1. Model selection, identification and validation in anaerobic digestion: a review
- Author
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Cristina Martin, Jorge Rodríguez, Johan Mailier, Andres Donoso-Bravo, César Arturo Aceves-Lara, Alain Vande Wouwer, Automatic Control Laboratory, Université de Mons (UMons), modelEAU, Département de génie civil et de génie des eaux, Université Laval [Québec] (ULaval), Universidade de Santiago de Compostela [Spain] (USC ), Masdar Institute of Science and Technology [Abu Dhabi], Laboratoire d'Ingénierie des Systèmes Biologiques et des Procédés (LISBP), Institut National de la Recherche Agronomique (INRA)-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Université de Toulouse (UT)-Institut National des Sciences Appliquées (INSA)-Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS), This paper presents research results of the Belgian Network DYSCO (Dynamical Systems, Control, and Optimization), funded by the Interuniversity Attraction Poles Programme, initiated by the Belgian State, Science Policy Office. The scientific responsibility rests with its author(s). This study is also supported by a grant from Belspo (Belgian Science Policy) through its Postdoc fellowships to non-EU researchers program. Johan Mailier is a research fellow supported by the FNRS (Belgian National Fund for Scientific Research)., and Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)
- Subjects
Engineering ,Identification ,Environmental Engineering ,Process (engineering) ,020209 energy ,engineering ,[SDV]Life Sciences [q-bio] ,02 engineering and technology ,010501 environmental sciences ,water resources ,01 natural sciences ,Field (computer science) ,environmental ,Kinetic parameters ,Water Purification ,Lead (geology) ,Digestion (alchemy) ,Biogas ,Anaerobic digestion ,[SDV.IDA]Life Sciences [q-bio]/Food engineering ,0202 electrical engineering, electronic engineering, information engineering ,[SPI.GPROC]Engineering Sciences [physics]/Chemical and Process Engineering ,Anaerobiosis ,environmental sciences ,Waste Management and Disposal ,0105 earth and related environmental sciences ,Water Science and Technology ,Civil and Structural Engineering ,Waste management ,business.industry ,Ecological Modeling ,Model selection ,Modeling ,Uncertainty ,Reproducibility of Results ,Pollution ,Identification (information) ,Models, Chemical ,13. Climate action ,Biochemical engineering ,business ,Sensitivity analysis - Abstract
International audience; Anaerobic digestion enables waste (water) treatment and energy production in the form of biogas. The successful implementation of this process has lead to an increasing interest worldwide. However, anaerobic digestion is a complex biological process, where hundreds of microbial populations are involved, and whose start-up and operation are delicate issues. In order to better understand the process dynamics and to optimize the operating conditions, the availability of dynamic models is of paramount importance. Such models have to be inferred from prior knowledge and experimental data collected from real plants. Modeling and parameter identification are vast subjects, offering a realm of approaches and methods, which can be difficult to fully understand by scientists and engineers dedicated to the plant operation and improvements. This review article discusses existing modeling frameworks and methodologies for parameter estimation and model validation in the field of anaerobic digestion processes. The point of view is pragmatic, intentionally focusing on simple but efficient methods.
- Published
- 2011