PMV控制模式和热适应控制模式的试验研究
Experimental study on PMV-based and thermal adaptation-based controls
摘要：
以广州某办公楼两相邻房间为对象，在夏季典型日开展试验，综合比较常规、PMV和热适应3种室内环境控制模式在环境物理参数、人员主观反应和建筑能耗等方面的性能。结果显示：与常规模式相比，PMV模式通过适当提高室内温湿度，在保证人员环境满意度的前提下实现节能，在夏季晴天能降低21%的日均空调能耗；热适应模式同时提高室内温湿度和风速，在保证人员环境满意度的前提下实现节能，在夏季晴天和阴雨天分别能降低31%和40%的日均总能耗。
Abstract：
Conducts the experiments on two adjacent rooms in an office building in Guangzhou in typical summer days, and compares the performances of the conventional, PMV-based and thermal adaptation-based control modes in terms of environmental physical parameters, occupants satisfactions and building energy consumptions. The results show that compared with the conventional mode, the PMV-based control mode slightly increases indoor temperature and humidity, maintains occupants satisfactions with indoor environment, and can save 21% of average daily cooling energy in the summer sunny days. The thermal adaptation-based control mode increases indoor temperature, humidity and air speed, maintains occupants satisfactions with indoor environment, and can save total average daily energy by 31% and 40% in the summer sunny day and rainy day, respectively.
Keywords:PMV-based control, thermal adaptation-based control, building intelligent control, building energy conservation, hot-humid area, environmental physical parameter, occupants satisfaction