热力发电2025，Vol.54Issue(10)：21-30,10.DOI:10.19666/j.rlfd.202412267
单罐熔盐储能系统热行为演化及温度回归预测研究
Thermal behavior evolution of single tank molten salt energy storage system and the temperature regression prediction
摘要
Abstract
Molten salt energy storage technology is widely used in solar thermal power generation due to its high thermal capacity and good thermal stability.To optimize the influence of key operating parameters on energy storage efficiency,numerical simulation methods are used to analyze the mechanism of input velocity,initial temperature,temperature difference and other parameters on the formation of thermocline and heat storage efficiency at different horizontal positions.The results show that,increasing the temperature difference and the input speed can significantly promote the development of the thermocline,and increase the heat storage efficiency by more than 10%.The parameter optimization algorithm based on response surface methodology identifies an optimized parameter combination,which improves the heat storage efficiency by a maximum of 16.3 percentage points compared to the previous simulations.At the same time,to quickly and accurately predict the operating temperature of the system,three machine learning models are compared,and it finds out that the random forest model has the best prediction with an accuracy rate of 98.78%.The research results provide theoretical basis and application reference for the optimization design of molten salt energy storage systems.关键词
熔盐储能/储热效率/参数优化/温度预测Key words
molten salt energy storage/heat storage efficiency/parameter optimization/temperature prediction引用本文复制引用
孙勇,付小标,李宝聚,胡红云,刘雨豪,戴其祺,方家琨..单罐熔盐储能系统热行为演化及温度回归预测研究[J].热力发电,2025,54(10):21-30,10.基金项目
国家重点研发计划项目(2022YFB2404001)National Key Research and Development Program(2022YFB2404001) （2022YFB2404001）
