IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v315y2025ics0360544224040593.html
   My bibliography  Save this article

Optimized field synergy analysis strategy for heat transfer mechanism in latent heat storage: Based on the front-tracking algorithm and the segmentation thinking

Author

Listed:
  • Li, Beiyang
  • Xu, Huaqian
  • Lu, Yongwen
  • Zuo, Hongyang
  • Zeng, Kuo
  • Chi, Bowen
  • Chen, Xin
  • Yang, Haiping
  • Chen, Hanping

Abstract

The transient solid-liquid front movement complicates the natural convection in latent heat storage (LHS) and the heat transfer mechanism remains challenging. To address this issue, this study proposes an optimized field synergy strategy using a front-tracking algorithm, which analyzes the heat transfer in segmented regions rather than the entire domain. Four LHS units with varying shell shapes are designed and experimentally validated. The melting performance shows that the upward case improves the melting performance and heat transfer intensity by 17.44 % and 21.56 % compared to the benchmark case. Further analysis using the field synergy principle (FSP) explores the synergy and matching degree. The results indicate that heat transfer is driven by the combined effects of different regions, with heat transfer near the tube wall and the solid-liquid front dominating. The FSP analysis indicates that the heat transfer mechanism is affected by the comprehensive effect of the synergy and matching degree. Specifically, the matching degree is more crucial when the shell shape changes. The upward case improves the matching degree by 29.95 % and 33.82 % near the tube wall and solid-liquid front, respectively. This study provides a novel analysis and optimization strategy for LHS systems with natural convection.

Suggested Citation

  • Li, Beiyang & Xu, Huaqian & Lu, Yongwen & Zuo, Hongyang & Zeng, Kuo & Chi, Bowen & Chen, Xin & Yang, Haiping & Chen, Hanping, 2025. "Optimized field synergy analysis strategy for heat transfer mechanism in latent heat storage: Based on the front-tracking algorithm and the segmentation thinking," Energy, Elsevier, vol. 315(C).
  • Handle: RePEc:eee:energy:v:315:y:2025:i:c:s0360544224040593
    DOI: 10.1016/j.energy.2024.134281
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544224040593
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2024.134281?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:energy:v:315:y:2025:i:c:s0360544224040593. 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.