58

u57

u56

u55

u47

u46

u45 u71

u54

u53

u52

u44 u50

u49 u65

u70

u69

u66

u67

u64BeregovoVinogradov

Vilok

Khust

Irshava

MezhgorieSvalyava

VishkovoTyachev

Chop

Solotvina VBychkov

Rakhov

Dybovoe

Kolomia

Yaremcha

Kosov

Snyatin

Storozhinets

Mukachevo

Uzhgorod

CM4

CM7

CM43

CM30

CM36CM38

CM34CM18

CM29

CM31CM22

CM35

CM9

CM26

CM23

CM2

CM5

CM0

CM17

CM28

CM33

CM32

CM8 CM25

CM14CM11

CM23CM46

CM21CM45

CM40

CM44CM13CM42CM27CM39

CM6CM41

CM19

CM15CM20

CM10

CM3

CS3545

CS3639CS1132

CS1133

CS1134CS1171

CS3670

CS1169

CS1135

CS1174

CS1139

CS1140CS1195

CS1188

CS1187

CS1186

CS1194CM1191

CS3742 CS1181

CS1179

CS1184

CS1176

Kranj

Maribor

Celje

Jesenice

Skofja LokaDomzale Trbovlje

Velenje

Novo Mesto

Ptuj

Murska Sobota

S1

S2

S3

S4S5S6

S7

S8

S9 S10

S11 S12

S13

m1

m2

m3m4

m5

m6

m7

m8

m9

m10

m11

m12

m13

m14

m15

Bziceni

Ocnita

Edinet

Geodeni

Falesti

Ungheni

Nisporeni

Carpineni

Leova

Comrat

Congaz

Ciadiz-Lunga

Taraclia

Vulcanesti

Cahul

BenderTiraspol

Belti

Kishinev

A326A323

A322

A324

A321

A522

A521

A721

A723

A724

A621

A821A923

A924

A1024

A921A922A1023

A1025

A1026

A1021

A1121

A1022A1031A1029

A1028A1027

A1030

A1032A1221

A1321

A1428

A1414A1427

A1424A1422

A1421

A1426A1425

A1528A1524A1526

A1527A1525

A1523

A1522

A1521

A422

A423

A722

A421

A1222

A73100007

A73200417A73200617

A73300407

A75000987

A40502037

A40502017

A4041017

A54110127A5411057

A54110017

A51210147A73390966

A40607017

A40607027

A40709117

A40709077

A40709067

A40709047

A40709037

A40709027

A40710027A40710017

A40907037

A40814047 A30900057

A30900047

A30900027

A30900017

A92001017

A31000017A31000027

A31100047

A31100057

A31100037

A31200037

A10000077

A10000027

A10000107A10000097

A10000087

A61400147A61400137

A61400127

A61400117

A61400107

A61400087A61400157

A21560297A21500087A21551267

A21551257

A21500057A21530157

A21500047

A21500027

A21510107A71560907

BUDAPEST1

BUDAPEST2

BUDAPEST3

DEBRECEN

MISKOLC

SZEGED

PECS

GYOR

NYIREGYHAZA1NYIREGYHAZA2

SZEKESFEHERVAR

KECSKEM ET

SZOMBATHELYSZOLNOK

TATABANYA

KAPOSVAR

BEKESCSABA

VESZPREM

ZALAEGERSZEG

EGER

DUNAUJVAROS

SOPRON

NAGYKANIZSA HODMEZOVASARHELY

ERD

SALGOTARJAN

OZD

BAJA

CEGLED

SZEKSZARD

KAZINCBARCIKA

GYONGYOS

PAPA

VAC

GYULA

AJKA

KISKUNFELEGYHAZASZENTES

HAJDUBOSZORM ENY

MOSONMAGYAROVAR1MOSONMAGYAROVAR2

GODOLLO

JASZBERENY

ESZTERGOM

KOMLO

OROSHAZA

DUNAKESZI

NAGYKOROS

VARPALOTA

MAKO

TATA HATVAN

TOROKSZENTMIKLOS

HAJDUSZOBOSZLO

KARCAG

BEKES

BUDAORSOROSZLANY

SZENTENDRE

SZIGETSZENTMIKLOS

DOMBOVAR

MOHACS

KOMAROM

PAKS

MEZOTUR

CSONGRAD

HAJDUNANAS

MONOR

TAPOLCA

GYAL

SZARVAS

MATESZALKA

BALMAZUJVAROS

BALASSAGYARMAT

SATORALJAUJHELY

TISZAUJVAROS

KALOCSA

VECSES

KISVARDA

MEZOKOVESD

SZAZHALOMBATTA BERETTYOUJFALU

GYOMAENDROD

SARVAR

ABONY

BATONYTERENYE

DUNAHARASZTI

DABAS

SAROSPATAK

BONYHAD

MOR

FOT TISZAFURED

TISZAVASVARI

GOD

SAJOSZENTPETER

SARBOGARD

NYIRBATOR

PUSPOKLADANY

DOROG

KISUJSZALLAS

POMAZ

KORMEND

HAJDUHADHAZ

MARCALI

NAGYATAD

BARCS

GYOMRO

TOLNA

NAGYKATA

CELLDOMOLK

PILISVOROSVAR

KOSZEG

TISZAKECSKE

BUDAKESZI

HEVES

TISZAFOLDVAR

MEZOBERENY

BICSKE

SZIGETVAR

PECEL

SARKAD

LAJOSMIZSE

KAPUVARCSORNA

ALBERTIRSA

SIKLOS

PASZTO

TURKEVE

SZERENCS

KUNSZENTMARTON

EDELENY

UJFEHERTO

SZIGETHALOM

SZEGHALOM

BUDAPEST CANNING-BREWERYBUDAPESTPAPER

TISZAUJVAROS CHEMICAL

KAZINCBARCIKA CHEMICAL

DUNAUJVAROS PAPERDUNAUJVAROS METALLURGICAL

ALMASFUZITO CHEMICALLABATLAN PAPER

MARCALI LEATHER

BALATONFUZFO CHEMICAL

PET CHEMICAL

PECS LEATHER

01FF01

01FF0201FF07 01FF04

02FF51

02FF02

02FF32

03FF06

03FF05

03FF07

03FF01

01FF13

01FF11

01FF22

01FF12

02FF17

02FF03

06FF27

04FF11

04FF14

02FF12

01FF62

01FF40

01FF38

06FF23

07FF01

07FF04

07FF05

08FF02

08FF04

10FF02

10FF04

10FF12

10FF14

11FF11

11FF12

07FF10

07FF11

07FF29

08FF07

09FF0308FF15

10FF22

11FF63

11FF32

CID

CIC

CIBCIE

CIA

BUDAORS CHEMICAL

CM12CM47

PECS LEATHER

A711A713A712

A311

A411

A1111

A1112

A1012

A1413A1411

A1414

A1412

A1416

A1311

A1313

A1312

A913

A912

A612

A611 A911

BUDAORS CHEMICAL

PET CHEMICAL

BALATONFUZFO CHEMICAL

MARCALI LEATHER

DUNAUJVAROS PAPER

CIECIB

CIA

CID

CIC

TISZAUJVAROS CHEMICAL

KAZINCBARCIKA CHEMICAL

agriculture

WWTP

others

others s a

Novi Sad

Osijek

Nis

Rijeka

Split

Constanca

Varna

Craiova

Ploesti

Braila

Sarajevo

Sofia

Bucuresti

Beograd

BM3

BM9

BM1

BM4

BM8

BM25

BM5BM2

BM38

BM16

BM35

BM36

BM37

BM22BM23

BM15

BM19

BM10

BM14

BM18

BM21

BM12

BM24

BM11BM17

BM28

BM26 BM29

BM32

BM31

BM27

BM33

BM13

BM34

BI1

BI2

BI3

BI4

BI5

BI9

BS334 BS147

BS336

BS17

BS335

BS337

BS175BS18

BS342

BS346

BS345

BS344

BS178

BS339

BS27

BS348

BS32

BS197

BS37

BS30

BS191BS29

BS190BS28

BS189

BS25

BS355

BS40

BS39

BS201

BS33

BS352

BS198BS194

BS199

BS198

BS45

BS206

BS44

BS43

BS42

BS205BS206

BS51

BS360BS358

BS53

BSBS4

BS220BS270

BS49BS216

BS210

BS209

BS208

BS234

BS232BS364

BS363

BS56

BS230231BS229

BS55BS228

BS361

BS182

BS347

05FF18

BI4

BI1

BI3

BI2

BI5

BI9

Phosphorus105 kta

agricultureWWTP

others

PH Brunner 1424CTCI at NTU October 5 2009

A direct and indirect inputs of animal waste productsB erosion and leachingC direct flows from private households and industryD diffuse inputs from forestry (erosion percolation)

15

MFA for environmental protection and resources management

1st generation MFA Environmental protection

bull DDT

bull CFCs

bull PCBs NP etc

bull C -gt CO2 and CH42 4

PH Brunner 1524CTCI at NTU October 5 2009

16

MFA for greenhouse gas emission assessment

CO2 from hellip sources

fossil biogenic

f ilbiogenic

Energy from hellip sources

PH Brunner 1624CTCI at NTU October 5 2009

fossil

17

Concept of Balance Method

Material data of waste inputBiogenic matter C H O N S Cl

Fossil matter C H O N S Cl

800

Fossil matter C H O N S Cl

Balance equations

mI

c m + c m

mB + mF + mI + mw

= awaste

= 1

mI

c m + c m

mB + mF + mI + mw

= awaste

= 1

0

200

400

600

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

kg CO2 foss t waste

Revision of plant

cB mB + cF mF

HVB mB + HVF mF -245mW

dO2-CO2 mB + dO2-CO2 mF

= cwaste

= HVwaste

= dO2-CO2waste

O2CB mB + O2

CF mF = O2

Cwaste

cB mB + cF mF

HVB mB + HVF mF -245mW

dO2-CO2 mB + dO2-CO2 mF

= cwaste

= HVwaste

= dO2-CO2waste

O2CB mB + O2

CF mF = O2

Cwaste

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

30

40

50

60

70

80

90

100

o o

f energ

y fr

om

enic

sourc

es [

]

Line 1

Line 2

30

40

50

60

70

80

90

100

o o

f energ

y fr

om

enic

sourc

es [

]

