Application of bionic topology to latent heat storage devices

被引:0
|
作者
Song, Zilong [1 ]
Shao, Zhenyu [1 ]
Wang, Jiao [1 ]
Fan, Xiaojun [1 ]
Wang, Li [2 ]
机构
[1] Jiangsu Univ Sci & Technol, Sch Energy & Power, Zhenjiang 212100, Peoples R China
[2] Shanghai Marine Diesel Engine Res Inst, Shanghai 201108, Peoples R China
基金
中国国家自然科学基金;
关键词
Thermal energy storage; Heat transfer enhancement; Topology optimization; Bionics design; Field synergy; THERMAL-ENERGY STORAGE; MULTIFIELD SYNERGY PRINCIPLE; HYBRID NANO-PARTICLES; TRIPLEX-TUBE; TRANSFER ENHANCEMENT; FINS; PCM; SOLIDIFICATION; OPTIMIZATION; PERFORMANCE;
D O I
10.1016/j.est.2024.113445
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Latent heat storage is employed to address the intermittent supply of renewable energy, and enhancing heat transfer in phase change materials (PCMs) is pivotal for achieving effective heat storage. Currently, the predominant method for improving heat transfer is through the integration of high thermal conductivity fins into heat storage devices. This study introduces an innovative design of a three-tube phase change heat storage device created through bionic topology optimization. The impact of parameters such as penalty factors and filtering radius on the topology structure is analyzed, and the optimal range of fin volume fraction is determined based on energy storage density and energy storage time. Considering the influence of natural convection on heat transfer properties, four distinct heat storage models, including topology-optimized fins, are compared. The heat transfer and flow properties during the processes of melting and solidification, as well as their field synergy, are investigated. The study reveals that the optimized fins exhibit more bionic fractal structures and a larger, more uniform heat transfer contact area. Compared to traditionally optimized fin structures, this research reduces the heat storage time of the three-tube heat storage device by 21.96 % and the heat release time by 38.13 % without compromising the maximum heat storage capacity. The topology-optimized fins demonstrate a fractal dimension similar to natural fractal structures such as branches, leaf veins, antlers, and snowflakes. This study presents a novel bionic structural design approach for high-performance latent heat storage systems.
引用
收藏
页数:20
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