h. p. piorr, s. laufer university of applied sciences eberswalde bbn meeting – eberswalde,...

H. P. Piorr , S. Laufer

University of Applied

Sciences Eberswalde

BBN Meeting – Eberswalde, 01.12.2006BBN Meeting – Eberswalde, 01.12.2006

Work status Brandenburg, Work status Brandenburg, UAS EberswaldeUAS Eberswalde



Sciences Eberswalde

1. Biogas potential for Brandenburg

• for the Brandenburg energy strategy 2010 and biogas handbook

• Based on winter rye & maize potential on the municipality level and slurry potential (cattle & pigs) on the county level

2. Regional analysis of spatial impact (resources, logistics etc.) of planned Biogas facilities in the region of Templin

Schulzenfelde: 4 – 6 plants with 500 kW eachEselshütte: 10 plants

Reinfeld: 4 plants First meetings held, review of applications

done

WP 1 – regional scenario models



Sciences Eberswalde

1. GIS based investment feasibility study planned Straw ethanol plant

in cooperation with VW and Iogen

planned straw ethanol facility in Germany

search for potential sites

UAS was asked for straw potential analysis Germany

1. Model based

2. Statistically based

WP 2 – operational models



Sciences Eberswalde

2. GIS based potential modelling in the Baltic Sea Region

model based on yield index Germany adaption to data situation in baltic states???

WP 2 – GIS modelling

Zustandsstufen Bodenart Entstehung

1 2 3 4 5 6 7

D 41-34 33-27 26-21 20-16 15-12 11-7 S

Al 44-37 36-30 29-24 23-19 18-14 18-9

D 51-43 42-35 34-28 27-22 21-17 16-11

Al 53-46 45-38 37-31 30-24 23-19 18-13 Sl

V 49-43 42-36 35-29 28-23 22-18 17-12

D 68-60 59-51 50-44 43-37 36-30 29-23 22-16

Lö 71-63 62-54 53-46 45-39 38-32 31-25 24-18

Al 71-63 62-54 53-46 45-39 38-32 31-25 24-18

V 57-51 50-44 43-37 36-30 29-24 23-17

lS

Vg 47-41 40-34 33-27 26-20 19-12

D 75-68 67-60 59-52 51-45 44-38 37-31 30-23

Lö 81-73 72-64 63-55 54-47 46-40 39-33 32-25

Al 80-72 71-63 62-55 54-47 46-40 39-33 32-25

V 75-68 67-60 59-52 51-44 43-37 36-30 29-22

SL

Vg 55-48 47-40 39-32 31-24 23-16

D 84-76 75-68 67-60 59-53 52-46 45-49 38-30

Lö 92-83 82-74 73-65 64-56 55-48 47-41 40-32

Al 90-81 80-72 71-64 63-56 55-48 47-41 40-32

V 85-77 76-68 67-59 58-51 50-44 43-36 35-27

sL

Vg 64-55 54-45 44-36 35-27 26-18

D 90-82 81-74 73-66 65-58 57-50 49-43 42-34

Lö 100-92 91-83 82-74 73-65 64-56 55-46 45-36

Al 100-90 89-80 79-71 70-62 61-54 53-45 44-35

V 91-83 82-74 73-65 64-56 55-47 46-39 38-30

L

Vg 70-61 60-51 50-41 40-30 29-19

D 87-79 78-70 69-62 61-54 53-46 45-38 37-28

Al 91-83 82-74 73-65 64-57 56-49 48-40 39-29

V 87-79 78-70 69-61 60-52 51-43 42-34 33-24 LT

Vg 67-58 57-48 47-38 37-28 27-17

D 71-64 63-64 55-48 47-40 39-30 29-18

Al 74-66 65-58 57-50 49-41 40-31 30-18

V 71-63 62-54 53-45 44-36 35-26 25-14 T

Vg 59-51 50-42 41-33 32-24 23-14

Mo 54-46 45-37 36-29 28-22 21-16 15-10



Sciences Eberswalde


Zustandsstufen Bodenart Entstehung

1 2 3 4 5 6 7

D 41-34 33-27 26-21 20-16 15-12 11-7 S

Al 44-37 36-30 29-24 23-19 18-14 18-9

D 51-43 42-35 34-28 27-22 21-17 16-11

Al 53-46 45-38 37-31 30-24 23-19 18-13 Sl

V 49-43 42-36 35-29 28-23 22-18 17-12

D 68-60 59-51 50-44 43-37 36-30 29-23 22-16

Lö 71-63 62-54 53-46 45-39 38-32 31-25 24-18

Al 71-63 62-54 53-46 45-39 38-32 31-25 24-18

V 57-51 50-44 43-37 36-30 29-24 23-17

lS

Vg 47-41 40-34 33-27 26-20 19-12

D 75-68 67-60 59-52 51-45 44-38 37-31 30-23

Lö 81-73 72-64 63-55 54-47 46-40 39-33 32-25

Al 80-72 71-63 62-55 54-47 46-40 39-33 32-25

V 75-68 67-60 59-52 51-44 43-37 36-30 29-22

SL

Vg 55-48 47-40 39-32 31-24 23-16

D 84-76 75-68 67-60 59-53 52-46 45-49 38-30

Lö 92-83 82-74 73-65 64-56 55-48 47-41 40-32

Al 90-81 80-72 71-64 63-56 55-48 47-41 40-32

V 85-77 76-68 67-59 58-51 50-44 43-36 35-27

sL

Vg 64-55 54-45 44-36 35-27 26-18

D 90-82 81-74 73-66 65-58 57-50 49-43 42-34

Lö 100-92 91-83 82-74 73-65 64-56 55-46 45-36

Al 100-90 89-80 79-71 70-62 61-54 53-45 44-35

V 91-83 82-74 73-65 64-56 55-47 46-39 38-30

L

Vg 70-61 60-51 50-41 40-30 29-19

D 87-79 78-70 69-62 61-54 53-46 45-38 37-28

Al 91-83 82-74 73-65 64-57 56-49 48-40 39-29

V 87-79 78-70 69-61 60-52 51-43 42-34 33-24 LT

Vg 67-58 57-48 47-38 37-28 27-17

D 71-64 63-64 55-48 47-40 39-30 29-18

Al 74-66 65-58 57-50 49-41 40-31 30-18

V 71-63 62-54 53-45 44-36 35-26 25-14 T

Vg 59-51 50-42 41-33 32-24 23-14

Mo 54-46 45-37 36-29 28-22 21-16 15-10

soil data in the baltic states used for derivation of yield index



Sciences Eberswalde


annual percipitation (mm)



