Modelling inhibitory effects of long chain fatty acids in the anaerobic digestion process

WATER RESEARCH

卷:47

Article

Zonta, Z.^1,2  Alves, M. M.³  Flotats, X.^1,2  Palatsi, J.¹ 

[1] GIRO Joint Res Unit IRTA UPC, IRTA, E-08140 Barcelona, Spain

[2] Univ Politecn Catalunya UPC, Dept Agrifood Engn & Biotechnol, E-08860 Barcelona, Spain

[3] Univ Minho, Ctr Biol Engn, IBB Inst Biotechnol & Bioengn, P-471057 Braga, Portugal

关键词: Anaerobic digestion;    LCFA inhibition;    Mathematical modelling;    ADM1;   

DOI  :  10.1016/j.watres.2012.12.007

来源: Elsevier

【 摘 要 】

Mathematical modelling of anaerobic digestion process has been used to give new insights regarding dynamics of the long chain fatty acids (LCFA) inhibition. Previously published experimental data, including batch tests with clay mineral bentonite additions, were used for parameter identification. New kinetics were considered to describe the bio-physics of the inhibitory process, including: i) adsorption of LCFA over granular biomass and specific LCFA substrate (saturated/unsaturated) and LCFA-degrading populations. Furthermore, a new variable was introduced to describe the state of damage of the acetoclastic methanogens in order to account for the loss of cell-functionality (inhibition) induced by the adsorbed LCFAs. The proposed model modifications are state compatible and easy to be integrated into the International Water Association's Anaerobic Digestion Model No 1 (ADM1) framework. Practical identifiability of model parameters was assessed with a global sensitivity analysis, while calibration and model structure validation were performed on independent data sets. A reliable simulation of the LCFA-inhibition process can be achieved, if the model includes the description of the adsorptive nature of the LCFAs and the LCFA-damage over specific biomass. The importance of microbial population structure (saturated/unsaturated LCFA-degraders) and the high sensitivity of acetoclastic population to LCFA are evidenced, providing a plausible explanation of experimental based hypothesis. (C) 2012 Elsevier Ltd. All rights reserved.

【 授权许可】

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