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

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

Energy, 2025, vol. 315, issue C

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.

Keywords: Latent heat storage; Natural convection; Shell shape; Field synergy principle; Front-tracking algorithm; Segmentation thinking (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544224040593
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:315:y:2025:i:c:s0360544224040593

DOI: 10.1016/j.energy.2024.134281

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().