Literature DB >> 28365343

A systematic methodology to extend the applicability of a bioconversion model for the simulation of various co-digestion scenarios.

Adam Kovalovszki1, Merlin Alvarado-Morales1, Ioannis A Fotidis1, Irini Angelidaki2.   

Abstract

Detailed simulation of anaerobic digestion (AD) requires complex mathematical models and the optimization of numerous model parameters. By performing a systematic methodology and identifying parameters with the highest impact on process variables in a well-established AD model, its applicability was extended to various co-digestion scenarios. More specifically, the application of the step-by-step methodology led to the estimation of a general and reduced set of parameters, for the simulation of scenarios where either manure or wastewater were co-digested with different organic substrates. Validation of the general parameter set involved the simulation of laboratory-scale data from three continuous co-digestion experiments, treating mixtures of different organic residues either at thermophilic or mesophilic conditions. Evaluation of the results showed that simulations using the general parameter set fitted experimental data quite well, indicating that it offers a reliable reference point for future simulations of anaerobic co-digestion scenarios.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Anaerobic digestion; Dynamic simulation; Mathematical modeling; Organic residue; Parameter set

Mesh:

Substances:

Year:  2017        PMID: 28365343     DOI: 10.1016/j.biortech.2017.03.101

Source DB:  PubMed          Journal:  Bioresour Technol        ISSN: 0960-8524            Impact factor:   9.642


  2 in total

1.  Early warning indicators for mesophilic anaerobic digestion of corn stalk: a combined experimental and simulation approach.

Authors:  Yiran Wu; Adam Kovalovszki; Jiahao Pan; Cong Lin; Hongbin Liu; Na Duan; Irini Angelidaki
Journal:  Biotechnol Biofuels       Date:  2019-05-03       Impact factor: 6.040

2.  Microbial activity response to hydrogen injection in thermophilic anaerobic digesters revealed by genome-centric metatranscriptomics.

Authors:  Alessandra Fontana; Panagiotis G Kougias; Laura Treu; Adam Kovalovszki; Giorgio Valle; Fabrizio Cappa; Lorenzo Morelli; Irini Angelidaki; Stefano Campanaro
Journal:  Microbiome       Date:  2018-10-27       Impact factor: 14.650

  2 in total

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