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DC Field | Value | Language |
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dc.contributor.author | Jain, Nishi | - |
dc.date.accessioned | 2025-03-26T07:16:38Z | - |
dc.date.available | 2025-03-26T07:16:38Z | - |
dc.date.issued | 2024 | - |
dc.identifier.issn | 0195-0738 | - |
dc.identifier.uri | https://thermalscienceapplication.asmedigitalcollection.asme.org/energyresources/article-abstract/146/12/120801/1201804/Downdraft-Gasification-for-Biogas-Production-The?redirectedFrom=fulltext | - |
dc.identifier.uri | http://localhost:8080/xmlui/handle/123456789/1828 | - |
dc.description.abstract | Artificial 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. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Journal of Energy Resource Technology | en_US |
dc.title | Downdraft Gasification for Biogas Production: The Role of Artificial Intelligence | en_US |
Appears in Collections: | VSE&T |
Files in This Item:
File | Description | Size | Format | |
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nishi.docx | 197.78 kB | Microsoft Word XML | View/Open |
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