Line 1

Line 2

PH Brunner 1724CTCI at NTU October 5 2009

Operating data from WTE plantWaste input flue gas volume

CO2 O2 steam production0

10

20

30

010707 010807 010907 011007

Rati

obio

ge

0

10

20

30

010707 010807 010907 011007

Rati

obio

ge

18

Balance Equation

mB + mF + mI + mw = 1Mass balance

mI

cB mB + cF mF

HV HV 2 45

= awaste

= cwaste

ldquoAshrdquo-balance

Carbon-balance

HVB mB + HVF mF -245mW

dO2-CO2 mB + dO2-CO2 mF

= HVwaste

= dO CO t

Energy-balance

Difference of d

O2-consumption O2CB mB + O2

CF mF = O2

Cwaste

PH Brunner 1824CTCI at NTU October 5 2009

dO2-CO2 B dO2-CO2 F = dO2-CO2wasteO2-cons +CO2-prod

Derived from operating dataCoefficients (given by the chemical composition of

biogenic and fossil matter)

19

Results (annual values)

CO2 - Emissions Fraction of fossil CO2 emissions []CO2 Emissions

819 plusmn39727 plusmn31

60 000

80000

100000

ssio

ns

sye

ar]

40

50

60

702 []

Radiocarbon methodBalance method

0

20000

40000

60000

CO

2-E

mi

[kilo

ton

s

bi i f il

529 471

0

10

20

30

PH Brunner 1924CTCI at NTU October 5 2009Johann Fellner

biogenic fossil

20

MFA for environmental protection and resources management

1st generation MFA Environmental protection

bull DDT

bull CFCs

bull PCBs NP etc

bull C -gt CO2 and CH42 4

2nd generation Resource management

bull Regional nutrient flows -gt integrated P management

bull Regional and global metal flows and stocks (Graedel)

PH Brunner 2024CTCI at NTU October 5 2009

bull Regional and global metal flows and stocks (Graedel)

-gt future metal management

21

Copper management based on MFA

11000 11500 3800

54011000

300000+7700

productscathodiccopper

Cu scrap III

680

Cu scrap II

waste

lOre

useWaste

management

54

1400Cu scrap I

11000 11500copper

production

2Copper

manufacturing

3

580000-11000

85000+3100

1700

Waste to landfill

1200waste

150slagOre

1 6Lithosphere landfill

flows 1000 tastocks 1000 t

PH Brunner 2124CTCI at NTU October 5 2009

source Graedel et al 2002 and Rechberger

World 1994rdquo

22

Application of MFA for governance in waste management

Goal improve waste management practice

step 1 professional MFA standard OumlWAV guideline (consensus)

step 2 Austrian Standard ONORM S 2096 ldquoMFA- Application in

waste managementrdquo

step 3 easy to use software STAN (freeware) for MFA in wm

step 4 mandatory MFA requirement for certified MSW companies

step 5 routine waste analysis by MFA on selected MSW incinerators

step 6 Link all relevant information for a new knowledge base (eg

PH Brunner 2224CTCI at NTU October 5 2009

for national waste management plan)

23

Conclusions

Objective - sustainable resource use

long term en ironmental protection- long-term environmental protection

MFA is instrumental for this objective because

bull it is a rigid transparent and objectiv method to model andvisualize material flows including uncertainty

bull It facilitates understanding and public acceptance of decisions

bull It is a key decision support tool for resource management environmental management and waste management

bull It is indispensable to establish knowledge bases for em rm andwm

PH Brunner 2324CTCI at NTU October 5 2009

wm

bull It needs to be standardized in order to fully exploit its potential

24

ThankThank youyou

PH Brunner 2424CTCI at NTU October 5 2009

12

Scale from human to household to regional tohellip

atmosphere

flow = 230 ta export = 170 ta

meat milk eggsphosphorous [ta]

stock 10000 + 70 ta

agr soil

plantcultivation

fertilicer

animal feedstockanimals

meat milk eggs

cerealsvegetables fruits

10 000+68

30

24

85

3

13

45 100109

17

78

phosphorous [ta]

wwtplandfill

surface waterriver

food

surface water

74

13

19

17

38

28

PH Brunner 1224CTCI at NTU October 5 2009

industryprivate hh

industrial products

sewer

cleaners foodgt4017 17 21

gt61

38

13

Scale from human to household to regional to national tohellip

[kgca]

