IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v381y2025ics0306261924024723.html
   My bibliography  Save this article

Proactive energy storage operation strategy and optimization of a solar polystorage and polygeneration system based on day-ahead load forecasting

Author

Listed:
  • Zheng, Nan
  • Wang, Qiushi
  • Ding, Xingqi
  • Wang, Xiaomeng
  • Zhang, Hanfei
  • Duan, Liqiang
  • Desideri, Umberto

Abstract

To improve the battery utilization ratio in winter and promote the system's techno-economic performance, the present study proposes a novel proactive energy storage operation strategy based on day-ahead load forecasting for a solar polystorage and polygeneration system coupled with thermal energy storage and vanadium redox flow battery. The differences in operation procedure and techno-economic performance of the polygeneration system under the proactive energy storage strategy and the traditional strategy are comparatively investigated. Furthermore, the energy outputs and operation states of main equipment in cooling and heating modes under these two strategies are examined. Finally, a multi-objective optimization based on the proactive energy storage strategy for the polygeneration system is conducted to tradeoff the exergy efficiency and unit energy cost. The results illustrate that: the battery utilization ratio under the proactive energy storage strategy is up to 14.65 % points higher than that under the traditional strategy, with a maximum saving of about 17.48 % of the annual grid electricity cost. The maximum system exergy efficiency under the proactive energy storage strategy achieves 30.41 %, which is 5.39 % greater than that of the traditional strategy. Under the same capital expenditure, the proactive energy storage strategy for the polygeneration system presents excellent economic advantages, and the net present value, simple payback period, internal return ratio, and levelized cost of energy are all superior to those of the traditional strategy by 3.07 %, 0.12 years, 1.79 %, and 2.29 %, respectively.

Suggested Citation

  • Zheng, Nan & Wang, Qiushi & Ding, Xingqi & Wang, Xiaomeng & Zhang, Hanfei & Duan, Liqiang & Desideri, Umberto, 2025. "Proactive energy storage operation strategy and optimization of a solar polystorage and polygeneration system based on day-ahead load forecasting," Applied Energy, Elsevier, vol. 381(C).
  • Handle: RePEc:eee:appene:v:381:y:2025:i:c:s0306261924024723
    DOI: 10.1016/j.apenergy.2024.125088
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261924024723
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2024.125088?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:381:y:2025:i:c:s0306261924024723. 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.