Simultaneous OPEX and carbon footprint reduction with hydrogen enhancement in autothermal reforming: a machine learning–based surrogate modeling and optimization framework
The constrained optimization of autothermal reforming (ATR) processes involving multiple conflicting objectives, such as operational expenditure (OPEX), carbon footprint, and hydrogen production, remains a critical challenge in process systems engineering. Although conventional multi-objective optim...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-09-01
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| Series: | Results in Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590123025023588 |
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