摘要
建筑柔性用能对削减空调负荷的峰谷差具有重要意义。相变墙体采用预冷策略可以有效降低高峰负荷,然而预冷可能会增加总能耗。因此,有必要对其柔性用能和能耗特征进行综合研究分析。以长沙的办公建筑为例,建立相变墙体的传热模型并采用实验数据进行对比验证,在此基础上,研究不同预冷策略下相变墙体夏季的柔性潜力,并对影响柔性的相变参数进行敏感性分析。结果表明:当预冷温度为23℃,预冷时长为4 h时,相变墙体能在总能耗降低2.6%的情况下使高峰期的总冷负荷降低85.4%。另外,相变材料的相变温度对柔性的影响最大,其次是位置、密度、相变潜热、厚度、相变范围,而导热系数和比热容对柔性的影响很小。该研究可为相变墙体的应用提供参考。
Building energy flexibility is significant in reducing the peak valley difference of air conditioning load.The phase change wall and precooling can effectively reduce the peak load by using precooling strategy but precooling may increase the total energy consumption.Therefore,it is necessary to comprehensively study and analyze its energy flexibility and energy consumption characteristics.In this study,taking the office building in Changsha in hot summer and cold winter as an example,the heat transfer model of the phase change wall is established and verified by comparison using the experimental data.On this basis,the flexibility potential of the phase change wall in summer under different precooling strategies is studied,and the sensitivity analysis of phase change parameters affecting flexibility is conducted.The results show that when the precooling temperature is 23℃,and the precooling duration is 4 h,the phase change wall can reduce the total cooling load during the peak period by 85.4%,while the total energy consumption is reduced by 2.6%.In addition,the phase change temperature of the phase change material has the most significant influence on flexibility,followed by position,density,phase change latent heat,thickness,phase change range.The thermal conductivity and specific capacity have little effect on flexibility.This study can provide a reference for the application of the phase change wall.
作者
张泠
董媛媛
刘忠兵
ZHANG Ling;DONG Yuanyuan;LIU Zhongbing(Faculty of Civil Engineering,Hunan University,Changsha 410082,China)
出处
《华南师范大学学报(自然科学版)》
CAS
北大核心
2023年第2期34-40,共7页
Journal of South China Normal University(Natural Science Edition)
基金
国家自然科学基金项目(52078198)。
关键词
相变墙体
柔性用能
能耗
预冷
优化
敏感性分析
phase change wall
energy flexibility
energy consumption
precooling
optimization
sensitivity analysis