近期，我院研究生宋子龙（一作），教师王蛟（通讯）等的研究成果“Dual-objective topology optimization design for latent heat storage systems using composite phase change materials”在《Energy》（IF=9.0）上发表。
论文简介如下：
潜热储能作为一种高效的储能技术，在低碳、清洁的能源供应框架下具有巨大的潜力。本文介绍了一种基于复合相变材料的二维径向和轴向拓扑优化结构的设计方法，并将其应用于卧式潜热储能装置。首先，确定复合相变材料中纳米颗粒的类型及其体积分数。随后，以最小化平均温度和热导率耗散为优化目标，设计了二维径向和轴向拓扑结构。利用拓扑优化结构构建了，考虑自然对流换热的三维相变传热模型。数值研究结果表明，拓扑结构中的分形翅片有利于中心冷热流体与复合相变材料之间的快速热交换。以平均温度最小化为目标的径向拓扑结构明显优于传统的环形翅片，复合相变材料的熔化和凝固时间分别减少了48.24 %和52.17 %，单次热循环率提高了102.52 %。最后，分形维数分析证实了拓扑结构的仿生特征，揭示了与叶脉和树枝中发现的自然分形最优解的高度相似性。这种创新的组合优化设计为高效潜热储存装置的优化提供了有价值的指导。
Latent heat storage, as an efficient energy storage technology, holds great potential in the context of a low-carbon and clean energy supply framework. However, the auxiliary heat transfer enhancement techniques for latent heat storage materials still require further investigation. This study introduces a novel design approach for two-dimensional radial and axial topological optimization structures based on composite phase change materials, applied to horizontal latent heat storage devices. Initially, the types of nanoparticles and their volume fractions in the composite phase change material are determined. Subsequently, two-dimensional radial and axial topological structures are designed with optimization goals aimed at minimizing average temperature and thermal conductivity dissipation. These structures are incorporated into a three-dimensional phase change heat transfer model, which takes into account the effects of natural convection heat transfer. The results show that the fractal fins in the topological structures facilitate rapid heat exchange between the cold and hot fluids at the center and the composite phase change material. The analysis indicates that the radial topology optimized for minimizing average temperature significantly outperforms traditional annular fins, reducing the melting and solidification times of the composite phase change material by 48.24 % and 52.17 %, respectively, and improving the single heat cycle rate by 102.52 %. Finally, fractal dimension analysis confirms the biomimetic characteristics of the topological structures, revealing a high similarity to the natural fractal optimal solutions found in leaf veins and tree branches. This innovative combined optimization design provides valuable guidance for the optimization of efficient latent heat storage devices.
Schematic diagram of the topology optimization design area for the phase change thermal energy storage unit
全文下载：https://doi.org/10.1016/j.energy.2025.135069
