Multi-objective optimization evaluation of renewable and clean methanol synthesis
Tao Hai,
Rassol Hamed Rasheed,
Aman Sharma,
Aashim Dhawan,
Prabhat Sharma,
Husam Rajab,
Nidhal Becheikh,
Walid Aich,
Lioua Kolsi and
Narinderjit Singh Sawaran Singh
International Journal of Low-Carbon Technologies, 2025, vol. 20, 443-452
Abstract:
This study examines the feasibility of establishing a power-to-fuel facility for synthesizing renewable methanol (e-methanol) through the integration of green hydrogen and captured carbon dioxide. Hydrogen is produced via water electrolysis using surplus renewable electricity, while carbon dioxide is captured from a conventional power plant’s emissions through an amine-based absorption process. Despite the current economic constraints, with production costs exceeding current market prices for methanol, the study highlights potential future competitiveness, especially considering impending European regulatory frameworks. Furthermore, the study employs a hybrid Grey Wolf Optimizer–Particle Swarm Optimization approach to balance the trade-offs between methanol production cost and energy efficiency.
Keywords: Clean hydrogen; CO2 capture; Financial evaluation; E-methanol; multi-objective optimization (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1093/ijlct/ctae295 (application/pdf)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:oup:ijlctc:v:20:y:2025:i::p:443-452.
Access Statistics for this article
International Journal of Low-Carbon Technologies is currently edited by Saffa B. Riffat
More articles in International Journal of Low-Carbon Technologies from Oxford University Press
Bibliographic data for series maintained by Oxford University Press ().