5 1 04agriculturefood

processingprivate

household

systems boundaries region1year

4 06 04

agricultural lossesand wastes

food processingwastes

sewage and MSW

PH Brunner 1324CTCI at NTU October 5 2009

14

Contribution of various sectors to the nu-trients in the river Danube watershed

Scale from human to household to regional to national to watershedhellip

Nitrogen825 kta

Ismail

Tirgu Mures

Kosice

Klagenfurt

Insbruck

Gyor

Szombathely

Cluj-Napoca

BrasovGalat

Iasi

Tchernovte

Miskolc

Debrecen

Oradea

Arad

Szeged

Pecs

Zagreb

Ljubljana

Bratislava

Brno

Linz

Regensburg

Augsburg

Munchen

Szekesfehervar

Graz

Salzburg

Budapest

Wien

Praha

Trnava

Nitra

Trencin

Prievidza Banska Bystrica

Zilina

Martin

Prasov

Levice

PiestanyTopolcany

Povazska BystricaLiptovsky Mikulas

Zvolen

Spisska Nova Ves

Bardejov

Humenne

Michalovce

Komarno

u61

u62

u59

u48

u58

u57

u56

u55

u47

u46

u45 u71

u54

u53

u52

u44 u50

u49 u65

u70

u69

u66

u67

u64BeregovoVinogradov

Vilok

Khust

Irshava

MezhgorieSvalyava

VishkovoTyachev

Chop

Solotvina VBychkov

Rakhov

Dybovoe

Kolomia

Yaremcha

Kosov

Snyatin

Storozhinets

Mukachevo

Uzhgorod

CM4

CM7

CM43

CM30

CM36CM38

CM34CM18

CM29

CM31CM22

CM35

CM9

CM26

CM23

CM2

CM5

CM0

CM17

CM28

CM33

CM32

CM8 CM25

CM14CM11

CM23CM46

CM21CM45

CM40

CM44CM13CM42CM27CM39

CM6CM41

CM19

CM15CM20

CM10

CM3

CS3545

CS3639CS1132

CS1133

CS1134CS1171

CS3670

CS1169

CS1135

CS1174

CS1139

CS1140CS1195

CS1188

CS1187

CS1186

CS1194CM1191

CS3742 CS1181

CS1179

CS1184

CS1176

Kranj

Maribor

Celje

Jesenice

Skofja LokaDomzale Trbovlje

Velenje

Novo Mesto

Ptuj

Murska Sobota

S1

S2

S3

S4S5S6

S7

S8

S9 S10

S11 S12

S13

m1

m2

m3m4

m5

m6

m7

m8

m9

m10

m11

m12

m13

m14

m15

Bziceni

Ocnita

Edinet

Geodeni

Falesti

Ungheni

Nisporeni

Carpineni

Leova

Comrat

Congaz

Ciadiz-Lunga

Taraclia

Vulcanesti

Cahul

BenderTiraspol

Belti

Kishinev

A326A323

A322

A324

A321

A522

A521

A721

A723

A724

A621

A821A923

A924

A1024

A921A922A1023

A1025

A1026

A1021

A1121

A1022A1031A1029

A1028A1027

A1030

A1032A1221

A1321

A1428

A1414A1427

A1424A1422

A1421

A1426A1425

A1528A1524A1526

A1527A1525

A1523

A1522

A1521

A422

A423

A722

A421

A1222

A73100007

A73200417A73200617

A73300407

A75000987

A40502037

A40502017

A4041017

A54110127A5411057

A54110017

A51210147A73390966

A40607017

A40607027

A40709117

A40709077

A40709067

A40709047

A40709037

A40709027

A40710027A40710017

A40907037

A40814047 A30900057

A30900047

A30900027

A30900017

A92001017

A31000017A31000027

A31100047

A31100057

A31100037

A31200037

A10000077

A10000027

A10000107A10000097

A10000087

A61400147A61400137

A61400127

A61400117

A61400107

A61400087A61400157

A21560297A21500087A21551267

A21551257

A21500057A21530157

A21500047

A21500027

A21510107A71560907

BUDAPEST1

BUDAPEST2

BUDAPEST3

DEBRECEN

MISKOLC

SZEGED

PECS

GYOR

NYIREGYHAZA1NYIREGYHAZA2

SZEKESFEHERVAR

KECSKEM ET

SZOMBATHELYSZOLNOK

TATABANYA

KAPOSVAR

BEKESCSABA

VESZPREM

ZALAEGERSZEG

EGER

DUNAUJVAROS

SOPRON

NAGYKANIZSA HODMEZOVASARHELY

ERD

SALGOTARJAN

OZD

BAJA

CEGLED

SZEKSZARD

KAZINCBARCIKA

GYONGYOS

PAPA

VAC

GYULA

AJKA

KISKUNFELEGYHAZASZENTES

HAJDUBOSZORM ENY

MOSONMAGYAROVAR1MOSONMAGYAROVAR2

GODOLLO

JASZBERENY

ESZTERGOM

KOMLO

OROSHAZA

DUNAKESZI

NAGYKOROS

VARPALOTA

MAKO

TATA HATVAN

TOROKSZENTMIKLOS

HAJDUSZOBOSZLO

KARCAG

BEKES

BUDAORSOROSZLANY

SZENTENDRE

SZIGETSZENTMIKLOS

DOMBOVAR

MOHACS

KOMAROM

PAKS

MEZOTUR

CSONGRAD

HAJDUNANAS

MONOR

TAPOLCA

GYAL

SZARVAS

MATESZALKA

BALMAZUJVAROS

BALASSAGYARMAT

SATORALJAUJHELY

TISZAUJVAROS

KALOCSA

VECSES

KISVARDA

MEZOKOVESD

SZAZHALOMBATTA BERETTYOUJFALU

GYOMAENDROD

SARVAR

ABONY

BATONYTERENYE

DUNAHARASZTI

DABAS

SAROSPATAK

BONYHAD

MOR

FOT TISZAFURED

TISZAVASVARI

GOD

SAJOSZENTPETER

SARBOGARD

NYIRBATOR

PUSPOKLADANY

DOROG

KISUJSZALLAS

POMAZ

KORMEND

HAJDUHADHAZ

MARCALI

NAGYATAD

BARCS

GYOMRO

TOLNA

NAGYKATA

CELLDOMOLK

PILISVOROSVAR

KOSZEG

TISZAKECSKE

BUDAKESZI

HEVES

TISZAFOLDVAR

MEZOBERENY

BICSKE

SZIGETVAR

PECEL

SARKAD

LAJOSMIZSE

KAPUVARCSORNA

ALBERTIRSA

SIKLOS

PASZTO

TURKEVE

SZERENCS

KUNSZENTMARTON

EDELENY

UJFEHERTO

SZIGETHALOM

SZEGHALOM

BUDAPEST CANNING-BREWERYBUDAPESTPAPER

TISZAUJVAROS CHEMICAL

KAZINCBARCIKA CHEMICAL

DUNAUJVAROS PAPERDUNAUJVAROS METALLURGICAL

ALMASFUZITO CHEMICALLABATLAN PAPER

MARCALI LEATHER

BALATONFUZFO CHEMICAL

PET CHEMICAL

PECS LEATHER

01FF01

01FF0201FF07 01FF04

02FF51

02FF02

02FF32

03FF06

03FF05

03FF07

03FF01

01FF13

01FF11

01FF22

01FF12

02FF17

02FF03

06FF27

04FF11

04FF14

02FF12

01FF62

01FF40

01FF38

06FF23

07FF01

07FF04

07FF05

08FF02

08FF04

10FF02

10FF04

10FF12

10FF14

11FF11

11FF12

07FF10

07FF11

07FF29

08FF07

09FF0308FF15

10FF22

11FF63

11FF32

CID

CIC

CIBCIE

CIA

BUDAORS CHEMICAL

CM12CM47

PECS LEATHER

A711A713A712

A311

A411

A1111

A1112

A1012

A1413A1411

A1414

A1412

A1416

A1311

A1313

A1312

A913

A912

A612

A611 A911

BUDAORS CHEMICAL

PET CHEMICAL

BALATONFUZFO CHEMICAL

MARCALI LEATHER

DUNAUJVAROS PAPER

CIECIB

CIA

CID

CIC

TISZAUJVAROS CHEMICAL

KAZINCBARCIKA CHEMICAL

agriculture

WWTP

others

others s a

Novi Sad

Osijek

Nis

Rijeka

Split

Constanca

Varna

Craiova

Ploesti

Braila

Sarajevo

Sofia

Bucuresti

Beograd

BM3

BM9

BM1

BM4

BM8

BM25

BM5BM2

BM38

BM16

BM35

BM36

BM37

BM22BM23

BM15

BM19

BM10

BM14

BM18

BM21

BM12

BM24

BM11BM17

BM28

BM26 BM29

BM32

BM31

BM27

BM33

BM13

BM34

BI1

BI2

BI3

BI4

BI5

BI9

BS334 BS147

BS336

BS17

BS335

BS337

BS175BS18

BS342

BS346

BS345

BS344

BS178

BS339

BS27

BS348

BS32

BS197

BS37

BS30

BS191BS29

BS190BS28

BS189

BS25

BS355

BS40

BS39

BS201

BS33

BS352

BS198BS194

BS199

BS198

BS45

BS206

BS44

BS43

BS42

BS205BS206

BS51

BS360BS358

BS53

BSBS4

BS220BS270

BS49BS216

BS210

BS209

BS208

BS234

BS232BS364

BS363

BS56

BS230231BS229

BS55BS228

BS361

BS182

BS347

05FF18

BI4

BI1

BI3

BI2

BI5

BI9

Phosphorus105 kta

agricultureWWTP

others

PH Brunner 1424CTCI at NTU October 5 2009

A direct and indirect inputs of animal waste productsB erosion and leachingC direct flows from private households and industryD diffuse inputs from forestry (erosion percolation)

15

MFA for environmental protection and resources management

1st generation MFA Environmental protection

bull DDT

bull CFCs

bull PCBs NP etc

bull C -gt CO2 and CH42 4

PH Brunner 1524CTCI at NTU October 5 2009

16

MFA for greenhouse gas emission assessment

CO2 from hellip sources

fossil biogenic

f ilbiogenic

Energy from hellip sources

PH Brunner 1624CTCI at NTU October 5 2009

fossil

17

Concept of Balance Method

Material data of waste inputBiogenic matter C H O N S Cl

Fossil matter C H O N S Cl

800

Fossil matter C H O N S Cl

Balance equations

mI

c m + c m

mB + mF + mI + mw

= awaste

= 1

mI

c m + c m

mB + mF + mI + mw

= awaste

= 1

0

200

400

600

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

kg CO2 foss t waste

Revision of plant

cB mB + cF mF

HVB mB + HVF mF -245mW

dO2-CO2 mB + dO2-CO2 mF

= cwaste

= HVwaste

= dO2-CO2waste

O2CB mB + O2

CF mF = O2

Cwaste

cB mB + cF mF

HVB mB + HVF mF -245mW

dO2-CO2 mB + dO2-CO2 mF

= cwaste

= HVwaste

= dO2-CO2waste

O2CB mB + O2

CF mF = O2

Cwaste

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

30

40

50

60

70

80

90

100

o o

f energ

y fr

om

enic

sourc

es [

]

Line 1

Line 2

30

40

50

60

70

80

90

100

o o

f energ

y fr

om

enic

sourc

es [

]

Line 1

Line 2

PH Brunner 1724CTCI at NTU October 5 2009

Operating data from WTE plantWaste input flue gas volume

CO2 O2 steam production0

10

20

30

010707 010807 010907 011007

Rati

obio

ge

0

10

20

30

010707 010807 010907 011007

Rati

obio

ge

18

Balance Equation

mB + mF + mI + mw = 1Mass balance

mI

cB mB + cF mF

HV HV 2 45

= awaste

= cwaste

ldquoAshrdquo-balance

Carbon-balance

HVB mB + HVF mF -245mW

dO2-CO2 mB + dO2-CO2 mF

= HVwaste

= dO CO t

Energy-balance

Difference of d

O2-consumption O2CB mB + O2

CF mF = O2

Cwaste

PH Brunner 1824CTCI at NTU October 5 2009

dO2-CO2 B dO2-CO2 F = dO2-CO2wasteO2-cons +CO2-prod

Derived from operating dataCoefficients (given by the chemical composition of

biogenic and fossil matter)

19

Results (annual values)

CO2 - Emissions Fraction of fossil CO2 emissions []CO2 Emissions

819 plusmn39727 plusmn31

60 000

80000

100000

ssio

ns

sye

ar]

40

50

60

702 []

Radiocarbon methodBalance method

0

20000

40000

60000

CO

2-E

mi

[kilo

ton

s

bi i f il

529 471

0

10

20

30

PH Brunner 1924CTCI at NTU October 5 2009Johann Fellner

biogenic fossil

20

MFA for environmental protection and resources management

1st generation MFA Environmental protection

bull DDT

bull CFCs

bull PCBs NP etc

bull C -gt CO2 and CH42 4

2nd generation Resource management

bull Regional nutrient flows -gt integrated P management

bull Regional and global metal flows and stocks (Graedel)

PH Brunner 2024CTCI at NTU October 5 2009

bull Regional and global metal flows and stocks (Graedel)

-gt future metal management

21

Copper management based on MFA

11000 11500 3800

54011000

300000+7700

productscathodiccopper

Cu scrap III

680

Cu scrap II

waste

lOre

useWaste

management

54

1400Cu scrap I

11000 11500copper

production

2Copper

manufacturing

3

580000-11000

85000+3100

1700

Waste to landfill

1200waste

150slagOre

1 6Lithosphere landfill

flows 1000 tastocks 1000 t

PH Brunner 2124CTCI at NTU October 5 2009

source Graedel et al 2002 and Rechberger

World 1994rdquo

22

Application of MFA for governance in waste management

Goal improve waste management practice

step 1 professional MFA standard OumlWAV guideline (consensus)

step 2 Austrian Standard ONORM S 2096 ldquoMFA- Application in

waste managementrdquo

step 3 easy to use software STAN (freeware) for MFA in wm

step 4 mandatory MFA requirement for certified MSW companies

step 5 routine waste analysis by MFA on selected MSW incinerators

step 6 Link all relevant information for a new knowledge base (eg

PH Brunner 2224CTCI at NTU October 5 2009

for national waste management plan)

23

Conclusions

Objective - sustainable resource use

long term en ironmental protection- long-term environmental protection

MFA is instrumental for this objective because

bull it is a rigid transparent and objectiv method to model andvisualize material flows including uncertainty

bull It facilitates understanding and public acceptance of decisions

bull It is a key decision support tool for resource management environmental management and waste management

bull It is indispensable to establish knowledge bases for em rm andwm

PH Brunner 2324CTCI at NTU October 5 2009

wm

bull It needs to be standardized in order to fully exploit its potential

24

ThankThank youyou

PH Brunner 2424CTCI at NTU October 5 2009

13

Scale from human to household to regional to national tohellip

[kgca]

