Indoor thermal environment evaluations and parametric analyses in naturally ventilated buildings in dry season using a field survey and PMVe-PPDe model
Wei, Shengxian, Sun, Yanlin, Li, Ming, Lin, Wenxian, Zhao, Derong, Shi, Youming, and Yang, Huimin (2011) Indoor thermal environment evaluations and parametric analyses in naturally ventilated buildings in dry season using a field survey and PMVe-PPDe model. Building and Environment, 46 (6). pp. 1275-1283.
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The PMV model predicts thermal sensation well in HVAC buildings while it predicts a warmer thermal sensation than the occupants actually feel in naturally ventilated buildings. For using PMV model to predict thermal sensation well in a naturally ventilated building, the extended PMV model (PMVe) including an expectancy factor (e) and PMV was proposed by Fanger. Besides, calculations of PMV are too complex to be applied in practice. To obtain simple and applicable correlations, taking Qujing of Yunnan province, China, as example, a dry season (6-month) field measurement was conducted in a naturally ventilated residential room. Based on the collected data, PMVe values were calculated by using Newton's iterative method. It is shown that the PMVe values approximately vary from ~1.3 to 0.20 and the indoor thermal environment is somewhat discomfortable on some cloudy or rainy days. Parameters relationships and indoor air temperature gradients (vertical and horizontal) were also studied by using linear regression technique and quadratic polynomial fit technique. Numerous correlations with high relativities have been developed. It is convenient to use these results to evaluate the indoor thermal environment in naturally ventilated buildings under similar climatic conditions.
|Item Type:||Article (Refereed Research - C1)|
|Keywords:||parametric analysis; field survey; indoor thermal environment; PMV-PPD; PMVe-PPDe|
|FoR Codes:||09 ENGINEERING > 0915 Interdisciplinary Engineering > 091504 Fluidisation and Fluid Mechanics @ 50%|
09 ENGINEERING > 0915 Interdisciplinary Engineering > 091505 Heat and Mass Transfer Operations @ 50%
|SEO Codes:||96 ENVIRONMENT > 9601 Air Quality > 960106 Urban and Industrial Air Quality @ 50%|
97 EXPANDING KNOWLEDGE > 970109 Expanding Knowledge in Engineering @ 50%
|Funders:||National Key Basic Research Scheme of China, Foundation of Science and Technology of Yunnan Province, China|
|Deposited On:||05 Apr 2012 15:36|
|Last Modified:||18 Oct 2013 01:29|
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