20.02.2006 1 2 nd year CROPGEN meeting, 6 th February, Vienna I DI Alexandra Wolfsberger University of Natural Resources and Applied Life Science, Vienna Universität für Bodenkultur Wien WP7 Biokinetic Data, Modelling and Control 2 nd year CROPGEN meeting, 6 th February 2006, Vienna Alexandra Wolfsberger University of Natural Resources and Applied Life Science, Vienna Department of Biotechnology Institute for Applied Microbiology
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Applied Life Science, Vienna Modelling and Control Vienna mini-symposium/VMS_07_Wolfsberger.pdfApplied Life Science, Vienna Universität für Bodenkultur Wien Objectives •Further
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20.02.2006 12nd year CROPGEN meeting, 6th February, Vienna I DI Alexandra Wolfsberger
University of Natural Resources andApplied Life Science, ViennaUniversität für Bodenkultur WienWP7 Biokinetic Data,
Modelling and Control
2nd year CROPGEN meeting, 6th February 2006, ViennaAlexandra WolfsbergerUniversity of Natural Resources and Applied Life Science,ViennaDepartment of BiotechnologyInstitute for Applied Microbiology
20.02.2006 22nd year CROPGEN meeting, 6th February, Vienna I DI Alexandra Wolfsberger
University of Natural Resources andApplied Life Science, ViennaUniversität für Bodenkultur Wien
ContentContent
•Objectives
•Anaerobic Digestions Models
•Anaerobic Digestion Model No.1
•Advantages & Disadvantages
•Parameter
•Implementation, Extensions and Adaptation
•Virtual Laboratory
•Summary & Conclusion
20.02.2006 32nd year CROPGEN meeting, 6th February, Vienna I DI Alexandra Wolfsberger
University of Natural Resources andApplied Life Science, ViennaUniversität für Bodenkultur Wien
ObjectivesObjectives
•Further development of an existing Anaerobic Digestion Model
•Implementation of this model in a web-based Virtual Laboratory (VL)
•Basis of the VL is the Anaerobic Digestion Model No.1 (Batstone et al., 2002)
•Creation of a Decision Support System
•Identification of process-control strategies and fermentation mixtures
20.02.2006 42nd year CROPGEN meeting, 6th February, Vienna I DI Alexandra Wolfsberger
University of Natural Resources andApplied Life Science, ViennaUniversität für Bodenkultur Wien
•Hydrolysis controlled Anaerobic Digestion (Jain et al., 1991)
•Model for Dynamic Simulation of Complex Substrates - Focusing onAmmonia inhibition (Angelidaki et al., 1993)
•Simulation Model <Methane> (Vavilin et al., 1993)
•Comprehensive Model of Anaerobic Bioconversion of Complex substrates(Angelidaki et al., 1998)
•Model for Meso- and Thermophilic Anaerobic Sewage Sludge(Siegrist et al., 2002)
•Anaerobic Digestion Model No.1 (ADM1) (Batstone et al., 2002)
20.02.2006 52nd year CROPGEN meeting, 6th February, Vienna I DI Alexandra Wolfsberger
University of Natural Resources andApplied Life Science, ViennaUniversität für Bodenkultur Wien
Anaerobic Digestion model No.1Anaerobic Digestion model No.1(ADM1)(ADM1)
Pa r t i c ul a t e s ( i nc l udi ng i na c t i ve bi oma s s )Pa r t i c ul a t e s ( i nc l udi ng i na c t i ve bi oma s s )
Me t ha ne , Me t ha ne , Ca r bon Di oxi deCa r bon Di oxi de
Hydr oge nHydr oge nAc e t a t eAc e t a t e
Pr opi ona t ePr opi ona t e But yr a t e , But yr a t e , Va l e r a t eVa l e r a t e
Long c ha i n Long c ha i n f a t t y a c i dsf a t t y a c i ds
Suga r sSuga r s Ami no a c i dsAmi no a c i ds
Li pi dsLi pi dsPr ot e i nsPr ot e i nsCa r bohydr a t e s Ca r bohydr a t e s I ne r t s I ne r t s ( s ol ubl e ( s ol ubl e a nd pa r t i c ul a r )a nd pa r t i c ul a r )
Pa r t i c ul a t e s ( i nc l udi ng i na c t i ve bi oma s s )Pa r t i c ul a t e s ( i nc l udi ng i na c t i ve bi oma s s )
Me t ha ne , Me t ha ne , Ca r bon Di oxi deCa r bon Di oxi de
Hydr oge nHydr oge nAc e t a t eAc e t a t e
Pr opi ona t ePr opi ona t e But yr a t e , But yr a t e , Va l e r a t eVa l e r a t e
Long c ha i n Long c ha i n f a t t y a c i dsf a t t y a c i ds
Suga r sSuga r s Ami no a c i dsAmi no a c i ds
Li pi dsLi pi dsPr ot e i nsPr ot e i nsCa r bohydr a t e s Ca r bohydr a t e s I ne r t s I ne r t s ( s ol ubl e ( s ol ubl e a nd pa r t i c ul a r )a nd pa r t i c ul a r )
Li pi dsLi pi dsPr ot e i nsPr ot e i nsCa r bohydr a t e s Ca r bohydr a t e s I ne r t s I ne r t s ( s ol ubl e ( s ol ubl e a nd pa r t i c ul a r )a nd pa r t i c ul a r ) •Model is structured in several steps
characterising the biochemicalprocesses
•DAE: 26 dynamic state variables19 biochemical kineticprocesses3 gas-liquid transfer kineticprocesses
•DE: 32 dynamic state variables6 acid base kineticprocesses
•Implementation in a CSTR
20.02.2006 62nd year CROPGEN meeting, 6th February, Vienna I DI Alexandra Wolfsberger
University of Natural Resources andApplied Life Science, ViennaUniversität für Bodenkultur Wien
Anaerobic Digestion model No.1Anaerobic Digestion model No.1
•First unified model
•Unified Nomenclature and Kinetics
•Basis for further model approaches
•Describes Process Details
•Lower overall data amount compared to Neuronal Networks
AdvantagesAdvantages
20.02.2006 72nd year CROPGEN meeting, 6th February, Vienna I DI Alexandra Wolfsberger
University of Natural Resources andApplied Life Science, ViennaUniversität für Bodenkultur Wien
•Need to understand the model
•The model is simplifying the AD process
•No validation of biological parameters
•No information on the effect of inhibitory compounds
•No information on the effect on kinetics in differenttemperature ranges
•Requirement of detailed substrate definition
•The COD flow is rather complex
Anaerobic Digestion model No.1Anaerobic Digestion model No.1DisadvantagesDisadvantages
20.02.2006 82nd year CROPGEN meeting, 6th February, Vienna I DI Alexandra Wolfsberger
University of Natural Resources andApplied Life Science, ViennaUniversität für Bodenkultur Wien
Anaerobic Digestion model No.1Anaerobic Digestion model No.1
•Solid Precipitation
•Homoacetogenesis
•Acetate Oxidation
•Lang Chain Fatty Acids Inhibition
•Weak Acid and Fatty Acid Inhibition
•Denitrification
•Sulphate Reduction and Sulphide Inhibition
•Glucose Fermentation
Exclusions from the ADM1Exclusions from the ADM1
20.02.2006 92nd year CROPGEN meeting, 6th February, Vienna I DI Alexandra Wolfsberger
University of Natural Resources andApplied Life Science, ViennaUniversität für Bodenkultur Wien
Anaerobic Digestion model No.1Anaerobic Digestion model No.1
•Parameters quoted in the ADM1have a high range of margin
•Parameters suggested from theTask group are suitable for sewagesludge