5 1 04agriculturefood

processingprivate

household

systems boundaries region1year

4 06 04

agricultural lossesand wastes

food processingwastes

sewage and MSW

PH Brunner 1324CTCI at NTU October 5 2009

14

Contribution of various sectors to the nu-trients in the river Danube watershed

Scale from human to household to regional to national to watershedhellip

Nitrogen825 kta

Ismail

Tirgu Mures

Kosice

Klagenfurt

Insbruck

Gyor

Szombathely

Cluj-Napoca

BrasovGalat

Iasi

Tchernovte

Miskolc

Debrecen

Oradea

Arad

Szeged

Pecs

Zagreb

Ljubljana

Bratislava

Brno

Linz

Regensburg

Augsburg

Munchen

Szekesfehervar

Graz

Salzburg

Budapest

Wien

Praha

Trnava

Nitra

Trencin

Prievidza Banska Bystrica

Zilina

Martin

Prasov

Levice

PiestanyTopolcany

Povazska BystricaLiptovsky Mikulas

Zvolen

Spisska Nova Ves

Bardejov

Humenne

Michalovce

Komarno

u61

u62

u59

u48

u58

u57

u56

u55

u47

u46

u45 u71

u54

u53

u52

u44 u50

u49 u65

u70

u69

u66

u67

u64BeregovoVinogradov

Vilok

Khust

Irshava

MezhgorieSvalyava

VishkovoTyachev

Chop

Solotvina VBychkov

Rakhov

Dybovoe

Kolomia

Yaremcha

Kosov

Snyatin

Storozhinets

Mukachevo

Uzhgorod

CM4

CM7

CM43

CM30

CM36CM38

CM34CM18

CM29

CM31CM22

CM35

CM9

CM26

CM23

CM2

CM5

CM0

CM17

CM28

CM33

CM32

CM8 CM25

CM14CM11

CM23CM46

CM21CM45

CM40

CM44CM13CM42CM27CM39

CM6CM41

CM19

CM15CM20

CM10

CM3

CS3545

CS3639CS1132

CS1133

CS1134CS1171

CS3670

CS1169

CS1135

CS1174

CS1139

CS1140CS1195

CS1188

CS1187

CS1186

CS1194CM1191

CS3742 CS1181

CS1179

CS1184

CS1176

Kranj

Maribor

Celje

Jesenice

Skofja LokaDomzale Trbovlje

Velenje

Novo Mesto

Ptuj

Murska Sobota

S1

S2

S3

S4S5S6

S7

S8

S9 S10

S11 S12

S13

m1

m2

m3m4

m5

m6

m7

m8

m9

m10

m11

m12

m13

m14

m15

Bziceni

Ocnita

Edinet

Geodeni

Falesti

Ungheni

Nisporeni

Carpineni

Leova

Comrat

Congaz

Ciadiz-Lunga

Taraclia

Vulcanesti

Cahul

BenderTiraspol

Belti

Kishinev

A326A323

A322

A324

A321

A522

A521

A721

A723

A724

A621

A821A923

A924

A1024

A921A922A1023

A1025

A1026

A1021

A1121

A1022A1031A1029

A1028A1027

A1030

A1032A1221

A1321

A1428

A1414A1427

A1424A1422

A1421

A1426A1425

A1528A1524A1526

A1527A1525

A1523

A1522

A1521

A422

A423

A722

A421

A1222

A73100007

A73200417A73200617

A73300407

A75000987

A40502037

A40502017

A4041017

A54110127A5411057

A54110017

A51210147A73390966

A40607017

A40607027

A40709117

A40709077

A40709067

A40709047

A40709037

A40709027

A40710027A40710017

A40907037

A40814047 A30900057

A30900047

A30900027

A30900017

A92001017

A31000017A31000027

A31100047

A31100057

A31100037

A31200037

A10000077

A10000027

A10000107A10000097

A10000087

A61400147A61400137

A61400127

A61400117

A61400107

A61400087A61400157

A21560297A21500087A21551267

A21551257

A21500057A21530157

A21500047

A21500027

A21510107A71560907

BUDAPEST1

BUDAPEST2

BUDAPEST3

DEBRECEN

MISKOLC

SZEGED

PECS

GYOR

NYIREGYHAZA1NYIREGYHAZA2

SZEKESFEHERVAR

KECSKEM ET

SZOMBATHELYSZOLNOK

TATABANYA

KAPOSVAR

BEKESCSABA

VESZPREM

ZALAEGERSZEG

EGER

DUNAUJVAROS

SOPRON

NAGYKANIZSA HODMEZOVASARHELY

ERD

SALGOTARJAN

OZD

BAJA

CEGLED

SZEKSZARD

KAZINCBARCIKA

GYONGYOS

PAPA

VAC

GYULA

AJKA

KISKUNFELEGYHAZASZENTES

HAJDUBOSZORM ENY

MOSONMAGYAROVAR1MOSONMAGYAROVAR2

GODOLLO

JASZBERENY

ESZTERGOM

KOMLO

OROSHAZA

DUNAKESZI

NAGYKOROS

VARPALOTA

MAKO

TATA HATVAN

TOROKSZENTMIKLOS

HAJDUSZOBOSZLO

KARCAG

BEKES

BUDAORSOROSZLANY

SZENTENDRE

SZIGETSZENTMIKLOS

DOMBOVAR

MOHACS

KOMAROM

PAKS

MEZOTUR

CSONGRAD

HAJDUNANAS

MONOR

TAPOLCA

GYAL

SZARVAS

MATESZALKA

BALMAZUJVAROS

BALASSAGYARMAT

SATORALJAUJHELY

TISZAUJVAROS

KALOCSA

VECSES

KISVARDA

MEZOKOVESD

SZAZHALOMBATTA BERETTYOUJFALU

GYOMAENDROD

SARVAR

ABONY

BATONYTERENYE

DUNAHARASZTI

DABAS

SAROSPATAK

BONYHAD

MOR

FOT TISZAFURED

TISZAVASVARI

GOD

SAJOSZENTPETER

SARBOGARD

NYIRBATOR

PUSPOKLADANY

DOROG

KISUJSZALLAS

POMAZ

KORMEND

HAJDUHADHAZ

MARCALI

NAGYATAD

BARCS

GYOMRO

TOLNA

NAGYKATA

CELLDOMOLK

PILISVOROSVAR

KOSZEG

TISZAKECSKE

BUDAKESZI

HEVES

TISZAFOLDVAR

MEZOBERENY

BICSKE

SZIGETVAR

PECEL

SARKAD

LAJOSMIZSE

KAPUVARCSORNA

ALBERTIRSA

SIKLOS

PASZTO

TURKEVE

SZERENCS

KUNSZENTMARTON

EDELENY

UJFEHERTO

SZIGETHALOM

SZEGHALOM

BUDAPEST CANNING-BREWERYBUDAPESTPAPER

TISZAUJVAROS CHEMICAL

KAZINCBARCIKA CHEMICAL

DUNAUJVAROS PAPERDUNAUJVAROS METALLURGICAL

ALMASFUZITO CHEMICALLABATLAN PAPER

MARCALI LEATHER

BALATONFUZFO CHEMICAL

PET CHEMICAL

PECS LEATHER

01FF01

01FF0201FF07 01FF04

02FF51

02FF02

02FF32

03FF06

03FF05

03FF07

03FF01

01FF13

01FF11

01FF22

01FF12

02FF17

02FF03

06FF27

04FF11

04FF14

02FF12

01FF62

01FF40

01FF38

06FF23

07FF01

07FF04

07FF05

08FF02

08FF04

10FF02

10FF04

10FF12

10FF14

11FF11

11FF12

07FF10

07FF11

07FF29

08FF07

09FF0308FF15

10FF22

11FF63

11FF32

CID

CIC

CIBCIE

CIA

BUDAORS CHEMICAL

CM12CM47

PECS LEATHER

A711A713A712

A311

A411

A1111

A1112

A1012

A1413A1411

A1414

A1412

A1416

A1311

A1313

A1312

A913

A912

A612

A611 A911

BUDAORS CHEMICAL

PET CHEMICAL

BALATONFUZFO CHEMICAL

MARCALI LEATHER

DUNAUJVAROS PAPER

CIECIB

CIA

CID

CIC

TISZAUJVAROS CHEMICAL

KAZINCBARCIKA CHEMICAL

agriculture

WWTP

others

others s a

Novi Sad

Osijek

Nis

Rijeka

Split

Constanca

Varna

Craiova

Ploesti

Braila

Sarajevo

Sofia

Bucuresti

Beograd

BM3

BM9

BM1

BM4

BM8

BM25

BM5BM2

BM38

BM16

BM35

BM36

BM37

BM22BM23

BM15

BM19

BM10

BM14

BM18

BM21

BM12

BM24

BM11BM17

BM28

BM26 BM29

BM32

BM31

BM27

BM33

BM13

BM34

BI1

BI2

BI3

BI4

BI5

BI9

BS334 BS147

BS336

BS17

BS335

BS337

BS175BS18

BS342

BS346

BS345

BS344

BS178

BS339

BS27

BS348

BS32

BS197

BS37

BS30

BS191BS29

BS190BS28

BS189

BS25

BS355

BS40

BS39

BS201

BS33

BS352

BS198BS194

BS199

BS198

BS45

BS206

BS44

BS43

BS42

BS205BS206

BS51

BS360BS358

BS53

BSBS4

BS220BS270

BS49BS216

BS210

BS209

BS208

BS234

BS232BS364

BS363

BS56

BS230231BS229

BS55BS228

BS361

BS182

BS347

05FF18

BI4

BI1

BI3

BI2

BI5

BI9

Phosphorus105 kta

agricultureWWTP

others

PH Brunner 1424CTCI at NTU October 5 2009

A direct and indirect inputs of animal waste productsB erosion and leachingC direct flows from private households and industryD diffuse inputs from forestry (erosion percolation)

15

MFA for environmental protection and resources management

1st generation MFA Environmental protection

bull DDT

bull CFCs

bull PCBs NP etc

bull C -gt CO2 and CH42 4

PH Brunner 1524CTCI at NTU October 5 2009

16

MFA for greenhouse gas emission assessment

CO2 from hellip sources

fossil biogenic

f ilbiogenic

Energy from hellip sources

PH Brunner 1624CTCI at NTU October 5 2009

fossil

17

Concept of Balance Method

Material data of waste inputBiogenic matter C H O N S Cl

Fossil matter C H O N S Cl

800

Fossil matter C H O N S Cl

Balance equations

mI

c m + c m

mB + mF + mI + mw

= awaste

= 1

mI

c m + c m

mB + mF + mI + mw

= awaste

= 1

0

200

400

600

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

kg CO2 foss t waste

Revision of plant

cB mB + cF mF

HVB mB + HVF mF -245mW

dO2-CO2 mB + dO2-CO2 mF

= cwaste

= HVwaste

= dO2-CO2waste

O2CB mB + O2

CF mF = O2

Cwaste

cB mB + cF mF

HVB mB + HVF mF -245mW

dO2-CO2 mB + dO2-CO2 mF

= cwaste

= HVwaste

= dO2-CO2waste

O2CB mB + O2

CF mF = O2

Cwaste

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

30

40

50

60

70

80

90

100

o o

f energ

y fr

om

enic

sourc

es [

]

Line 1

Line 2

30

40

50

60

70

80

90

100

o o

f energ

y fr

om

enic

sourc

es [

]

Line 1

Line 2

PH Brunner 1724CTCI at NTU October 5 2009

Operating data from WTE plantWaste input flue gas volume

CO2 O2 steam production0

10

20

30

010707 010807 010907 011007

Rati

obio

ge

0

10

20

30

010707 010807 010907 011007

Rati

obio

ge

18

Balance Equation

mB + mF + mI + mw = 1Mass balance

mI

cB mB + cF mF

HV HV 2 45

= awaste

= cwaste

ldquoAshrdquo-balance

Carbon-balance

HVB mB + HVF mF -245mW

dO2-CO2 mB + dO2-CO2 mF

= HVwaste

= dO CO t

Energy-balance

Difference of d

O2-consumption O2CB mB + O2

CF mF = O2

Cwaste

PH Brunner 1824CTCI at NTU October 5 2009

dO2-CO2 B dO2-CO2 F = dO2-CO2wasteO2-cons +CO2-prod

Derived from operating dataCoefficients (given by the chemical composition of

biogenic and fossil matter)

19

Results (annual values)

CO2 - Emissions Fraction of fossil CO2 emissions []CO2 Emissions

819 plusmn39727 plusmn31

60 000

80000

100000

ssio

ns

sye

ar]

40

50

60

702 []

Radiocarbon methodBalance method

0

20000

40000

60000

CO

2-E

mi

[kilo

ton

s

bi i f il

529 471

0

10

20

30

PH Brunner 1924CTCI at NTU October 5 2009Johann Fellner

biogenic fossil

20

MFA for environmental protection and resources management

1st generation MFA Environmental protection

bull DDT

bull CFCs

bull PCBs NP etc

bull C -gt CO2 and CH42 4

2nd generation Resource management

bull Regional nutrient flows -gt integrated P management

bull Regional and global metal flows and stocks (Graedel)

PH Brunner 2024CTCI at NTU October 5 2009

bull Regional and global metal flows and stocks (Graedel)

