uwm3 introduction and organisation - eth z · 2016. 2. 25. · nico derlon, luzia von känel,...

Department of Civil, Environmental and Geomatic Engineering Laboratory for Environmental Engineering

Nico Derlon, Luzia von Känel, Philipp Weber February 2016

UWM3 Introduction and Organisation

Daniel Braun, Jonas Eppler Laboratory for Environmental Engineering



Goals of this course

• Steady state and dynamic simulations of UWM2 lab plants

• Quantify and assess errors and sensitivities

• Apply your theoretical knowledge

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Course materials for today

• Task assignment

• ASIM Tutorial

• Koch et al. (2000) on wastewater characterization

• Systems analysis handout on characteristic times

Download the materials on our website: http://www.sww.ifu.ethz.ch/studium/vorlesungen/Environment_and_Computer_Laboratory_UWM3.html

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http://www.sww.ifu.ethz.ch/studium/vorlesungen/Environment_and_Computer_Laboratory_UWM3.html





Computer courses

• Fr. 26.02.2016, 8:00-11:45

• Steady state simulations in ASIM

• Fr. 04.03.2016, 8:00-11:45

• Dynamic simulations

• Prepare the presentation

• Groups

• 2-3 people from your lab group

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Presentations

• Fr. 18.03.2016, 13:40-17:40

• 10-15 minute presentations

• 5-10 minute question & answer session

• Peer reviewed presentations

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Presentations

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UWM3 Rapid Introduction to ASIM



Start Asim

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1. Step: User Directory and Projects

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Elements of ASIM

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Q, Concentrations

(daily average)

0

2

4

6

8

10

12

14

0 5 10 15 20

Zeit

Ko

nze

ntr

ati

on

Diurnal variation

STol SNO3 SO2 XH

Einheiten gCSB gN gO2 gCSB

Aerob. Wachstum -2 -1 1

Anox. Wachstum -2 -0.350 1

Bio-kinetic model: ASM3

Plant and Operating conditions:

• Sludge age

• O2-Concentration

• Return sludge

• Temperature

Steady state:

Dynamic calculations:

SS, SI, XI, XS, XH …….. State (of the plant)



2. Step: Loding the Bio-kinetic model

Try to understand:

• stoichiometric matrix

• Rate constants

• Kinetics

• Initial coditons

• Influent concentrations

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Load ASM-Model

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Tab Info

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Tab Stoichiometric Matrix

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Tab Rate constants

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Tab Kinetics

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• The saturation values can be displayed by choosing the reaction term.



Tab Initial conditions (of sludge in the reactor)

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Tab Influent concentrations

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Recommended Unit Combinations

Lab Plant Full Scale

Volume L m3

Flow L/d m3/d

Concentrations* mg/L g/m3

Time d d

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* Concentration units depend on the species. For example:

Oxygen mgO2/L Ammonia mgN/L Soluble Substrate mgCOD/L



3. Step: Editing Plant Definition

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Implement your plant:

• Act. sludge reac. or SBR

• Volumes and flowrate

• O2 Setpoint or Kla Value

• …



Menu Plant Definition

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Tab Definition

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Tab Reactors and secondary clarifieres

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Tab: Initial conditions

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Tab: Influent concentrations Fractionation from “Koch et al”

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Tab Definition (SBR)

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Tab State of plant

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4. Step: Running ASIM and Steady State

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CSTR only: Create Variation File

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• Variation > New Variation (right side)

• Close variation file without any change (left side)



Dynamic Simulations

• Computations > Dynamic Simulation

• Click “Start”

• Click “Show Results”

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View Single Chart

• Choose Species

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Single Chart

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Choose Charts for Tile

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Tile

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Have fun

More information:

• Systems Analysis Lecture

• Presentation of Jonas on calibration

• ASIM tutorial

• Other students

• ….

35



UWM3 How to approach ASIM calibrations



Possible approach to characterize influent

1. Choose a steady state time window from UWM2

2. Summarize measured, known variables of the influent

3. Estimate unknown variables a. E.g. estimate different COD-fractions from Koch et al. (2000)

based on total COD measurements

b. E.g. estimate inorganic TSS in the influent based on reactor TSS

4. Resolve contradictory variables a. E.g. you may have measured TN and NH4

+ in the influent, possibly leading to contradictory mass balances:

b. E.g. estimate SNH from TN

37

NO I N,SI S N,SS I N,XI S N,XS H N,BM A ,BN MH NTN S S i S i X i X i X i X iS

total I S I S H A STOCOD S S X X X X X



Possible approach to characterize influent

5. Run a steady state simulation

6. Compare measured and simulated reactor concentrations

7. Change the influent characterization with informed choices • Account for uncertainty ranges of e.g. Q, V, SRT

• Account for uncertainty of COD fraction

• …

38



Appendix


Nico Derlon, Luzia von Känel, Philipp Weber February 2016 40

Total COD in terms of model compounds

dissolved

COD

particulate COD in model

SI SS XS XH XA XI XSP

analyzed total COD

analyzed, particulate COD analyzed, dissolved COD

analyzed suspended solids

mineral

suspended solids in model, XSS

ASM3: Comparison of model compounds and analytical results

mineral



Step 1 Influent characterization Compounds Dimension Concentration iThOD

g COD gi-1

iN

g N gi-1

iTSS

g TSS gi-1

COD Model

g COD m-3

N Model

g N m-3

TSS Model

g TSS m-3

Model

SO g O2 m-3 2 -1 -

SI g COD m-3 15 1 0.01 15 0.15

SS g COD m-3 25 1 0.03 25 0.75

SNH g N m-3 1

SNO g N m-3 0.3 -4.57 1 0

XS 1) g COD m-3 135 1 0.03 0.75 135 4.05 101.25

XH g COD m-3 25 1 0.07 0.9 25 1.75 22.50

XSTO g COD m-3 0 1 0 0.6 0 0 0

XAUT g COD m-3 0 1 0.07 0.9 0 0 0

XI g COD m-3 50 1 0.04 0.75 50 2.0 37.50

XTSS 2) g TSS m-3 181 TSSorg = 161

Difference to measurement 161-120 = 41

Measurements

TSSin g TSS m-3 120 Norg. =

Ntot,in g N m-3 29.5 N =

NH4,in g N m-3 21.0

CODtot,in g COD m-3 250 COD = 250

CODsol,in g COD m-3 85

CODsol,eff g COD m-3 15

Additional mineral fraction in influent model2) in gTSS m-3 + 20

Final model input for XTSS in g TSS m-3 TSS = 181

2) CODmodel,i = fractionsi · COD

1) COD = CODtot,in

4) TSSmodel = Conc Xi · iTSS,i

6) TSS = TSSorg,model - TSSin,meas

5) TSSorg = Sum of TSSmodel,org,i Pa

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D.Weissbrodt, SIWWTP-09, Correction of Homework_week07, EPFL, 11.11.2009

3) Conc Si = iThOD,i · CODmodel,i




g COD gi-1

iN

g N gi-1

iTSS

g TSS gi-1

COD Model

g COD m-3

N Model

g N m-3

TSS Model

g TSS m-3

Model

SO g O2 m-3 2 -1 -

SI g COD m-3 15 1 0.01 15 0.15

SS g COD m-3 25 1 0.03 25 0.75

SNH g N m-3 20.5 1 20.5

SNO g N m-3 0.3 -4.57 1 0.3

XS 1) g COD m-3 135 1 0.03 0.75 135 4.05 101.25

XH g COD m-3 25 1 0.07 0.9 25 1.75 22.50

XSTO g COD m-3 0 1 0 0.6 0 0 0

XAUT g COD m-3 0 1 0.07 0.9 0 0 0

XI g COD m-3 50 1 0.04 0.75 50 2.0 37.50



Measurements

TSSin g TSS m-3 120 Norg. = 8.7

Ntot,in g N m-3 29.5 N = 29.5

NH4,in g N m-3 21.0






2) Nmodel,i = Conc Si · iN,i

1) N = Ntot,in

3) Norg = Sum of Nmodel,org,i

4) Nmodel,NH = N - Norg

5) Conc SNH = iN,NH · Nmodel,NH

Pa

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g COD gi-1

iN

g N gi-1

iTSS

g TSS gi-1

COD Model

g COD m-3

N Model

g N m-3

TSS Model

g TSS m-3

Model

SO g O2 m-3 2 -1 -

SI g COD m-3 15 1 0.01 15 0.15

SS g COD m-3 25 1 0.03 25 0.75

SNH g N m-3 20.5 1 20.5

SNO g N m-3 0.3 -4.57 1 0.3

XS 1) g COD m-3 135 1 0.03 0.75 135 4.05 101.25

XH g COD m-3 25 1 0.07 0.9 25 1.75 22.50

XSTO g COD m-3 0 1 0 0.6 0 0 0

XAUT g COD m-3 0 1 0.07 0.9 0 0 0

XI g COD m-3 50 1 0.04 0.75 50 2.0 37.50



Measurements

TSSin g TSS m-3 120 Norg. = 8.7

Ntot,in g N m-3 29.5 N = 29.5

NH4,in g N m-3 21.0






Pa

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uwm3 introduction and organisation - eth z · 2016. 2. 25. · nico derlon, luzia von känel,...

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