Abstract
Fanger's Predicted Mean Vote (PMV) is the most famous thermal sensation indices but it is too complex to be applied in practice. To obtain simple and applicable correlations, taking Qujing of Yunnan province, China, as example, a oneyear field measurement was conducted in a naturally ventilated residential room. Based on collected data, PMV indices were calculated by using Newton's iterative method. It is shown that the PMV values approximately vary from -2.1 in winter to +1.1 in spring and the indoor thermal environment in winter is basically discomfortable. The correlations between the indoor air temperature, mean radiant temperature and PMV were studied by using the linear regression technique. Numerous correlations with high relativities were developed. It is convenient to use them to analyze and predict the indoor thermal environment under similar climatic conditions. The results of this work enrich and develop the basic theory of the indoor thermal environment design and control.
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