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Anaerobic co-digestion of food waste, algae, and cow dung for biogas yield enhancement as a prospective approach for environmental sustainability

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dc.contributor.author Soni, Manoj Kumar
dc.date.accessioned 2023-09-21T06:03:06Z
dc.date.available 2023-09-21T06:03:06Z
dc.date.issued 2022-08
dc.identifier.uri https://www.sciencedirect.com/science/article/abs/pii/S2213138822002880
dc.identifier.uri http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/12002
dc.description.abstract The enduring economic and environmental concerns have prompted extensive research in bioenergy in recent decades. Biogas is an effective carbon-free, sustainable energy source generated by the anaerobic digestion of biological wastes. Biogas production is promoted globally to decrease carbon emissions and maximize resource recycling from various wastes. The extant work examines biogas production in an anaerobic digester using co-digestion, which uses food wastes, algae, chicken, and fish mixed with cow manure. A physicochemical pre-treatment is used to change the lignocellulosic structure of the mixture of the wastes prior to the anaerobic co-digestion. The response surface technique is used to optimize the co-digestion factors, like pH, F/I ratio, organic loading rate, temperature, and concentration of the wastes. The optimal values of cumulative CO2, methane, and biogas have been obtained as 30.18 ml, 1345.97 ml, and 2244.58 ml, respectively. en_US
dc.language.iso en en_US
dc.publisher Elsevier en_US
dc.subject Mechanical Engineering en_US
dc.subject Biogas en_US
dc.subject Optimization en_US
dc.subject Response surface method en_US
dc.subject Chemical pre-treatment en_US
dc.subject Mathematical Modelling en_US
dc.subject Physicochemical pretreatment en_US
dc.subject Anaerobic codiestion en_US
dc.subject Carbon free en_US
dc.subject Sustainable energy en_US
dc.title Anaerobic co-digestion of food waste, algae, and cow dung for biogas yield enhancement as a prospective approach for environmental sustainability en_US
dc.type Article en_US


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