Parametric optimization for floating drum anaerobic bio-digester using Response Surface Methodology and Artificial Neural Network

Parametric optimization for floating drum anaerobic bio-digester using Response Surface Methodology and Artificial Neural Network

The main purpose of this study to increase the optimal conditions for biogas yield from anaerobic digestion of agricultural waste (Rice Straw) using Response Surface Methodology (RSM) and Artificial Neural Network (ANN). In the development of predictive models temperature, pH, substrate concentratio...

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Bibliographic Details
Main Authors: S. Sathish, S. Vivekanandan
Format: Article
Language:English
Published: Elsevier 2016-12-01
Series:Alexandria Engineering Journal
Subjects:
Biogas yield
Optimization
Temperature
Anaerobic digestion
RSM
Artificial Neural Network
Online Access:http://www.sciencedirect.com/science/article/pii/S1110016816302216

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http://www.sciencedirect.com/science/article/pii/S1110016816302216

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