IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v267y2026ics0960148126005148.html

Multi-objective optimization of process industrial energy systems containing hydrogen energy

Author

Listed:
  • Luo, Zhao
  • Zheng, Li
  • Liu, Dewen
  • Zhang, Tao
  • Sun, Qixiong
  • Liang, Junkai
  • Shen, Xin
  • Wang, Hua
  • Li, Jiahao
  • Yin, Yujun
  • Xu, Wancheng
  • Wang, Yuqin
  • Tang, Ying
  • Yan, Huan
  • Li, Fangshun

Abstract

As a typical process industry, the iron and steel industry is an important pillar of global economic development, and its high output is accompanied by a large amount of energy consumption and carbon emissions. Aiming at the demand for energy efficiency improvement and low-carbon transformation of the iron and steel industry, this paper proposes an integrated energy system (IES) optimization method based on multifaceted hydrogen production and carbon capture technology. The synergistic optimization of the iron and steel production system and the energy system is achieved with the objective function of minimizing the total system operation cost and maximizing the energy utilization rate. The study used the ε-constraint method for multi-objective optimization solutions and designed four scenarios for system analysis. The optimization results show that the steel industry optimizes the steel production process by introducing hydrogen production from electricity and hydrogen production from by-product gas. Concurrent consideration of Carbon Capture and Storage (CCS) technology further improves system energy utilization by 18.58% and reduces total costs by 7.87%. Under a stepwise carbon trading mechanism, system operating costs decrease further. These results guide other energy-consuming process industries to save energy and increase efficiency, and operate in a low-carbon economy.

Suggested Citation

  • Luo, Zhao & Zheng, Li & Liu, Dewen & Zhang, Tao & Sun, Qixiong & Liang, Junkai & Shen, Xin & Wang, Hua & Li, Jiahao & Yin, Yujun & Xu, Wancheng & Wang, Yuqin & Tang, Ying & Yan, Huan & Li, Fangshun, 2026. "Multi-objective optimization of process industrial energy systems containing hydrogen energy," Renewable Energy, Elsevier, vol. 267(C).
  • Handle: RePEc:eee:renene:v:267:y:2026:i:c:s0960148126005148
    DOI: 10.1016/j.renene.2026.125689
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148126005148
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.renene.2026.125689?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:eee:renene:v:267:y:2026:i:c:s0960148126005148. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    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.