Sensitivity analysis and artificial neural network-based optimization for low-carbon H2 production via a sorption-enhanced steam methane reforming (SESMR) process integrated with separation process
Year: 2021
Type: article
Institution: Yonsei University
Language: English
Subfield: Biomedical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: closed
Award: G3036721750
OpenAlex ID: W3209979818
