IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v335y2025ics036054422503912x.html
   My bibliography  Save this article

Medium and long-term energy demand forecasting in the Yangtze River Delta based on the LEAP-SJZA model under the "dual carbon" goals

Author

Listed:
  • Fang, Xin
  • Yang, Li

Abstract

As a key region of China's energy transition, the Yangtze River Delta (YRD) requires medium and long-term energy demand forecasting to achieve the "dual-carbon" goal. Based on current economic and social development, as well as energy consumption, the LEAP-SJZA model is constructed to create a baseline, low-carbon, integrated, and comprehensive scenarios, forecasting total energy demand, end-use industries, and end-use energy categories from 2023 to 2060. The results show that (1) Total energy demand in YRD exhibits an "inverted U-shape," with the baseline, collaborative industrial innovation, and clean energy substitution scenarios peaking in 2039 and the low-carbon technology sharing and comprehensive scenarios peaking in 2029. (2) The contribution rate of energy conservation and emission reduction is comprehensive scenario > low-carbon technology sharing scenario > collaborative industrial innovation scenario > clean energy substitution scenario > baseline scenario. (3) Industry is the largest energy-demanding sector, except transportation, where energy demand is rising in the short term. (4) The energy system is shifting towards greater electrification, with the share of electricity in end-use energy demand exceeding 42 % in all scenarios in 2060. Finally, it proposes medium- and long-term energy development countermeasures to promote high-quality, integrated regional development.

Suggested Citation

  • Fang, Xin & Yang, Li, 2025. "Medium and long-term energy demand forecasting in the Yangtze River Delta based on the LEAP-SJZA model under the "dual carbon" goals," Energy, Elsevier, vol. 335(C).
  • Handle: RePEc:eee:energy:v:335:y:2025:i:c:s036054422503912x
    DOI: 10.1016/j.energy.2025.138270
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S036054422503912X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2025.138270?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:energy:v:335:y:2025:i:c:s036054422503912x. 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/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.