Modeling and optimization of biogas production on saw dust and other co-substrates using Artificial Neural network and Genetic Algorithm

E.B. Gueguim Kana, J.K. Oloke, A. Lateef and M.O. Adesiyan

Renewable Energy, 2012, vol. 46, issue C, 276-281

Abstract: The joint challenge of global pollution and depletion of fossil fuels is driving intense search into alternative renewable sources. This paper reports the modeling and optimization of biogas production on mixed substrates of saw dust, cow dung, banana stem, rice bran and paper waste using Artificial Neural Network (ANN) coupling Genetic Algorithm (GA).

Keywords: Biogas production; Artificial intelligence; Artificial Neural Network; Bioprocess optimization; Genetic Algorithm; Mixed substrates (search for similar items in EconPapers)
Date: 2012
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Citations: View citations in EconPapers (27)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:46:y:2012:i:c:p:276-281

DOI: 10.1016/j.renene.2012.03.027

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