Application of artificial neural network and kinetic modeling for the prediction of biogas and methane production in anaerobic digestion of several organic wastes-Reference-Cited by-同舟云学术

Application of artificial neural network and kinetic modeling for the prediction of biogas and methane production in anaerobic digestion of several organic wastes

Published:2021-04-21 Issue:15 Volume:18 Page:1584-1596
ISSN:1543-5075
Container-title:International Journal of Green Energy
language:en
Short-container-title:International Journal of Green Energy

Author:

Mougari N. E.¹²,Largeau J. F.²³,Himrane N.¹,Hachemi M.¹,Tazerout M.²

Affiliation:

1. Laboratoire Energétique, Mécanique et Ingénieries (LEMI), Faculté de Technologie, Université de M’Hamed Bougara Boumerdes (UMBB), Cité Frantz. Fanon, 35000Boumerdes, Algeria

2. GEPEA- CNRS UMR 6144, IMT Atlantique, 44000 Nantes, France

3. Icam, 35 rue du Champ de Manœuvres, 44430 Nantes, Carquefou, France

Publisher

Informa UK Limited

Subject

Renewable Energy, Sustainability and the Environment

Link

https://www.tandfonline.com/doi/pdf/10.1080/15435075.2021.1914630

Reference43 articles.

1. Modeling and optimization of biogas production from a waste digester using artificial neural network and genetic algorithm

2. An integrated prediction and optimization model of biogas production system at a wastewater treatment facility

3. Anaerobic mesophilic co-digestion of sugar-beet processing wastewater and beet-pulp in batch reactors