Parametric studies and evaluations of indoor thermal environment in wet season using a field survey and PMV–PPD method

Wei, Shengxian, Li, Ming, Lin, Wenxian, and Sun, Yanlin (2010) Parametric studies and evaluations of indoor thermal environment in wet season using a field survey and PMV–PPD method. Energy and Buildings, 42 (6). pp. 799-806.

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Fanger’s PMV–PPD 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 wet season (six-month) 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 1.0 to +1.0 and the indoor thermal environment is basically comfortable. Relationships of the parameters (indoor and outdoor air temperatures, mean radiant temperature, PMV and PPD) and indoor air temperature gradients (vertical and horizontal) were also studied by means of the linear regression and the quadratic polynomial fit techniques. Numerous correlations with high relativities have been developed. Moreover, the vertical and horizontal air temperature gradients range from 0.1 K/m to 0.85 K/m and from 0.208 K/m to 0.063 K/m in wet season. It is convenient to use these results to evaluate and assess 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.

Item ID: 11200
Item Type: Article (Research - C1)
ISSN: 1872-6178
Keywords: parametric study; field survey; indoor thermal environment; PMV–PPD
Funders: 973 program, China, Foundation of Science and Technology of Yunnan Province, China
Date Deposited: 17 Aug 2010 03:34
FoR Codes: 09 ENGINEERING > 0915 Interdisciplinary Engineering > 091505 Heat and Mass Transfer Operations @ 60%
09 ENGINEERING > 0915 Interdisciplinary Engineering > 091504 Fluidisation and Fluid Mechanics @ 40%
SEO Codes: 85 ENERGY > 8505 Renewable Energy > 850506 Solar-Thermal Energy @ 60%
97 EXPANDING KNOWLEDGE > 970109 Expanding Knowledge in Engineering @ 40%
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