IDEAS home Printed from https://ideas.repec.org/a/oup/ijlctc/v20y2025ip443-452..html
   My bibliography  Save this article

Multi-objective optimization evaluation of renewable and clean methanol synthesis

Author

Listed:
  • Tao Hai
  • Rassol Hamed Rasheed
  • Aman Sharma
  • Aashim Dhawan
  • Prabhat Sharma
  • Husam Rajab
  • Nidhal Becheikh
  • Walid Aich
  • Lioua Kolsi
  • Narinderjit Singh Sawaran Singh

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.

Suggested Citation

  • Tao Hai & Rassol Hamed Rasheed & Aman Sharma & Aashim Dhawan & Prabhat Sharma & Husam Rajab & Nidhal Becheikh & Walid Aich & Lioua Kolsi & Narinderjit Singh Sawaran Singh, 2025. "Multi-objective optimization evaluation of renewable and clean methanol synthesis," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 20, pages 443-452.
    • Handle: RePEc:oup:ijlctc:v:20:y:2025:i::p:443-452.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/ijlct/ctae295
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:oup:ijlctc:v:20:y:2025:i::p:443-452.. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Oxford University Press (email available below). General contact details of provider: https://academic.oup.com/ijlct .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.