-gt future metal management

21

Copper management based on MFA

11000 11500 3800

54011000

300000+7700

productscathodiccopper

Cu scrap III

680

Cu scrap II

waste

lOre

useWaste

management

54

1400Cu scrap I

11000 11500copper

production

2Copper

manufacturing

3

580000-11000

85000+3100

1700

Waste to landfill

1200waste

150slagOre

1 6Lithosphere landfill

flows 1000 tastocks 1000 t

PH Brunner 2124CTCI at NTU October 5 2009

source Graedel et al 2002 and Rechberger

World 1994rdquo

22

Application of MFA for governance in waste management

Goal improve waste management practice

step 1 professional MFA standard OumlWAV guideline (consensus)

step 2 Austrian Standard ONORM S 2096 ldquoMFA- Application in

waste managementrdquo

step 3 easy to use software STAN (freeware) for MFA in wm

step 4 mandatory MFA requirement for certified MSW companies

step 5 routine waste analysis by MFA on selected MSW incinerators

step 6 Link all relevant information for a new knowledge base (eg

PH Brunner 2224CTCI at NTU October 5 2009

for national waste management plan)

23

Conclusions

Objective - sustainable resource use

long term en ironmental protection- long-term environmental protection

MFA is instrumental for this objective because

bull it is a rigid transparent and objectiv method to model andvisualize material flows including uncertainty

bull It facilitates understanding and public acceptance of decisions

bull It is a key decision support tool for resource management environmental management and waste management

bull It is indispensable to establish knowledge bases for em rm andwm

PH Brunner 2324CTCI at NTU October 5 2009

wm

bull It needs to be standardized in order to fully exploit its potential

24

ThankThank youyou

PH Brunner 2424CTCI at NTU October 5 2009

14

Contribution of various sectors to the nu-trients in the river Danube watershed

Scale from human to household to regional to national to watershedhellip

Nitrogen825 kta

Ismail

Tirgu Mures

Kosice

Klagenfurt

Insbruck

Gyor

Szombathely

Cluj-Napoca

BrasovGalat

Iasi

Tchernovte

Miskolc

Debrecen

Oradea

Arad

Szeged

Pecs

Zagreb

Ljubljana

Bratislava

Brno

Linz

Regensburg

Augsburg

Munchen

Szekesfehervar

Graz

Salzburg

Budapest

Wien

Praha

Trnava

Nitra

Trencin

Prievidza Banska Bystrica

Zilina

Martin

Prasov

Levice

PiestanyTopolcany

Povazska BystricaLiptovsky Mikulas

Zvolen

Spisska Nova Ves

Bardejov

Humenne

Michalovce

Komarno

u61

u62

u59

u48

u58

u57

u56

u55

u47

u46

u45 u71

u54

u53

u52

u44 u50

u49 u65

u70

u69

u66

u67

u64BeregovoVinogradov

Vilok

Khust

Irshava

MezhgorieSvalyava

VishkovoTyachev

Chop

Solotvina VBychkov

Rakhov

Dybovoe

Kolomia

Yaremcha

Kosov

Snyatin

Storozhinets

Mukachevo

Uzhgorod

CM4

CM7

CM43

CM30

CM36CM38

CM34CM18

CM29

CM31CM22

CM35

CM9

CM26

CM23

CM2

CM5

CM0

CM17

CM28

CM33

CM32

CM8 CM25

CM14CM11

CM23CM46

CM21CM45

CM40

CM44CM13CM42CM27CM39

CM6CM41

CM19

CM15CM20

CM10

CM3

CS3545

CS3639CS1132

CS1133

CS1134CS1171

CS3670

CS1169

CS1135

CS1174

CS1139

CS1140CS1195

CS1188

CS1187

CS1186

CS1194CM1191

CS3742 CS1181

CS1179

CS1184

CS1176

Kranj

Maribor

Celje

Jesenice

Skofja LokaDomzale Trbovlje

Velenje

Novo Mesto

Ptuj

Murska Sobota

S1

S2

S3

S4S5S6

S7

S8

S9 S10

S11 S12

S13

m1

m2

m3m4

m5

m6

m7

m8

m9

m10

m11

m12

m13

m14

m15

Bziceni

Ocnita

Edinet

Geodeni

Falesti

Ungheni

Nisporeni

Carpineni

Leova

Comrat

Congaz

Ciadiz-Lunga

Taraclia

Vulcanesti

Cahul

BenderTiraspol

Belti

Kishinev

A326A323

A322

A324

A321

A522

A521

A721

A723

A724

A621

A821A923

A924

A1024

A921A922A1023

A1025

A1026

A1021

A1121

A1022A1031A1029

A1028A1027

A1030

A1032A1221

A1321

A1428

A1414A1427

A1424A1422

A1421

A1426A1425

A1528A1524A1526

A1527A1525

A1523

A1522

A1521

A422

A423

A722

A421

A1222

A73100007

A73200417A73200617

A73300407

A75000987

A40502037

A40502017

A4041017

A54110127A5411057

A54110017

A51210147A73390966

A40607017

A40607027

A40709117

A40709077

A40709067

A40709047

A40709037

A40709027

A40710027A40710017

A40907037

A40814047 A30900057

A30900047

A30900027

A30900017

A92001017

A31000017A31000027

A31100047

A31100057

A31100037

A31200037

A10000077

A10000027

A10000107A10000097

A10000087

A61400147A61400137

A61400127

A61400117

A61400107

A61400087A61400157

A21560297A21500087A21551267

A21551257

A21500057A21530157

A21500047

A21500027

A21510107A71560907

BUDAPEST1

BUDAPEST2

BUDAPEST3

DEBRECEN

MISKOLC

SZEGED

PECS

GYOR

NYIREGYHAZA1NYIREGYHAZA2

SZEKESFEHERVAR

KECSKEM ET

SZOMBATHELYSZOLNOK

TATABANYA

KAPOSVAR

BEKESCSABA

VESZPREM

ZALAEGERSZEG

EGER

DUNAUJVAROS

SOPRON

NAGYKANIZSA HODMEZOVASARHELY

ERD

SALGOTARJAN

OZD

BAJA

CEGLED

SZEKSZARD

KAZINCBARCIKA

GYONGYOS

PAPA

VAC

GYULA

AJKA

KISKUNFELEGYHAZASZENTES

HAJDUBOSZORM ENY

MOSONMAGYAROVAR1MOSONMAGYAROVAR2

GODOLLO

JASZBERENY

ESZTERGOM

KOMLO

OROSHAZA

DUNAKESZI

NAGYKOROS

VARPALOTA

MAKO

TATA HATVAN

TOROKSZENTMIKLOS

HAJDUSZOBOSZLO

KARCAG

BEKES

BUDAORSOROSZLANY

SZENTENDRE

SZIGETSZENTMIKLOS

DOMBOVAR

MOHACS

KOMAROM

PAKS

MEZOTUR

CSONGRAD

HAJDUNANAS

MONOR

TAPOLCA

GYAL

SZARVAS

MATESZALKA

BALMAZUJVAROS

BALASSAGYARMAT

SATORALJAUJHELY

TISZAUJVAROS

KALOCSA

VECSES

KISVARDA

MEZOKOVESD

SZAZHALOMBATTA BERETTYOUJFALU

GYOMAENDROD

SARVAR

ABONY

BATONYTERENYE

DUNAHARASZTI

DABAS

SAROSPATAK

BONYHAD

MOR

FOT TISZAFURED

TISZAVASVARI

GOD

SAJOSZENTPETER

SARBOGARD

NYIRBATOR

PUSPOKLADANY

DOROG

KISUJSZALLAS

POMAZ

KORMEND

HAJDUHADHAZ

MARCALI

NAGYATAD

BARCS

GYOMRO

TOLNA

NAGYKATA

CELLDOMOLK

PILISVOROSVAR

KOSZEG

TISZAKECSKE

BUDAKESZI

HEVES

TISZAFOLDVAR

MEZOBERENY

BICSKE

SZIGETVAR

PECEL

SARKAD

LAJOSMIZSE

KAPUVARCSORNA

ALBERTIRSA

SIKLOS

PASZTO

TURKEVE

SZERENCS

KUNSZENTMARTON

EDELENY

UJFEHERTO

SZIGETHALOM

SZEGHALOM

BUDAPEST CANNING-BREWERYBUDAPESTPAPER

TISZAUJVAROS CHEMICAL

KAZINCBARCIKA CHEMICAL

DUNAUJVAROS PAPERDUNAUJVAROS METALLURGICAL

ALMASFUZITO CHEMICALLABATLAN PAPER

MARCALI LEATHER

BALATONFUZFO CHEMICAL

PET CHEMICAL

PECS LEATHER

01FF01

01FF0201FF07 01FF04

02FF51

02FF02

02FF32

03FF06

03FF05

03FF07

03FF01

01FF13

01FF11

01FF22

01FF12

02FF17

02FF03

06FF27

04FF11

04FF14

02FF12

01FF62

01FF40

01FF38

06FF23

07FF01

07FF04

07FF05

08FF02

08FF04

10FF02

10FF04

10FF12

10FF14

11FF11

11FF12

07FF10

07FF11

07FF29

08FF07

09FF0308FF15

10FF22

11FF63

11FF32

CID

CIC

CIBCIE

CIA

BUDAORS CHEMICAL

CM12CM47

PECS LEATHER

A711A713A712

A311

A411

A1111

A1112

A1012

A1413A1411

A1414

A1412

A1416

A1311

A1313

A1312

A913

A912

A612

A611 A911

BUDAORS CHEMICAL

PET CHEMICAL

BALATONFUZFO CHEMICAL

MARCALI LEATHER

DUNAUJVAROS PAPER

CIECIB

CIA

CID

CIC

TISZAUJVAROS CHEMICAL

KAZINCBARCIKA CHEMICAL

agriculture

WWTP

others

others s a

Novi Sad

Osijek

Nis

Rijeka

Split

Constanca

Varna

Craiova

Ploesti

Braila

Sarajevo

Sofia

Bucuresti

Beograd

BM3

BM9

BM1

BM4

BM8

BM25

BM5BM2

BM38

BM16

BM35

BM36

BM37

BM22BM23

BM15

BM19

BM10

BM14

BM18

BM21

BM12

BM24

BM11BM17

BM28

BM26 BM29

BM32

BM31

BM27

BM33

BM13

BM34

BI1

BI2

BI3

BI4

BI5

BI9

BS334 BS147

BS336

BS17

BS335

BS337

BS175BS18

BS342

BS346

BS345

BS344

BS178

BS339

BS27

BS348

BS32

BS197

BS37

BS30

BS191BS29

BS190BS28

BS189

BS25

BS355

BS40

BS39

BS201

BS33

BS352

BS198BS194

BS199

BS198

BS45

BS206

BS44

BS43

BS42

BS205BS206

BS51

BS360BS358

BS53

BSBS4

BS220BS270

BS49BS216

BS210

BS209

BS208

BS234

BS232BS364

BS363

BS56

BS230231BS229

BS55BS228

BS361

BS182

BS347

05FF18

BI4

BI1

BI3

BI2

BI5

BI9

Phosphorus105 kta

agricultureWWTP

others

PH Brunner 1424CTCI at NTU October 5 2009

A direct and indirect inputs of animal waste productsB erosion and leachingC direct flows from private households and industryD diffuse inputs from forestry (erosion percolation)

