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Veuillez utiliser cette adresse pour citer ce document : http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/5983

Titre: Modeling methods used in bioenergy production processes: A review
Auteur(s): Akroum, Hamza
Akroum-Amrouche, Dahbia
Aibeche, Abderrazak
Mots-clés: system modeling
experimental design methods
neural network design
identification
optimization
bioenergy
Date de publication: 2020
Editeur: Techno press
Collection/Numéro: Advances in Computational Design, 5(3);PP. 323-347
Résumé: 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
URI/URL: http://www.techno-press.org/content/?page=article&journal=acd&volume=5&num=3&ordernum=7#
http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/5983
ISSN: 23838477
Collection(s) :Publications Internationales

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