Machine learning-based optimization for catalytic sulfur removal: Computational modeling and analysis of fuel purification for reduction of environmental impacts
Hydrodesulfurization (HDS) process is an important process for separation of sulfur compounds from petroleum-based products due to operational and environmental problems that the sulfur compounds can cause. In this study, this process was evaluated to optimize its performance in removing sulfur comp...
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Format: | Article |
Language: | English |
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Elsevier
2024-01-01
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Series: | Case Studies in Thermal Engineering |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S2214157X23011413 |