Model selection, identification and validation in anaerobic digestion: A review

被引:224
作者
Donoso-Bravo, Andres [1 ]
Mailier, Johan [1 ]
Martin, Cristina [2 ]
Rodriguez, Jorge [3 ,4 ]
Aceves-Lara, Cesar Arturo [5 ,6 ,7 ]
Vande Wouwer, Alain [1 ]
机构
[1] Univ Mons, Automat Control Lab, B-7000 Mons, Belgium
[2] Univ Laval, ModelEAU, Dept Genie Civil & Genie Eaux, Quebec City, PQ G1V 0A6, Canada
[3] Univ Santiago de Compostela, Dept Chem Engn, Santiago De Compostela, Spain
[4] Masdar Inst Sci & Technol, Abu Dhabi, U Arab Emirates
[5] Univ Toulouse, INSA, UPS, INP,LISBP, F-31077 Toulouse, France
[6] INRA, UMR792, F-31400 Toulouse, France
[7] CNRS, UMR5504, F-31400 Toulouse, France
关键词
Anaerobic digestion; Modeling; Identification; Kinetic parameters; Sensitivity analysis; WASTE-WATER TREATMENT; MICROBIAL COMMUNITY STRUCTURE; OPTIMAL EXPERIMENTAL-DESIGN; NO; ADM1; MATHEMATICAL-MODEL; PARAMETER-IDENTIFICATION; SENSITIVITY-ANALYSIS; BIOGAS PRODUCTION; ACTIVATED-SLUDGE; CO-DIGESTION;
D O I
10.1016/j.watres.2011.08.059
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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. (C) 2011 Elsevier Ltd. All rights reserved.
引用
收藏
页码:5347 / 5364
页数:18
相关论文
共 152 条
[61]  
HILL DT, 1982, T ASAE, V25, P1374
[62]  
HILL DT, 1977, J WATER POLLUT CON F, V49, P2129
[63]   ADM1-based methodology for the characterisation of the influent sludge in anaerobic reactors [J].
Huete, E. ;
de Gracia, M. ;
Ayesa, E. ;
Garcia-Heras, J. L. .
WATER SCIENCE AND TECHNOLOGY, 2006, 54 (04) :157-166
[64]   On a systematic procedure for the predetermination of macroscopic reaction schemes [J].
Hulhoven, X ;
Wouwer, AV ;
Bogaerts, P .
BIOPROCESS AND BIOSYSTEMS ENGINEERING, 2005, 27 (05) :283-291
[65]   Mathematical models of the kinetics of anaerobic digestion - A selected review [J].
Husain, A .
BIOMASS & BIOENERGY, 1998, 14 (5-6) :561-571
[66]  
Illanes A., 2008, ENZYME BIOCATAYSIS P
[67]   Use of near infrared spectroscopy in online-monitoring of feeding substrate quality in anaerobic digestion [J].
Jacobi, H. Fabian ;
Moschner, Christian R. ;
Hartung, Eberhard .
BIORESOURCE TECHNOLOGY, 2011, 102 (07) :4688-4696
[68]   Ten iterative steps in development and evaluation of environmental models [J].
Jakeman, A. J. ;
Letcher, R. A. ;
Norton, J. P. .
ENVIRONMENTAL MODELLING & SOFTWARE, 2006, 21 (05) :602-614
[69]   Analysis and application of ADM1 for anaerobic methane production [J].
Jeong, HS ;
Suh, CW ;
Lim, JL ;
Lee, SH ;
Shin, HS .
BIOPROCESS AND BIOSYSTEMS ENGINEERING, 2005, 27 (02) :81-89
[70]   Exploiting the bootstrap method for quantifying parameter confidence intervals in dynamical systems [J].
Joshi, M. ;
Seidel-Morgenstern, A. ;
Kremling, A. .
METABOLIC ENGINEERING, 2006, 8 (05) :447-455