Application of Anaerobic Digestion Model No. 1 to describe the syntrophic acetate oxidation of poultry litter in thermophilic anaerobic digestion

被引:21
|
作者
Rivera-Salvador, Victor [1 ]
Lopez-Cruz, Irineo L. [2 ]
Espinosa-Solares, Teodoro [1 ,3 ]
Aranda-Barradas, Juan S. [4 ]
Huber, David H. [3 ,5 ]
Sharma, Deepak [3 ,5 ]
Toledo, J. Ulises [3 ]
机构
[1] Univ Autonoma Chapingo, Dept Ingn Agroind, Chapingo 56230, Estado De Mexic, Mexico
[2] Univ Autonoma Chapingo, Chapingo 56230, Estado De Mexic, Mexico
[3] West Virginia State Univ, Gus R Douglass Inst, Institute, WV 25112 USA
[4] Inst Politecn Nacl, Unidad Profes Interdisciplinaria Biotecnol, Mexico City 07340, DF, Mexico
[5] West Virginia State Univ, Dept Biol, Institute, WV 25112 USA
基金
美国国家科学基金会;
关键词
Differential evolution algorithms; Non-linear least squares; Kinetic parameters; Parameter estimation; Anaerobic digestion model; MICROBIAL COMMUNITY STRUCTURE; ENERGY-BALANCE; PURE CULTURE; ACID; BACTERIUM; WASTE; METHANOGENESIS; DEGRADATION; METABOLISM; KINETICS;
D O I
10.1016/j.biortech.2014.06.008
中图分类号
S2 [农业工程];
学科分类号
0828 ;
摘要
A molecular analysis found that poultry litter anaerobic digestion was dominated by hydrogenotrophic methanogens which suggests that bacterial acetate oxidation is the primary pathway in the thermophilic digestion of poultry litter. IWA Anaerobic Digestion Model No. 1 (ADM1) was modified to include the bacterial acetate oxidation process in the thermophilic anaerobic digestion (TAD). Two methods for ADM1 parameter estimation were applied: manual calibration with non-linear least squares (MC-NLLS) and an automatic calibration using differential evolution algorithms (DEA). In terms of kinetic parameters for acetate oxidizing bacteria, estimation by MC-NLLS and DEA were, respectively, km 1.12 and 3.25 +/- 0.56 kg(COD) kg(COD)(1) d(1), K-S 0.20 and 0.29 +/- 0.018 kg(COD)m(3) and Yac-st 0.14 and 0.10 +/- 0.016 kg(COD) kg(COD)(1). Experimental and predicted volatile fatty acids and biogas composition were in good agreement. Values of BIAS, MSE or INDEX demonstrate that both methods (MC-NLLS and DEA) increased ADM1 accuracy. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码:495 / 502
页数:8
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