Multi-objective optimization evaluation of renewable and clean methanol synthesis DOI Creative Commons
Tao Hai,

Rassol Hamed Rasheed,

Aman Sharma

et al.

International Journal of Low-Carbon Technologies, Journal Year: 2025, Volume and Issue: 20, P. 443 - 452

Published: Jan. 1, 2025

Abstract This study examines the feasibility of establishing a power-to-fuel facility for synthesizing renewable methanol (e-methanol) through integration green hydrogen and captured carbon dioxide. Hydrogen is produced via water electrolysis using surplus electricity, while dioxide from conventional power plant’s emissions an amine-based absorption process. Despite current economic constraints, with production costs exceeding market prices methanol, highlights potential future competitiveness, especially considering impending European regulatory frameworks. Furthermore, employs hybrid Grey Wolf Optimizer–Particle Swarm Optimization approach to balance trade-offs between cost energy efficiency.

Language: Английский

Multi-objective optimization evaluation of renewable and clean methanol synthesis DOI Creative Commons
Tao Hai,

Rassol Hamed Rasheed,

Aman Sharma

et al.

International Journal of Low-Carbon Technologies, Journal Year: 2025, Volume and Issue: 20, P. 443 - 452

Published: Jan. 1, 2025

Abstract This study examines the feasibility of establishing a power-to-fuel facility for synthesizing renewable methanol (e-methanol) through integration green hydrogen and captured carbon dioxide. Hydrogen is produced via water electrolysis using surplus electricity, while dioxide from conventional power plant’s emissions an amine-based absorption process. Despite current economic constraints, with production costs exceeding market prices methanol, highlights potential future competitiveness, especially considering impending European regulatory frameworks. Furthermore, employs hybrid Grey Wolf Optimizer–Particle Swarm Optimization approach to balance trade-offs between cost energy efficiency.

Language: Английский

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