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Comparison of existing models to simulate anaerobic digestion of lipid-rich waste

Authors :
Fabrice Béline
R. Girault
Paul Lessard
R. Rodriguez-Mendez
Y. Le Bihan
Optimisation des procédés en Agriculture, Agroalimentaire et Environnement (UR OPAALE)
Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)
CENTRE DE RECHERCHE INDUSTRIELLE DU QUEBEC CAN
Partenaires IRSTEA
Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)
Université Laval [Québec] (ULaval)
Source :
Bioresource Technology, Bioresource Technology, Elsevier, 2017, 226, pp.99-107. ⟨10.1016/j.biortech.2016.12.007⟩
Publication Year :
2017
Publisher :
HAL CCSD, 2017.

Abstract

International audience; Models for anaerobic digestion of lipid-rich waste taking inhibition into account were reviewed and, if necessary, adjusted to the ADM1 model framework in order to compare them. Experimental data from anaerobic digestion of slaughterhouse waste at an organic loading rate (OLR) ranging from 0.3 to 1.9kgVSm'3d'1 were used to compare and evaluate models. Experimental data obtained at low OLRs were accurately modeled whatever the model thereby validating the stoichiometric parameters used and influent fractionation. However, at higher OLRs, although inhibition parameters were optimized to reduce differences between experimental and simulated data, no model was able to accurately simulate accumulation of substrates and intermediates, mainly due to the wrong simulation of pH. A simulation using pH based on experimental data showed that acetogenesis and methanogenesis were the most sensitive steps to LCFA inhibition and enabled identification of the inhibition parameters of both steps. © 2016 Elsevier Ltd

Details

Language :
English
ISSN :
09608524
Database :
OpenAIRE
Journal :
Bioresource Technology, Bioresource Technology, Elsevier, 2017, 226, pp.99-107. ⟨10.1016/j.biortech.2016.12.007⟩
Accession number :
edsair.doi.dedup.....4e9d526968d0277cafeeb38abc104ec4