基于TRNSYS的相变蓄热地板建模与多指标关键参数识别

Modeling of phase change thermal storage floor and multi-indicator key parameter identification using TRNSYS

中文关键词: 相变材料  辐射供暖  居住建筑  敏感性分析  Morris方法

英文关键词: phase change material  radiant heating  residential building  sensitivity analysis  morris

中文摘要:

      为识别影响相变蓄热地板系统运行性能的关键因素并提升建模效率，本文基于TRNSYS18构建典型居住建筑模型，集成Type399组件模拟相变蓄热地板的动态供暖过程，并结合jEPlus+EA平台开展系统仿真。采用Morris方法对涵盖材料特性、系统参数、控制策略与环境扰动的11个输入参数进行敏感性分析，并提出“归一化μ*-参数分组敏感性-主成分分析”相结合的综合评价框架，以系统评估各输入参数对供暖能耗、运行费用、热舒适性及相变材料（phase change material，PCM）蓄热性能等五类输出指标的影响。结果表明，PCM的相变温度、导热系数与厚度为主要敏感因子，对系统性能表现均具有显著影响；室温控制上限对热舒适性调节作用突出；而PCM密度、供水流量及部分环境扰动因子的敏感度较低，具有建模简化的潜力。研究成果为复杂蓄热系统的参数优选、建模优化及多目标设计提供了可操作的技术路径与理论支撑。

英文摘要:

      To identify the key factors influencing the operational performance of a phase change material (PCM) thermal storage floor system and to enhance modeling efficiency, this study develops a typical residential building model in TRNSYS 18, integrating the Type 399 component to simulate the dynamic heating process of the PCM floor. System simulations are carried out using the jEPlus+EA platform. The Morris method is employed to perform a sensitivity analysis on eleven input parameters covering material properties, system parameters, control strategies, and environmental disturbances. Furthermore, a comprehensive evaluation framework combining “normalized μ*–parameter group sensitivity–principal component analysis” is proposed to systematically assess the influence of each input parameter on five categories of output indicators, including heating energy consumption, operating cost, thermal comfort, and PCM thermal storage performance. The results indicate that the PCM phase change temperature, thermal conductivity, and thickness are the primary sensitive factors that significantly affect system performance. The upper limit of indoor temperature control plays a dominant role in regulating thermal comfort, while PCM density, water flow rate, and certain environmental disturbance factors exhibit relatively low sensitivity, suggesting potential for model simplification. The findings provide a practical technical approach and theoretical support for parameter optimization, model simplification, and multi-objective design of complex thermal storage systems.