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...
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-01-01
|
| Series: | Case Studies in Thermal Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214157X23011413 |