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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM7681
Volume:
5 |
4 |
Apr 2021
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Biogas generation rate plays an important role in the technoeconomic feasibility of biogas plants. In the present study, the biogas is generated from different types of food wastes in combination with cow dung. An artificial neural network modelling has been applied to predict the biogas yield as output and input as various proportions of food wastes using two different types of backpropagation algorithms, such as the Levenberg–Marquardt and scaled conjugate gradient. Simulated results are compared with experimental results. Finding and using renewable sources of energy is one of the methods to combat the ever increasing global warming effectively.
KEYWORDS
Publication Date
12/4/2023
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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No funding information available for this research.
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