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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
  • , Narinderjit Singh Sawaran Singh
  • INTI International University
  • University of Warith Alanbiyaa
  • GLA University
  • Chitkara University
  • Najran University
  • Northern Borders University
  • University of Hail

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

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.

Original languageEnglish
Pages (from-to)443-452
Number of pages10
JournalInternational Journal of Low-Carbon Technologies
Volume20
DOIs
StatePublished - 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  2. SDG 13 - Climate Action
    SDG 13 Climate Action

Keywords

  • CO capture
  • Clean hydrogen
  • E-methanol
  • Financial evaluation
  • multi-objective optimization

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