基于填充床相变蓄热器的卡诺电池系统特性研究

黄正杰, 罗向龙, 梁颖宗, 陈健勇, 杨智, 何嘉诚, 陈颖

工程热物理学报 ›› 2025, Vol. 46 ›› Issue (4) : 1034-1040.

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PDF(1478 KB)
工程热物理学报 ›› 2025, Vol. 46 ›› Issue (4) : 1034-1040.

基于填充床相变蓄热器的卡诺电池系统特性研究

  • 黄正杰, 罗向龙, 梁颖宗, 陈健勇, 杨智, 何嘉诚, 陈颖
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Study on the Characteristics of a Carnot Battery Based on a Packed Bed Latent Heat Storage

  • HUANG Zhengjie, LUO Xianglong, LIANG Yingzong, CHEN Jianyong, YANG Zhi, HE Jiacheng, CHEN Ying
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摘要

卡诺电池是一种成本低、不受地理条件限制的新兴储能技术。采用相变材料蓄热的卡诺电池储能密度高,应用前景广阔。本文构建了基于填充床相变蓄热器的卡诺电池系统并建立其动态模型,分析了换热流体流量与有机工质流量对系统性能的影响,建立了1000 kW 设计功率下换热流体流量和有机工质流量的函数关系式。在此基础上以往返效率和储能密度为优化目标,采用NSGA-II 算法进行多目标优化,基于LINMAP 方法得到权衡后的往返效率和储能密度分别为62.74% 和12.96 kWh/m3

Abstract

Carnot battery is an emerging energy storage technology characterized by low cost and independence from geographical constraints. The use of latent heat thermal energy storage in Carnot battery results in high energy density, offering broad application prospects. This paper constructs a Carnot battery system based on a packed bed latent heat storage and establishes its dynamic model. The analysis includes the impact of heat transfer fluid flow rate and organic working fluid mass flow rate on system performance. A functional relationship for the mass flow rates of the heat transfer fluid and organic working fluid has been established at a design power of 1000 kW. Subsequently, using the NSGA-II algorithm for multi-objective optimization with roundtrip efficiency and energy density as optimization objectives. After balancing using the LINMAP method, the roundtrip efficiency and energy density obtained were 62.74% and 12.96 kWh/m3.

关键词

卡诺电池 / 相变材料 / 填充床式蓄热器 / 多目标优化。

Key words

carnot battery / phase change materials / packed bed thermal energy storage / multiobjective optimization

引用本文

导出引用
黄正杰, 罗向龙, 梁颖宗, 陈健勇, 杨智, 何嘉诚, 陈颖. 基于填充床相变蓄热器的卡诺电池系统特性研究[J]. 工程热物理学报, 2025, 46(4): 1034-1040
HUANG Zhengjie, LUO Xianglong, LIANG Yingzong, CHEN Jianyong, YANG Zhi, HE Jiacheng, CHEN Ying. Study on the Characteristics of a Carnot Battery Based on a Packed Bed Latent Heat Storage[J]. Journal of Engineering Thermophysics, 2025, 46(4): 1034-1040
中图分类号: TK123   

基金

国家自然科学基金项目(No.52376003)
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