| Literature DB >> 27005793 |
Vijay V Nair1, Hiya Dhar2, Sunil Kumar3, Arun Kumar Thalla4, Somnath Mukherjee5, Jonathan W C Wong6.
Abstract
The performance of a laboratory-scale anaerobic bioreactor was investigated in the present study to determine methane (CH4) content in biogas yield from digestion of organic fraction of municipal solid waste (OFMSW). OFMSW consists of food waste, vegetable waste and yard trimming. An organic loading between 40 and 120kgVS/m(3) was applied in different runs of the bioreactor. The study was aimed to focus on the effects of various factors, such as pH, moisture content (MC), total volatile solids (TVS), volatile fatty acids (VFAs), and CH4 fraction on biogas production. OFMSW witnessed high CH4 yield as 346.65LCH4/kgVS added. A target of 60-70% of CH4 fraction in biogas was set as an optimized condition. The experimental results were statistically optimized by application of ANN model using free forward back propagation in MATLAB environment.Entities:
Keywords: Anaerobic bioreactor; Artificial neural network; Methane; Optimization; Total volatile solid
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Year: 2016 PMID： 27005793 DOI： 10.1016/j.biortech.2016.03.046
Source DB: PubMed Journal: Bioresour Technol ISSN： 0960-8524 Impact factor: 9.642