15

MFA for environmental protection and resources management

1st generation MFA Environmental protection

bull DDT

bull CFCs

bull PCBs NP etc

bull C -gt CO2 and CH42 4

PH Brunner 1524CTCI at NTU October 5 2009

16

MFA for greenhouse gas emission assessment

CO2 from hellip sources

fossil biogenic

f ilbiogenic

Energy from hellip sources

PH Brunner 1624CTCI at NTU October 5 2009

fossil

17

Concept of Balance Method

Material data of waste inputBiogenic matter C H O N S Cl

Fossil matter C H O N S Cl

800

Fossil matter C H O N S Cl

Balance equations

mI

c m + c m

mB + mF + mI + mw

= awaste

= 1

mI

c m + c m

mB + mF + mI + mw

= awaste

= 1

0

200

400

600

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

kg CO2 foss t waste

Revision of plant

cB mB + cF mF

HVB mB + HVF mF -245mW

dO2-CO2 mB + dO2-CO2 mF

= cwaste

= HVwaste

= dO2-CO2waste

O2CB mB + O2

CF mF = O2

Cwaste

cB mB + cF mF

HVB mB + HVF mF -245mW

dO2-CO2 mB + dO2-CO2 mF

= cwaste

= HVwaste

= dO2-CO2waste

O2CB mB + O2

CF mF = O2

Cwaste

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

30

40

50

60

70

80

90

100

o o

f energ

y fr

om

enic

sourc

es [

]

Line 1

Line 2

30

40

50

60

70

80

90

100

o o

f energ

y fr

om

enic

sourc

es [

]

Line 1

Line 2

PH Brunner 1724CTCI at NTU October 5 2009

Operating data from WTE plantWaste input flue gas volume

CO2 O2 steam production0

10

20

30

010707 010807 010907 011007

Rati

obio

ge

0

10

20

30

010707 010807 010907 011007

Rati

obio

ge

18

Balance Equation

mB + mF + mI + mw = 1Mass balance

mI

cB mB + cF mF

HV HV 2 45

= awaste

= cwaste

ldquoAshrdquo-balance

Carbon-balance

HVB mB + HVF mF -245mW

dO2-CO2 mB + dO2-CO2 mF

= HVwaste

= dO CO t

Energy-balance

Difference of d

O2-consumption O2CB mB + O2

CF mF = O2

Cwaste

PH Brunner 1824CTCI at NTU October 5 2009

dO2-CO2 B dO2-CO2 F = dO2-CO2wasteO2-cons +CO2-prod

Derived from operating dataCoefficients (given by the chemical composition of

biogenic and fossil matter)

19

Results (annual values)

CO2 - Emissions Fraction of fossil CO2 emissions []CO2 Emissions

819 plusmn39727 plusmn31

60 000

80000

100000

ssio

ns

sye

ar]

40

50

60

702 []

Radiocarbon methodBalance method

0

20000

40000

60000

CO

2-E

mi

[kilo

ton

s

bi i f il

529 471

0

10

20

30

PH Brunner 1924CTCI at NTU October 5 2009Johann Fellner

biogenic fossil

20

MFA for environmental protection and resources management

1st generation MFA Environmental protection

bull DDT

bull CFCs

bull PCBs NP etc

bull C -gt CO2 and CH42 4

2nd generation Resource management

bull Regional nutrient flows -gt integrated P management

bull Regional and global metal flows and stocks (Graedel)

PH Brunner 2024CTCI at NTU October 5 2009

bull Regional and global metal flows and stocks (Graedel)

-gt future metal management

21

Copper management based on MFA

11000 11500 3800

54011000

300000+7700

productscathodiccopper

Cu scrap III

680

Cu scrap II

waste

lOre

useWaste

management

54

1400Cu scrap I

11000 11500copper

production

2Copper

manufacturing

3

580000-11000

85000+3100

1700

Waste to landfill

1200waste

150slagOre

1 6Lithosphere landfill

flows 1000 tastocks 1000 t

PH Brunner 2124CTCI at NTU October 5 2009

source Graedel et al 2002 and Rechberger

World 1994rdquo

22

Application of MFA for governance in waste management

Goal improve waste management practice

step 1 professional MFA standard OumlWAV guideline (consensus)

step 2 Austrian Standard ONORM S 2096 ldquoMFA- Application in

waste managementrdquo

step 3 easy to use software STAN (freeware) for MFA in wm

step 4 mandatory MFA requirement for certified MSW companies

step 5 routine waste analysis by MFA on selected MSW incinerators

step 6 Link all relevant information for a new knowledge base (eg

PH Brunner 2224CTCI at NTU October 5 2009

for national waste management plan)

23

Conclusions

Objective - sustainable resource use

long term en ironmental protection- long-term environmental protection

MFA is instrumental for this objective because

bull it is a rigid transparent and objectiv method to model andvisualize material flows including uncertainty

bull It facilitates understanding and public acceptance of decisions

bull It is a key decision support tool for resource management environmental management and waste management

bull It is indispensable to establish knowledge bases for em rm andwm

PH Brunner 2324CTCI at NTU October 5 2009

wm

bull It needs to be standardized in order to fully exploit its potential

24

ThankThank youyou

PH Brunner 2424CTCI at NTU October 5 2009

15

MFA for environmental protection and resources management

1st generation MFA Environmental protection

bull DDT

bull CFCs

bull PCBs NP etc

bull C -gt CO2 and CH42 4

PH Brunner 1524CTCI at NTU October 5 2009

16

MFA for greenhouse gas emission assessment

CO2 from hellip sources

fossil biogenic

f ilbiogenic

Energy from hellip sources

PH Brunner 1624CTCI at NTU October 5 2009

fossil

17

Concept of Balance Method

Material data of waste inputBiogenic matter C H O N S Cl

Fossil matter C H O N S Cl

800

Fossil matter C H O N S Cl

Balance equations

mI

c m + c m

mB + mF + mI + mw

= awaste

= 1

mI

c m + c m

mB + mF + mI + mw

= awaste

= 1

0

200

400

600

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

kg CO2 foss t waste

Revision of plant

cB mB + cF mF

HVB mB + HVF mF -245mW

dO2-CO2 mB + dO2-CO2 mF

= cwaste

= HVwaste

= dO2-CO2waste

O2CB mB + O2

CF mF = O2

Cwaste

cB mB + cF mF

HVB mB + HVF mF -245mW

dO2-CO2 mB + dO2-CO2 mF

= cwaste

= HVwaste

= dO2-CO2waste

O2CB mB + O2

CF mF = O2

Cwaste

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

30

40

50

60

70

80

90

100

o o

f energ

y fr

om

enic

sourc

es [

]

Line 1

Line 2

30

40

50

60

70

80

90

100

o o

f energ

y fr

om

enic

sourc

es [

]

Line 1

Line 2

PH Brunner 1724CTCI at NTU October 5 2009

Operating data from WTE plantWaste input flue gas volume

CO2 O2 steam production0

10

20

30

010707 010807 010907 011007

Rati

obio

ge

0

10

20

30

010707 010807 010907 011007

Rati

obio

ge

18

Balance Equation

mB + mF + mI + mw = 1Mass balance

mI

cB mB + cF mF

HV HV 2 45

= awaste

= cwaste

ldquoAshrdquo-balance

Carbon-balance

HVB mB + HVF mF -245mW

dO2-CO2 mB + dO2-CO2 mF

= HVwaste

= dO CO t

Energy-balance

Difference of d

O2-consumption O2CB mB + O2

CF mF = O2

Cwaste

PH Brunner 1824CTCI at NTU October 5 2009

dO2-CO2 B dO2-CO2 F = dO2-CO2wasteO2-cons +CO2-prod

Derived from operating dataCoefficients (given by the chemical composition of

biogenic and fossil matter)

19

Results (annual values)

CO2 - Emissions Fraction of fossil CO2 emissions []CO2 Emissions

819 plusmn39727 plusmn31

60 000

80000

100000

ssio

ns

sye

ar]

40

50

60

702 []

Radiocarbon methodBalance method

0

20000

40000

60000

CO

2-E

mi

[kilo

ton

s

bi i f il

529 471

0

10

20

30

PH Brunner 1924CTCI at NTU October 5 2009Johann Fellner

biogenic fossil

20

MFA for environmental protection and resources management

1st generation MFA Environmental protection

bull DDT

bull CFCs

bull PCBs NP etc

bull C -gt CO2 and CH42 4

2nd generation Resource management

bull Regional nutrient flows -gt integrated P management

bull Regional and global metal flows and stocks (Graedel)

PH Brunner 2024CTCI at NTU October 5 2009

bull Regional and global metal flows and stocks (Graedel)

-gt future metal management

21

Copper management based on MFA

11000 11500 3800

54011000

300000+7700

productscathodiccopper

Cu scrap III

680

Cu scrap II

waste

lOre

useWaste

management

54

1400Cu scrap I

11000 11500copper

production

2Copper

manufacturing

3

580000-11000

85000+3100

1700

Waste to landfill

1200waste

150slagOre

1 6Lithosphere landfill

flows 1000 tastocks 1000 t

PH Brunner 2124CTCI at NTU October 5 2009

source Graedel et al 2002 and Rechberger

World 1994rdquo

22

Application of MFA for governance in waste management

Goal improve waste management practice

step 1 professional MFA standard OumlWAV guideline (consensus)

step 2 Austrian Standard ONORM S 2096 ldquoMFA- Application in

waste managementrdquo

step 3 easy to use software STAN (freeware) for MFA in wm

step 4 mandatory MFA requirement for certified MSW companies

step 5 routine waste analysis by MFA on selected MSW incinerators

step 6 Link all relevant information for a new knowledge base (eg

PH Brunner 2224CTCI at NTU October 5 2009

for national waste management plan)

