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dc.contributor.authorSharma, Vandana
dc.contributor.authorUpreti, Kamal
dc.contributor.authorNatarajan, Arul Kumar
dc.contributor.authorJain, Nishi
dc.contributor.authorKumar, Sanjay
dc.contributor.authorBara, Anant Rajee
dc.contributor.authorKumari, Sushma
dc.date.accessioned2024-12-24T19:05:25Z
dc.date.available2024-12-24T19:05:25Z
dc.date.copyright8/20/2024 12:00:00 AM
dc.date.issued2024
dc.identifier.issn0195-0738
dc.identifier.otherjert_146_12_120801.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4303263
dc.description.abstractArtificial intelligence (AI) can help improve many areas of waste management and biogas generation. The world has reached a state where waste generation is increasing daily, while an effective waste management system is essential for the sustainable development of a country. AI could be of great use in optimizing the waste management scheme by technical differentiation of all sorts and recycling techniques. AI can contribute to the improvement of waste segmentation, recycling, and disposal. Thus, by assessing availability and composition, AI can easily contribute to the selection of the most suitable feedstock for biogas generation. This paper will discuss the optimization of gasifier design, an important part of biogas production, to enhance gasification efficiency for more efficient syngas production. Several gains accrue from AI applications, and among them is the selection of feedstocks and gasifiers optimal for more efficient and sustainable waste management and use in the production of biogas systems. This review paper identifies the potential application areas in either waste management practices or biogas production and puts forward ways in which AI can be used in these areas.
dc.publisherThe American Society of Mechanical Engineers (ASME)
dc.titleDowndraft Gasification for Biogas Production: The Role of Artificial Intelligence
dc.typeJournal Paper
dc.journal.volume146
dc.journal.issue12
dc.journal.titleJournal of Energy Resources Technology
dc.identifier.doi10.1115/1.4066059
dc.journal.fristpage120801-1
dc.journal.lastpage120801-13
dc.page13
dc.treeJournal of Energy Resources Technology:;2024:;volume( 146 ):;issue: 012
dc.contenttypeFulltext


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