4.8 Review

Review on anaerobic digestion models: Model classification & elaboration of process phenomena

Journal

RENEWABLE & SUSTAINABLE ENERGY REVIEWS
Volume 160, Issue -, Pages -

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.rser.2022.112288

Keywords

Biogas; Anaerobic digestion; Single-equation model; Single-step degradation model; Multi-step dynamic model; AM2; ADM1; Mathematical modelling; Heat and mass transfer; Hydrolysis; Model classification; Microbial kinetics

Funding

  1. Internal Grant Agency of the Tomas Bata University in Zlin, Czech Republic [IGA/CebiaTech/2020/001, IGA/CebiaTech/2021/002]

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This article reviews mathematical models of anaerobic digestion (AD) and classifies them. In addition, it discusses the biochemical stages and other processes essential to AD, and reviews the models on these processes. The comprehensive approach of this review aims to evaluate the interdependence and individual and interactive effects of all processes, process factors, and process estimations on AD.
Biogas is a well-established renewable energy source produced from anaerobic digestion (AD) of biomass/ feedstock. It is probably the most versatile and efficient biofuel in terms of utilisable feedstocks and energy applications. To monitor, optimise, and control anaerobic digestion (AD), numerous mathematical models describing AD have been developed and reported. Although literature on the use of these models and their reviews have been published, their differences have not been collectively analysed and no generalised classification criteria for these models has been proposed based on such an analysis. This review covers most reported AD models, from the simplest linear equation capturing biogas production rate to complex Anaerobic Digestion Model No. 1. In addition to model classification and biochemical stages in AD, other processes like feedstock hydrolysis or mass and heat transfer essential to AD were discussed, analysed, and available models on them reviewed. This collective and comprehensive review approach has been undertaken to enable the evaluation of the interdependence of all processes, process factors, and process estimations and their individual, and interactive effects on AD.

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