23

Conclusions

Objective - sustainable resource use

long term en ironmental protection- long-term environmental protection

MFA is instrumental for this objective because

bull it is a rigid transparent and objectiv method to model andvisualize material flows including uncertainty

bull It facilitates understanding and public acceptance of decisions

bull It is a key decision support tool for resource management environmental management and waste management

bull It is indispensable to establish knowledge bases for em rm andwm

PH Brunner 2324CTCI at NTU October 5 2009

wm

bull It needs to be standardized in order to fully exploit its potential

24

ThankThank youyou

PH Brunner 2424CTCI at NTU October 5 2009

16

MFA for greenhouse gas emission assessment

CO2 from hellip sources

fossil biogenic

f ilbiogenic

Energy from hellip sources

PH Brunner 1624CTCI at NTU October 5 2009

fossil

17

Concept of Balance Method

Material data of waste inputBiogenic matter C H O N S Cl

Fossil matter C H O N S Cl

800

Fossil matter C H O N S Cl

Balance equations

mI

c m + c m

mB + mF + mI + mw

= awaste

= 1

mI

c m + c m

mB + mF + mI + mw

= awaste

= 1

0

200

400

600

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

kg CO2 foss t waste

Revision of plant

cB mB + cF mF

HVB mB + HVF mF -245mW

dO2-CO2 mB + dO2-CO2 mF

= cwaste

= HVwaste

= dO2-CO2waste

O2CB mB + O2

CF mF = O2

Cwaste

cB mB + cF mF

HVB mB + HVF mF -245mW

dO2-CO2 mB + dO2-CO2 mF

= cwaste

= HVwaste

= dO2-CO2waste

O2CB mB + O2

CF mF = O2

Cwaste

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

30

40

50

60

70

80

90

100

o o

f energ

y fr

om

enic

sourc

es [

]

Line 1

Line 2

30

40

50

60

70

80

90

100

o o

f energ

y fr

om

enic

sourc

es [

]

Line 1

Line 2

PH Brunner 1724CTCI at NTU October 5 2009

Operating data from WTE plantWaste input flue gas volume

CO2 O2 steam production0

10

20

30

010707 010807 010907 011007

Rati

obio

ge

0

10

20

30

010707 010807 010907 011007

Rati

obio

ge

18

Balance Equation

mB + mF + mI + mw = 1Mass balance

mI

cB mB + cF mF

HV HV 2 45

= awaste

= cwaste

ldquoAshrdquo-balance

Carbon-balance

HVB mB + HVF mF -245mW

dO2-CO2 mB + dO2-CO2 mF

= HVwaste

= dO CO t

Energy-balance

Difference of d

O2-consumption O2CB mB + O2

CF mF = O2

Cwaste

PH Brunner 1824CTCI at NTU October 5 2009

dO2-CO2 B dO2-CO2 F = dO2-CO2wasteO2-cons +CO2-prod

Derived from operating dataCoefficients (given by the chemical composition of

biogenic and fossil matter)

19

Results (annual values)

CO2 - Emissions Fraction of fossil CO2 emissions []CO2 Emissions

819 plusmn39727 plusmn31

60 000

80000

100000

ssio

ns

sye

ar]

40

50

60

702 []

Radiocarbon methodBalance method

0

20000

40000

60000

CO

2-E

mi

[kilo

ton

s

bi i f il

529 471

0

10

20

30

PH Brunner 1924CTCI at NTU October 5 2009Johann Fellner

biogenic fossil

20

MFA for environmental protection and resources management

1st generation MFA Environmental protection

bull DDT

bull CFCs

bull PCBs NP etc

bull C -gt CO2 and CH42 4

2nd generation Resource management

bull Regional nutrient flows -gt integrated P management

bull Regional and global metal flows and stocks (Graedel)

PH Brunner 2024CTCI at NTU October 5 2009

bull Regional and global metal flows and stocks (Graedel)

-gt future metal management

21

Copper management based on MFA

11000 11500 3800

54011000

300000+7700

productscathodiccopper

Cu scrap III

680

Cu scrap II

waste

lOre

useWaste

management

54

1400Cu scrap I

11000 11500copper

production

2Copper

manufacturing

3

580000-11000

85000+3100

1700

Waste to landfill

1200waste

150slagOre

1 6Lithosphere landfill

flows 1000 tastocks 1000 t

PH Brunner 2124CTCI at NTU October 5 2009

source Graedel et al 2002 and Rechberger

World 1994rdquo

22

Application of MFA for governance in waste management

Goal improve waste management practice

step 1 professional MFA standard OumlWAV guideline (consensus)

step 2 Austrian Standard ONORM S 2096 ldquoMFA- Application in

waste managementrdquo

step 3 easy to use software STAN (freeware) for MFA in wm

step 4 mandatory MFA requirement for certified MSW companies

step 5 routine waste analysis by MFA on selected MSW incinerators

step 6 Link all relevant information for a new knowledge base (eg

PH Brunner 2224CTCI at NTU October 5 2009

for national waste management plan)

23

Conclusions

Objective - sustainable resource use

long term en ironmental protection- long-term environmental protection

MFA is instrumental for this objective because

bull it is a rigid transparent and objectiv method to model andvisualize material flows including uncertainty

bull It facilitates understanding and public acceptance of decisions

bull It is a key decision support tool for resource management environmental management and waste management

bull It is indispensable to establish knowledge bases for em rm andwm

PH Brunner 2324CTCI at NTU October 5 2009

wm

bull It needs to be standardized in order to fully exploit its potential

24

ThankThank youyou

PH Brunner 2424CTCI at NTU October 5 2009

17

Concept of Balance Method

Material data of waste inputBiogenic matter C H O N S Cl

Fossil matter C H O N S Cl

800

Fossil matter C H O N S Cl

Balance equations

mI

c m + c m

mB + mF + mI + mw

= awaste

= 1

mI

c m + c m

mB + mF + mI + mw

= awaste

= 1

0

200

400

600

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

kg CO2 foss t waste

Revision of plant

cB mB + cF mF

HVB mB + HVF mF -245mW

dO2-CO2 mB + dO2-CO2 mF

= cwaste

= HVwaste

= dO2-CO2waste

O2CB mB + O2

CF mF = O2

Cwaste

cB mB + cF mF

HVB mB + HVF mF -245mW

dO2-CO2 mB + dO2-CO2 mF

= cwaste

= HVwaste

= dO2-CO2waste

O2CB mB + O2

CF mF = O2

Cwaste

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

30

40

50

60

70

80

90

100

o o

f energ

y fr

om

enic

sourc

es [

]

Line 1

Line 2

30

40

50

60

70

80

90

100

o o

f energ

y fr

om

enic

sourc

es [

]

Line 1

Line 2

PH Brunner 1724CTCI at NTU October 5 2009

Operating data from WTE plantWaste input flue gas volume

CO2 O2 steam production0

10

20

30

010707 010807 010907 011007

Rati

obio

ge

0

10

20

30

010707 010807 010907 011007

Rati

obio

ge

18

Balance Equation

mB + mF + mI + mw = 1Mass balance

mI

cB mB + cF mF

HV HV 2 45

= awaste

= cwaste

ldquoAshrdquo-balance

Carbon-balance

HVB mB + HVF mF -245mW

dO2-CO2 mB + dO2-CO2 mF

= HVwaste

= dO CO t

Energy-balance

Difference of d

O2-consumption O2CB mB + O2

CF mF = O2

Cwaste

PH Brunner 1824CTCI at NTU October 5 2009

dO2-CO2 B dO2-CO2 F = dO2-CO2wasteO2-cons +CO2-prod

Derived from operating dataCoefficients (given by the chemical composition of

biogenic and fossil matter)

19

Results (annual values)

CO2 - Emissions Fraction of fossil CO2 emissions []CO2 Emissions

819 plusmn39727 plusmn31

60 000

80000

100000

ssio

ns

sye

ar]

40

50

60

702 []

Radiocarbon methodBalance method

0

20000

40000

60000

CO

2-E

mi

[kilo

ton

s

bi i f il

529 471

0

10

20

30

PH Brunner 1924CTCI at NTU October 5 2009Johann Fellner

biogenic fossil

20

MFA for environmental protection and resources management

1st generation MFA Environmental protection

bull DDT

bull CFCs

bull PCBs NP etc

bull C -gt CO2 and CH42 4

2nd generation Resource management

bull Regional nutrient flows -gt integrated P management

bull Regional and global metal flows and stocks (Graedel)

PH Brunner 2024CTCI at NTU October 5 2009

bull Regional and global metal flows and stocks (Graedel)

-gt future metal management

21

Copper management based on MFA

11000 11500 3800

54011000

300000+7700

productscathodiccopper

Cu scrap III

680

Cu scrap II

waste

lOre

useWaste

management

54

1400Cu scrap I

11000 11500copper

production

2Copper

manufacturing

3

580000-11000

85000+3100

1700

Waste to landfill

1200waste

150slagOre

1 6Lithosphere landfill

flows 1000 tastocks 1000 t

PH Brunner 2124CTCI at NTU October 5 2009

source Graedel et al 2002 and Rechberger

World 1994rdquo

22

Application of MFA for governance in waste management

Goal improve waste management practice

step 1 professional MFA standard OumlWAV guideline (consensus)

step 2 Austrian Standard ONORM S 2096 ldquoMFA- Application in

waste managementrdquo

step 3 easy to use software STAN (freeware) for MFA in wm

step 4 mandatory MFA requirement for certified MSW companies

step 5 routine waste analysis by MFA on selected MSW incinerators

step 6 Link all relevant information for a new knowledge base (eg

PH Brunner 2224CTCI at NTU October 5 2009

for national waste management plan)

23

Conclusions

Objective - sustainable resource use

long term en ironmental protection- long-term environmental protection

MFA is instrumental for this objective because

bull it is a rigid transparent and objectiv method to model andvisualize material flows including uncertainty

bull It facilitates understanding and public acceptance of decisions

bull It is a key decision support tool for resource management environmental management and waste management

bull It is indispensable to establish knowledge bases for em rm andwm

PH Brunner 2324CTCI at NTU October 5 2009

wm

bull It needs to be standardized in order to fully exploit its potential

24

ThankThank youyou

PH Brunner 2424CTCI at NTU October 5 2009

18

Balance Equation

mB + mF + mI + mw = 1Mass balance

mI

cB mB + cF mF

HV HV 2 45

= awaste

= cwaste

ldquoAshrdquo-balance

Carbon-balance

HVB mB + HVF mF -245mW

dO2-CO2 mB + dO2-CO2 mF

= HVwaste

= dO CO t

Energy-balance

Difference of d

O2-consumption O2CB mB + O2

CF mF = O2

Cwaste

PH Brunner 1824CTCI at NTU October 5 2009

dO2-CO2 B dO2-CO2 F = dO2-CO2wasteO2-cons +CO2-prod

Derived from operating dataCoefficients (given by the chemical composition of

biogenic and fossil matter)

19

Results (annual values)

CO2 - Emissions Fraction of fossil CO2 emissions []CO2 Emissions

819 plusmn39727 plusmn31

60 000

80000

100000

ssio

ns

sye

ar]

