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A PMV-PPD model based study of thermal comfort in Low-Income Group house in Chhattisgarh

机译:基于PMV-PPD模型的Chhattisgarh低收入群房的热舒适模型研究

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People tend to maintain symmetry between comfort and economy while choosing essential commodities needed in their life. Families buy a house which may offer comfort condition, but at minimum in term expenses of energy throughout a life. Thus, it is most important to erect a house to provide comfortable condition and moderate the lifetime expenditure by saving energy consumption. Sensation of thermal comfort varies from people to people, even in an identical environment. To minimize the consumption of energy of building, cost of consumed energy and to provide a comfortable house, thermal comfort analysis in indoor environments have attracted many researchers. Fanger’s Predicted Mean Vote (PMV) - Predicted Percentage of Dissatisfied (PPD) model is widely accepted theory for assessment of building indoor thermal conditions. In the present work, thermal comfort of an LIG house in Chhattisgarh region of India has been analyzed based on PMV-PPD method for months representing three different seasons in a year i.e. May, September and December representing summer, post monsoon and winter respectively. Cooling, heating and actual energy load of LIG house has been calculated and reported for the above mentioned months. From analysis it is concluded that inhabitants are comfortable only during the winter.
机译:人们倾向于在舒适和经济之间保持对称性,同时选择他们生命中所需的必需品。家庭购买一个可能提供舒适状况的房子,但最低限度在整个生命中的能源费用。因此,勃起房屋提供舒适的条件并通过节省能耗来缓和寿命支出是最重要的。即使在相同的环境中,热情舒适性的感觉也因人们而异。为了尽量减少建筑能源的消耗,消费能源的成本和提供舒适的房屋,室内环境中的热舒适性分析吸引了许多研究人员。 Fanger的预测平均投票(PMV) - 预测不满(PPD)模型的百分比被广泛接受了建筑室内热条件的评估理论。在目前的工作中,基于PMV-PPD方法在一年内代表三个不同季节的PMV-PPD方法分析了印度Chhattisgarhh地区的热情舒适度,即5月,9月和12月分别代表夏季,季后赛季后赛。已经计算了Lig House的冷却,加热和实际能量荷荷,并报告了上述月份。从分析中,得出结论,居民唯一的冬天舒适。

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