Advances in Computational Design, Vol. 5, No. 3 (2020) 323-347 DOI: https://doi.org/10.12989/acd.2020.5.3.323 323 Copyright © 2020 Techno-Press, Ltd. http://www.techno-press.org/?journal=acd&subpage=7 ISSN: 2383-8477 (Print), 2466-0523 (Online) Modeling methods used in bioenergy production processes: A review Hamza Akroum 1 , Dahbia Akroum-Amrouche 2 and Abderrezak Aibeche 1 1 Laboratoire d’Automatique Appliquée, Université M’Hamed Bougara de Boumerdès, 1 Av. de l’indépendance 35000 Boumerdès, Algeria 2 Département de chimie, faculté des sciences, Université M’Hamed Bougara de Boumerdes Av. de l’independance 35000 Boumerdes, Algeria (Received March 1, 2019, Revised February 28, 2020, Accepted March 5, 2020) Abstract. The enhancements of bioenergy production effectiveness require the comprehensively experimental study of several parameters affecting these bioprocesses. The interpretation of the obtained experimental results and the estimation of optimum yield are extremely complicated such as misinterpreting the results of an experiment. The use of mathematical modeling and statistical experimental designs can consistently supply the predictions of the potential yield and the identification of defining parameters and also the understanding of key relationships between factors and responses. This paper summarizes several mathematical models used to achieve an adequate overall and maximal production yield and rate, to screen, to optimize, to identify, to describe and to provide useful information for the effect of several factors on bioenergy production processes. The usefulness, the validity and, the feasibility of each strategy for studying and optimizing the bioenergy- producing processes were discussed and confirmed by the good correlation between predicted and measured values. Keywords: system modeling; experimental design methods; neural network design, identification, optimization, bioenergy 1. Introduction The worldwide energy requirement has been rising exponentially, and the reserves of fossil fuels have been decreasing. The dependence on fossil fuels as our primary energy source contributes to global climate change, environmental degradation, health problems and contributes to the greenhouse effect. Environmental and energy concerns are major factors driving research on the green energy production and use of renewable fuels, an eco-friendly, sustainable and cost- effective energy sources that can replace a significant amount of the petroleum fuel, to reduce air pollution and greenhouse gas emissions (Pan et al. 2008, Perera 2017, Pandey et al. 2018). To ensure the sustainability of bioenergy, it is necessary to confirm that the energy produced is greater than the energy consumed in its production. Life cycle assessment is a widely used method to quantify the environmental impacts and cost in bioenergy development (Lardon et al. 2009, Guerrero and Muñoz 2018). Biomass is considered a renewable resource because of its short life Corresponding author, Ph.D., E-mail: akroum@univ-boumerdes.dz