A comprehensive investigation of phase change energy storage device based on structural design and multi-objective parameter optimization

IF 6.9 2区工程技术 Q2 ENERGY & FUELS Applied Thermal Engineering Pub Date : 2025-03-31 DOI:10.1016/j.applthermaleng.2025.126374

Lu Liu , Hongxin Yu , Bo Tian , Ningbo wang , Cong Gong , Qiu Tu , Shuangquan Shao

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Abstract

Latent heat thermal energy storage technology has emerged as a critical solution for medium to long-term energy storage in renewable energy applications. This study presents a comprehensive optimization for enhancing the structural configuration of a phase change energy storage device (PCESD) through multi-objective optimization. Four essential performance metrics, e.g., average temperature, melting fraction, temperature uniformity, and energy storage efficiency are identified as key performance indicators. A comprehensive numerical simulation is performed to investigate the impact of various macro-encapsulation methods on thermal performance characteristics. Further, the effects of design variables, like inlet flow rate, inlet temperature, the thermal conductivity of phase change material, and latent heat of phase change material on the 4 key performance indicators are quantitatively analyzed through parametric investigation. The multi-objective optimization framework integrates the response surface, NSGA-II, and entropy weight-TOPSIS methods for the PCESD system. The optimal performance of the PCESD system is achieved with exceptional temperature uniformity of 1.14 K and superior energy storage efficiency of 1599.95. The systematic optimization methodology provides a novel perspective for the PCESD design, which is expected to promote the further application of latent heat thermal energy storage technology in renewable energy conservation.

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基于结构设计和多目标参数优化的相变储能装置综合研究

潜热热能存储技术已成为可再生能源应用领域中长期能源存储的重要解决方案。本研究提出了一种通过多目标优化来增强相变储能装置（PCESD）结构配置的综合优化方法。平均温度、熔化率、温度均匀性和储能效率等四个基本性能指标被确定为关键性能指标。通过全面的数值模拟，研究了各种宏观封装方法对热性能特征的影响。此外，还通过参数化研究定量分析了入口流速、入口温度、相变材料热导率和相变材料潜热等设计变量对 4 项关键性能指标的影响。多目标优化框架集成了响应面法、NSGA-II 法和熵权-TOPSIS 法。PCESD 系统实现了最佳性能，温度均匀性达到 1.14 K，储能效率高达 1599.95。系统优化方法为 PCESD 的设计提供了一个新的视角，有望促进潜热蓄能技术在可再生能源领域的进一步应用。

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来源期刊

Applied Thermal Engineering 工程技术-工程：机械

CiteScore

11.30

自引率

15.60%

发文量

1474

审稿时长

57 days

期刊介绍： Applied Thermal Engineering disseminates novel research related to the design, development and demonstration of components, devices, equipment, technologies and systems involving thermal processes for the production, storage, utilization and conservation of energy, with a focus on engineering application. The journal publishes high-quality and high-impact Original Research Articles, Review Articles, Short Communications and Letters to the Editor on cutting-edge innovations in research, and recent advances or issues of interest to the thermal engineering community.