40

50

60

702 []

Radiocarbon methodBalance method

0

20000

40000

60000

CO

2-E

mi

[kilo

ton

s

bi i f il

529 471

0

10

20

30

PH Brunner 1924CTCI at NTU October 5 2009Johann Fellner

biogenic fossil

20

MFA for environmental protection and resources management

1st generation MFA Environmental protection

bull DDT

bull CFCs

bull PCBs NP etc

bull C -gt CO2 and CH42 4

2nd generation Resource management

bull Regional nutrient flows -gt integrated P management

bull Regional and global metal flows and stocks (Graedel)

PH Brunner 2024CTCI at NTU October 5 2009

bull Regional and global metal flows and stocks (Graedel)

-gt future metal management

21

Copper management based on MFA

11000 11500 3800

54011000

300000+7700

productscathodiccopper

Cu scrap III

680

Cu scrap II

waste

lOre

useWaste

management

54

1400Cu scrap I

11000 11500copper

production

2Copper

manufacturing

3

580000-11000

85000+3100

1700

Waste to landfill

1200waste

150slagOre

1 6Lithosphere landfill

flows 1000 tastocks 1000 t

PH Brunner 2124CTCI at NTU October 5 2009

source Graedel et al 2002 and Rechberger

World 1994rdquo

22

Application of MFA for governance in waste management

Goal improve waste management practice

step 1 professional MFA standard OumlWAV guideline (consensus)

step 2 Austrian Standard ONORM S 2096 ldquoMFA- Application in

waste managementrdquo

step 3 easy to use software STAN (freeware) for MFA in wm

step 4 mandatory MFA requirement for certified MSW companies

step 5 routine waste analysis by MFA on selected MSW incinerators

step 6 Link all relevant information for a new knowledge base (eg

PH Brunner 2224CTCI at NTU October 5 2009

for national waste management plan)

23

Conclusions

Objective - sustainable resource use

long term en ironmental protection- long-term environmental protection

MFA is instrumental for this objective because

bull it is a rigid transparent and objectiv method to model andvisualize material flows including uncertainty

bull It facilitates understanding and public acceptance of decisions

bull It is a key decision support tool for resource management environmental management and waste management

bull It is indispensable to establish knowledge bases for em rm andwm

PH Brunner 2324CTCI at NTU October 5 2009

wm

bull It needs to be standardized in order to fully exploit its potential

24

ThankThank youyou

PH Brunner 2424CTCI at NTU October 5 2009

19

Results (annual values)

CO2 - Emissions Fraction of fossil CO2 emissions []CO2 Emissions

819 plusmn39727 plusmn31

60 000

80000

100000

ssio

ns

sye

ar]

40

50

60

702 []

Radiocarbon methodBalance method

0

20000

40000

60000

CO

2-E

mi

[kilo

ton

s

bi i f il

529 471

0

10

20

30

PH Brunner 1924CTCI at NTU October 5 2009Johann Fellner

biogenic fossil

20

MFA for environmental protection and resources management

1st generation MFA Environmental protection

bull DDT

bull CFCs

bull PCBs NP etc

bull C -gt CO2 and CH42 4

2nd generation Resource management

bull Regional nutrient flows -gt integrated P management

bull Regional and global metal flows and stocks (Graedel)

PH Brunner 2024CTCI at NTU October 5 2009

bull Regional and global metal flows and stocks (Graedel)

-gt future metal management

21

Copper management based on MFA

11000 11500 3800

54011000

300000+7700

productscathodiccopper

Cu scrap III

680

Cu scrap II

waste

lOre

useWaste

management

54

1400Cu scrap I

11000 11500copper

production

2Copper

manufacturing

3

580000-11000

85000+3100

1700

Waste to landfill

1200waste

150slagOre

1 6Lithosphere landfill

flows 1000 tastocks 1000 t

PH Brunner 2124CTCI at NTU October 5 2009

source Graedel et al 2002 and Rechberger

World 1994rdquo

22

Application of MFA for governance in waste management

Goal improve waste management practice

step 1 professional MFA standard OumlWAV guideline (consensus)

step 2 Austrian Standard ONORM S 2096 ldquoMFA- Application in

waste managementrdquo

step 3 easy to use software STAN (freeware) for MFA in wm

step 4 mandatory MFA requirement for certified MSW companies

step 5 routine waste analysis by MFA on selected MSW incinerators

step 6 Link all relevant information for a new knowledge base (eg

PH Brunner 2224CTCI at NTU October 5 2009

for national waste management plan)

23

Conclusions

Objective - sustainable resource use

long term en ironmental protection- long-term environmental protection

MFA is instrumental for this objective because

bull it is a rigid transparent and objectiv method to model andvisualize material flows including uncertainty

bull It facilitates understanding and public acceptance of decisions

bull It is a key decision support tool for resource management environmental management and waste management

bull It is indispensable to establish knowledge bases for em rm andwm

PH Brunner 2324CTCI at NTU October 5 2009

wm

bull It needs to be standardized in order to fully exploit its potential

24

ThankThank youyou

PH Brunner 2424CTCI at NTU October 5 2009

20

MFA for environmental protection and resources management

1st generation MFA Environmental protection

bull DDT

bull CFCs

bull PCBs NP etc

bull C -gt CO2 and CH42 4

2nd generation Resource management

bull Regional nutrient flows -gt integrated P management

bull Regional and global metal flows and stocks (Graedel)

PH Brunner 2024CTCI at NTU October 5 2009

bull Regional and global metal flows and stocks (Graedel)

-gt future metal management

21

Copper management based on MFA

11000 11500 3800

54011000

300000+7700

productscathodiccopper

Cu scrap III

680

Cu scrap II

waste

lOre

useWaste

management

54

1400Cu scrap I

11000 11500copper

production

2Copper

manufacturing

3

580000-11000

85000+3100

1700

Waste to landfill

1200waste

150slagOre

1 6Lithosphere landfill

flows 1000 tastocks 1000 t

PH Brunner 2124CTCI at NTU October 5 2009

source Graedel et al 2002 and Rechberger

World 1994rdquo

22

Application of MFA for governance in waste management

Goal improve waste management practice

step 1 professional MFA standard OumlWAV guideline (consensus)

step 2 Austrian Standard ONORM S 2096 ldquoMFA- Application in

waste managementrdquo

step 3 easy to use software STAN (freeware) for MFA in wm

step 4 mandatory MFA requirement for certified MSW companies

step 5 routine waste analysis by MFA on selected MSW incinerators

step 6 Link all relevant information for a new knowledge base (eg

PH Brunner 2224CTCI at NTU October 5 2009

for national waste management plan)

23

Conclusions

Objective - sustainable resource use

long term en ironmental protection- long-term environmental protection

MFA is instrumental for this objective because

bull it is a rigid transparent and objectiv method to model andvisualize material flows including uncertainty

bull It facilitates understanding and public acceptance of decisions

bull It is a key decision support tool for resource management environmental management and waste management

bull It is indispensable to establish knowledge bases for em rm andwm

PH Brunner 2324CTCI at NTU October 5 2009

wm

bull It needs to be standardized in order to fully exploit its potential

24

ThankThank youyou

PH Brunner 2424CTCI at NTU October 5 2009

21

Copper management based on MFA

11000 11500 3800

54011000

300000+7700

productscathodiccopper

Cu scrap III

680

Cu scrap II

waste

lOre

useWaste

management

54

1400Cu scrap I

11000 11500copper

production

2Copper

manufacturing

3

580000-11000

85000+3100

1700

Waste to landfill

1200waste

150slagOre

1 6Lithosphere landfill

flows 1000 tastocks 1000 t

PH Brunner 2124CTCI at NTU October 5 2009

source Graedel et al 2002 and Rechberger

World 1994rdquo

22

Application of MFA for governance in waste management

Goal improve waste management practice

step 1 professional MFA standard OumlWAV guideline (consensus)

step 2 Austrian Standard ONORM S 2096 ldquoMFA- Application in

waste managementrdquo

step 3 easy to use software STAN (freeware) for MFA in wm

step 4 mandatory MFA requirement for certified MSW companies

step 5 routine waste analysis by MFA on selected MSW incinerators

step 6 Link all relevant information for a new knowledge base (eg

PH Brunner 2224CTCI at NTU October 5 2009

for national waste management plan)

23

Conclusions

Objective - sustainable resource use

long term en ironmental protection- long-term environmental protection

MFA is instrumental for this objective because

bull it is a rigid transparent and objectiv method to model andvisualize material flows including uncertainty

bull It facilitates understanding and public acceptance of decisions

bull It is a key decision support tool for resource management environmental management and waste management

bull It is indispensable to establish knowledge bases for em rm andwm

PH Brunner 2324CTCI at NTU October 5 2009

wm

bull It needs to be standardized in order to fully exploit its potential

24

ThankThank youyou

PH Brunner 2424CTCI at NTU October 5 2009

22

Application of MFA for governance in waste management

Goal improve waste management practice

step 1 professional MFA standard OumlWAV guideline (consensus)

step 2 Austrian Standard ONORM S 2096 ldquoMFA- Application in

waste managementrdquo

step 3 easy to use software STAN (freeware) for MFA in wm

step 4 mandatory MFA requirement for certified MSW companies

step 5 routine waste analysis by MFA on selected MSW incinerators

step 6 Link all relevant information for a new knowledge base (eg

PH Brunner 2224CTCI at NTU October 5 2009

for national waste management plan)

23

Conclusions

Objective - sustainable resource use

long term en ironmental protection- long-term environmental protection

MFA is instrumental for this objective because

bull it is a rigid transparent and objectiv method to model andvisualize material flows including uncertainty

bull It facilitates understanding and public acceptance of decisions

bull It is a key decision support tool for resource management environmental management and waste management

bull It is indispensable to establish knowledge bases for em rm andwm

PH Brunner 2324CTCI at NTU October 5 2009

wm

bull It needs to be standardized in order to fully exploit its potential

24

ThankThank youyou

PH Brunner 2424CTCI at NTU October 5 2009

23

Conclusions

Objective - sustainable resource use

long term en ironmental protection- long-term environmental protection

MFA is instrumental for this objective because

bull it is a rigid transparent and objectiv method to model andvisualize material flows including uncertainty

bull It facilitates understanding and public acceptance of decisions

bull It is a key decision support tool for resource management environmental management and waste management

bull It is indispensable to establish knowledge bases for em rm andwm

PH Brunner 2324CTCI at NTU October 5 2009

wm

bull It needs to be standardized in order to fully exploit its potential

24

ThankThank youyou

PH Brunner 2424CTCI at NTU October 5 2009

24

ThankThank youyou

PH Brunner 2424CTCI at NTU October 5 2009