Analysis and application of ADM1 for anaerobic methane production

Bioprocess and Biosystems Engineering

Volumn 27, Issue 2, 2005, Pages 81-89

  Jeong, Hyeong Seok ^a   Suh, Chang Won ^a   Lim, Jae Lim ^b   Lee, Sang Hyung ^a   Shin, Hang Sik ^a  

^a Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

^b Korea Water Resources Corporation   (South Korea)

Author keywords

ADM1; Genetic algorithms; Parameter estimation; Sensitivity analysis

Indexed keywords

BIODEGRADATION; BIOMASS; COMPUTER SIMULATION; GENETIC ALGORITHMS; GLUCOSE; METHANE; OPTIMIZATION; SENSITIVITY ANALYSIS; STOICHIOMETRY;

ANAEROBIC DIGESTION MODEL NO. 1 (ADM1); ANAEROBIC GLUCOSE; ANAEROBIC METHANE; SERUM BOTTLE TEST;

ANAEROBIC DIGESTION;

ACETIC ACID; GLUCOSE; METHANE; PROPIONIC ACID;

ANAEROBIC DIGESTION; ANAEROBIC DIGESTION MODEL 1; ARTICLE; BIOMASS PRODUCTION; DEGRADATION KINETICS; GENETIC ALGORITHM; GLUCOSE METABOLISM; MATHEMATICAL MODEL; PRIORITY JOURNAL; SENSITIVITY ANALYSIS; SIMULATION; STOICHIOMETRY;

ALGORITHMS; BACTERIA, ANAEROBIC; BIOREACTORS; CELL CULTURE TECHNIQUES; CELL PROLIFERATION; COMPUTER SIMULATION; GLUCOSE; HYDROLYSIS; METABOLIC CLEARANCE RATE; METHANE; MODELS, BIOLOGICAL;

EID: 17744365373     PISSN: 16157591     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00449-004-0370-4     Document Type: Article

References (15)

1. Bastone DJ, Keller J, Angelidaki I, Kalyuzhnyi SV, Pavlostathis SG, Rozzi A, Sanders WTM, Siegrist H, Vavilin VA (2002) Anaerobic digestion model no. 1 (ADM1). IWA scientific and technical report no. 13. IWA publishing, London
2. Henze M, Gujer W, Mino T, Loosdrecht M (2000) Activated sludge models ASM1, ASM2, ASM2d and ASM3. IWA scientific and technical report no. 9. IWA publishing, London
3. Vanrolleghem PA, Spanjers H, Britta P, Ginestet P, Takacs I (1999) Estimating (combination of) activated sludge model no. 1 parameters and components by respirometry. Water Sci Technol 39(1):195-214
4. Choi DJ (2000) Modeling for optimization of activated sludge process and parameter estimation using artificial intelligence. PhD thesis, Korea Advanced Institute of Science and Technology, Republic of Korea
5. Mussati M, Gernaey K, Gani R, Jørgensen SB (2002) Computer aided model analysis and dynamic simulation of a wastewater treatment plant. Clean Tech Environ Policy 4:100-114
6. Veldhuizen HM, Loosdrecht MCM, Jeijnen JJ (1999) Modelling biological phosphorus and nitrogen removal in a full scale activated sludge process. Water Res 33(16):3459-3468
7. Krühne U (2000) Stabilisation of biological phosphorus removal from municipal wastewater. PhD thesis, Technical University of Denmark, Denmark
8. Holland JH (1975) Adaptation in natural and artificial systems. University of Michigan Press, Ann Arbor, Michigan
9. Kim S, Lee H, Kim J, Ko J, Woo H, Kim S (2002) Genetic algorithms for the application of activated sludge model no. 1. Water Sci Technol 45(4-5):405-411
10. Wang QJ (1997) Using genetic algorithms to optimise model parameters. Environ Model Software 12(1):27-34
11. Wang PP, Zheng C (1998) An efficient approach for successively perturbed groundwater models. Adv Water Resources 21:499-508
12. Gupta I, Khanna A, Gupta P (1999) Genetic algorithm for optimization of water distribution systems. Environ Model Software 14:437-466
13. Park LJ, Park CH, Park C, Lee T (1997) Application of genetic algorithms to parameter estimation of bioprocesses. Med Eng Comput 35(1):47-49
14. Gujer W, Henze M, Mino T, Loosdrecht M (1999) Activated sludge model no. 3. Water Sci Technol 39(1):183-193
15. Owen WF, Stuckey DC, Healy JB, Young LY Jr, McCarty PL (1979) Bioassay for monitoring biochemical methane potential and anaerobic toxicity. Water Res 13:485-492