Sciences Eberswalde

First results:

annual yield potential winter rye in Germany, Poland and

Baltics



Sciences Eberswalde

Potentials and actually harvested amounts (statistically based) of cereals in Germany and the Baltic States



Sciences Eberswalde

Szenario: BioethanolWinterroggen

Average year (100 %)

Catchment area in dry years

Catchment area for the ethanol plant in Schwedt (winterryre): in average years, in dry years



Sciences Eberswalde

• Soil data of Estonia are already purchased and currently tested on our model

• Finnish soil data are going to be obtained via spatial data exchange plattform

• Latvia: only analog soil data digitalisation?!• Lithuania: soil yield index exists purchase of data

sets possible?• Poland: yield index map exists but difficult to talk with

IUNG/Pulawy about purchasing the data

Soil data situation for more accurate modelling:

At the moment we are modelling with coarse European data



Sciences Eberswalde

WP 3 – Strategies, Networking & Dissemination

Master class course renewable energies – 23.- 27. October 2006 Students, stakeholders, representatives from politics,

economy and society are invited to discuss possibilities of extensive renewable Energy applications

under the patronage of the Brandenburg minister for science, research and culture Dr. Johanna Wanka

Over 100 participants during the 5 days For more information take a look at our BBN website and at

www.fh-eberswalde/mcc-re



Sciences Eberswalde

WP 3 - Networking

Sample Moisture TSW HL-weight Starch Protein Cultivar Kind Harvest HarvestStarchharves

t AZ

No. [%] [gTM] [g OS] [hl/kg] [% TM] [86% TM] [% TM] [% OS] [dt/ha] [TM dt/ ha] [TM dt/ ha]

1 89,0 31,1 34,9 73,40 63,8 54,9 12,5 11,5 Kaupo H 84,7 72,8 46,5

4 89,0 29,8 33,5 73,30 63,9 55,0 10,4 9,4 Kaupo H 82,3 70,8 45,2

7 89,0 30,0 33,7 73,30 63,8 54,9 10,6 9,6 Kaupo H 88,5 76,1 48,6

10 89,0 30,7 34,5 73,50 64,4 55,4 11,1 10,1 Kaupo H 84,4 72,6 46,7

13 89,0 32,4 36,4 74,65 64,7 55,6 10,2 9,2 Kaupo H 95,8 82,4 53,3

2 89,0 29,0 32,6 75,30 64,0 55,0 11,2 10,2 Amilo P 87,0 74,8 47,9

5 89,0 29,0 32,6 76,15 64,8 55,7 11,1 10,1 Amilo P 85,3 73,4 47,5

8 89,0 29,8 33,5 76,15 64,3 55,3 11,3 10,4 Amilo P 90,6 77,9 50,1

11 89,0 30,0 33,7 75,85 64,7 55,6 11,4 10,4 Amilo P 94,3 81,1 52,5

14 89,0 31,5 35,4 77,10 64,6 55,5 11,1 10,2 Amilo P 92,7 79,7 51,5

3 89,0 31,6 35,6 74,95 64,4 55,4 11,0 10,0 Walet P 89,4 76,9 49,5

6 89,0 32,0 36,0 75,30 64,9 55,8 11,3 10,3 Walet P 90,9 78,2 50,8

9 89,0 32,8 36,9 75,55 64,8 55,7 11,2 10,2 Walet P 92,9 79,9 51,8

12 89,0 32,9 36,9 72,50 64,6 55,5 10,5 9,5 Walet P 96,7 83,2 53,7

15 89,0 34,8 39,1 75,95 64,8 55,8 11,3 10,3 Walet P 97,1 83,5 54,2

Average 89,0 31,2 35,0 74,9 64,4 55,4 11,1 10,1 90,2 77,5 50,0

Min 89,0 29,0 32,6 72,5 63,8 54,9 10,2 9,2 82,3 70,8 45,2

Max 89,0 34,8 39,1 77,1 64,9 55,8 12,5 11,5 97,1 83,5 54,2

German Average 88,7 26,4 29,8 71,3 63,5 54,6 10,8 9,8 44,2 37,9 24,3

Min 86,2 13,8 15,9 62,7 55,8 48,0 7,6 6,6 8,0 6,9 4,5

Max 90,7 53,4 60,0 79,5 67,1 57,7 14,7 13,8 92,0 79,1 51,3

Quality management of rye for ethanol production:

• Analysis of regional rye sample from Brandenburg and baltic sea region during 2005, 2006 ...

• To give recommendations for energy crop growing

Example Latvia: ...more Infos at the BBN website



Sciences Eberswalde

Thanks a lot for organising

(and carrying) those rye samples!!!

h. p. piorr, s. laufer university of applied sciences eberswalde bbn meeting – eberswalde,...

Documents

uas eberswalde slide

gis modelling slide

data soil data situation

based wp

potential modelling

gis modelling soil data

coarse european data

bbn website slide