Application Strategy of the Genetic Algorithm to Parameter Estimation in Biofiltration
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초록
The mathematical modeling of a biofilter for effective biological gas removal has been problematic because of uncertain parameters incorporated into complicated equations. These parameters represent the critical factors in biofilter design and operation, such as mass transfer, biodegradation, and subsequent biofilm growth. Such parameters, which are highly site specific, should be estimated in biofilter operation. To resolve this issue, the application of the original Genetic Algorithm (GA) and its modified technique, an improved differential evolution method, was investigated as a global optimization technique, for optimal estimation of the parameters. Previous studies on the application of GA to biofiltration modeling were reviewed. Based on the review, a proper GA application strategy was developed by integrating GA with other conventional optimization and scientific/engineering-based models for enhanced computational efficiency. Thereby, the optimality of the strategy for parameter estimation was confirmed.
Abstract
The mathematical modeling of a biofilter for effective biological gas removal has been problematic because of uncertain parameters incorporated into complicated equations. These parameters represent the critical factors in biofilter design and operation, such as mass transfer, biodegradation, and subsequent biofilm growth. Such parameters, which are highly site specific, should be estimated in biofilter operation. To resolve this issue, the application of the original Genetic Algorithm (GA) and its modified technique, an improved differential evolution method, was investigated as a global optimization technique, for optimal estimation of the parameters. Previous studies on the application of GA to biofiltration modeling were reviewed. Based on the review, a proper GA application strategy was developed by integrating GA with other conventional optimization and scientific/engineering-based models for enhanced computational efficiency. Thereby, the optimality of the strategy for parameter estimation was confirmed.
참고문헌 (22)
- Diks RMM, "Verification studies of a simplified model for the removal of dichloromethane from waste gases using a biological trickling filter(Part II)", Bioprocess Eng, 6, pp.131~140 (1991)
- Diks RMM, "Verification studies of a simplified model for the removal of dichloromethane from waste gases using a biological trickling filter(Part I)", Bioprocess Eng, 6, pp.93~99 (1991)
- Barton JW, "Estimation of mass transfer and kinetics in operating trickle-bed bioreac-tors for removal of VOCs", Environ Prog, 18, pp.87~92 (1999)
- Barton JW, "Microbial removal of alkanes from dilute gaseous waste streams : mathe-matical modeling of advanced bioreactor systems", J Chem Technol Biotechnol, 72, pp.93~98 (1998)
- Barton JW, "Microbial removal of alkanes from dilute gaseous waste streams: kinetics and mass transfer considerations", Biotechnol Prog, 13, pp.814~821 (1997)
- Deshusses MA, "Behaviors of biofilters for waste air biotreatment. 1. Dynamic model development", Envi-ron Sci Technol, 29, pp.1048~1058 (1995)
- Deshusses MA, "Behaviors of biofilters for waste air biotreatment. 2. Experimental evaluation of a dynam-ic model", Environ Sci Technol, 29, pp.1059~1068 (1995)
- Alonso C, "Dynamic mathemati-cal model for the biodegradation of VOCs in a biofilter : Bio-mass accumulation study", Environ Sci Technol, 32, pp.3118~3123 (1998)
- Alonso C, "Parameter estimation in biofilter systems", Environ Sci Technol, 34, pp.2318~2323 (2000)
- Bhat TR, "An improved differential evolution method for efficient parameter estimation in biofilter modeling", Biochem Eng J, 28, pp.167~176 (2006)
- Lee SH, "Ethylene removal using biotrickling filters:part II. Parameter estimation and mathematical simulation", Chem Eng J, 158, pp.89~99 (2010)
- Spigno G, "Modeling of a vapor-phase fungi bio-reactor for the abatement of hexane : fluid dynamics and kinetic aspects", Biotechnol Bioeng, 89, pp.319~324 (2005)
- Belegundu AD, "Optimization concepts and applications in engineering" (1999), Prentice Hall
- Haupt RL, "Practical genetic algorithms" (2004), Wiley-Inter-science
- Barricelli NA, "Symbiogenetic evolution processes realized by artificial methods", Methodos, pp.143~182 (1957)
- Holland JH, "Adaptation in natural and artificial systems" (1975), Uni-versity of Michigan Press
- Park LJ, "Application of genetic algo-rithms to parameter estimation of bioprocesses", Med Biol Eng Comput, 35, pp.47~49 (1997)
- Ranganath M, "Identification of bioprocesses using genetic algorithm", Bioproc & Biosyst Eng, 21, pp.123~127 (1999)
- Roeva O, "A modified genetic algorithm for a parameter identi-fication of fermentation processes", Biotechnol & Biotech, 20, pp.202~209 (2006)
- Lee SH, "Simultaneous removal of ethylene and ammonia gases using air biofiltration", Ph.D, pp.2010
- 이상훈, "Applicability of Biofiltration to Indoor Air Control in a Confined Space", Quantitative Bio-Science, 37(1), pp.43~47 (2018), 자연과학연구소[DOI]
- 이상훈, "Mathematical Modeling for Gas Removal in a Fixed-film Bio-scrubber Process", Quantitative Bio-Science, 37(1), pp.27~32 (2018), 자연과학연구소[DOI]