文献类型：期刊文献

英文题名：Performance optimization and application analysis of novel synergistic eutectic phase change energy storage material

作者：Hu, Biao[1,2]; Li, Jiachen[1]; Xia, Zhaohui[1]; Yang, Jinxin[2]; Wang, Hui[1]; Li, Chunwang[1]

第一作者：Hu, Biao

机构：[1] College of Biochemical Engineering, Beijing Union University, 100023, China; [2] College of Mechanical and Energy Engineering, Beijing University of Technology, Beijing, 100124, China

第一机构：北京联合大学生物化学工程学院

通讯机构：[1]College of Biochemical Engineering, Beijing Union University, 100023, China;[1]College of Biochemical Engineering, Beijing Union University, 100023, China|[1141726]北京联合大学生物化学工程学院;[11417]北京联合大学;

年份：2026

卷号：360

外文期刊名：Energy

收录：EI(收录号：20262520945207);Scopus(收录号：2-s2.0-105042094098)

语种：英文

外文关键词：Aluminum compounds - Digital storage - Encapsulation - Eutectics - Flow of water - Heat storage - Phase change materials - Phase separation - Potash - Sodium compounds - Storage (materials) - Sulfur compounds - Thermal conductivity

摘要：A novel synergistic eutectic phase change material (PCM) was successfully synthesized, in which sodium acetate trihydrate (SAT) effectively reduces the phase change point of aluminum potassium sulfate dodecahydrate (APSD), while APSD simultaneously suppresses phase separation in SAT. Through systematic performance enhancement, the final composite PCM exhibits remarkable properties: supercooling below 1?°C, thermal energy storage (TES) density of 214.77?kJ/kg, 67% improvement in thermal conductivity, and excellent cycling stability. The volume expansion during solid-liquid phase transition was measured as 9.02%. Brass H68 was identified as the optimal encapsulation material due to its superior compatibility. Numerical simulations demonstrate that at a low cold water flow rate of 1?L/min, the PCM system sustained a 40?°C outlet temperature for 22.75?min—a 34.85% improvement over the pure water system, providing valuable insights for its industrial implementation. ? 2026 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.