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contributor authorSharma, Vandana
contributor authorUpreti, Kamal
contributor authorNatarajan, Arul Kumar
contributor authorJain, Nishi
contributor authorKumar, Sanjay
contributor authorBara, Anant Rajee
contributor authorKumari, Sushma
date accessioned2024-12-24T19:05:25Z
date available2024-12-24T19:05:25Z
date copyright8/20/2024 12:00:00 AM
date issued2024
identifier issn0195-0738
identifier otherjert_146_12_120801.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4303263
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.
publisherThe American Society of Mechanical Engineers (ASME)
titleDowndraft Gasification for Biogas Production: The Role of Artificial Intelligence
typeJournal Paper
journal volume146
journal issue12
journal titleJournal of Energy Resources Technology
identifier doi10.1115/1.4066059
journal fristpage120801-1
journal lastpage120801-13
page13
treeJournal of Energy Resources Technology:;2024:;volume( 146 ):;issue: 012
contenttypeFulltext


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