IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v360y2024ics0306261924000199.html
   My bibliography  Save this article

Synchronous adjustment framework for the integrated hydrogen network and production system: A concurrent optimization strategy of the system based on multi-model ensemble method

Author

Listed:
  • Chen, Shizhao
  • Shen, Feifei
  • Zhong, Weimin
  • Peng, Xin
  • Du, Wei

Abstract

The hydrogen network plays an important role in maintaining the stable production of the refinery. However, the disconnected hydrogen network and production system has led to a shortfall of hydrogen to meet the product yield and hydrogen demand. Strategies for integrating two systems would need to be carefully investigated. In this work, the integrated hydrogen sources and sinks have been characterized with a synergistic model based on the automatic machine learning method. Besides, a synchronous adjustment framework for the hydrogen network and production system has been achieved based on a multi-objective integrated optimization method. The results show that the balance of hydrogen demand and product yield could be improved. Hydrogen purchased has been 1.8% lower than the separated model. Under the same hydrogen budget, the profit could be increased by 3.5%.

Suggested Citation

  • Chen, Shizhao & Shen, Feifei & Zhong, Weimin & Peng, Xin & Du, Wei, 2024. "Synchronous adjustment framework for the integrated hydrogen network and production system: A concurrent optimization strategy of the system based on multi-model ensemble method," Applied Energy, Elsevier, vol. 360(C).
    • Handle: RePEc:eee:appene:v:360:y:2024:i:c:s0306261924000199
    DOI: 10.1016/j.apenergy.2024.122636
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261924000199
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2024.122636?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 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:eee:appene:v:360:y:2024:i:c:s0306261924000199. 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.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    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.