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Application of the CPMV index to evaluating indoor thermal comfort in winter: Case study on an office building in Beijing

机译:CPMV指数在冬季室内热舒适性评估中的应用:以北京某办公楼为例

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Developments in science and technology have led to the increasing use of glass envelopes for office buildings, which has increased the influence of solar radiation on indoor thermal comfort. However, the predicted mean vote-predicted percentage satisfied (PMV-PPD) model neglects the effect of solar radiation, which leads to inaccurate assessment of thermal comfort. The corrected predicted mean vote (CPMV) model, which considers solar radiation, was previously proposed for thermal comfort analysis and applied to office buildings in summer. For further validation of the CPMV, experimental studies were conducted in the winter in Beijing. A total of 477 valid questionnaires were recovered during a field study in January 2019. The results showed that the thermal sensation vote (TSV) values obtained from the respondents fit well with the CPMV values. As the corrected operative temperature decreased, the CPMV tended to be lower than the TSV, and the gap between them tended to increase. The acceptability limits predicted by the CPMV model coincided with the actual thermal sensation when the corrected operative temperature was high. The CPMV model can effectively predict the TSV when the corrected operating temperature is higher than 18 degrees C in winter. These results demonstrate that the model can be used to fully consider the influence of solar radiation in the design of heating and air-conditioning systems for office buildings.
机译:科学技术的发展导致办公大楼越来越多地使用玻璃外壳,这增加了太阳辐射对室内热舒适性的影响。但是,预测的平均投票预测的满意百分比(PMV-PPD)模型忽略了太阳辐射的影响,从而导致对热舒适性的评估不正确。先前曾提出将考虑太阳辐射的校正后的预测平均投票(CPMV)模型用于热舒适性分析,并将其应用于夏季的办公楼。为了进一步验证CPMV,冬季在北京进行了实验研究。 2019年1月的现场研究期间共回收了477份有效问卷。结果表明,从受访者那里获得的热感投票(TSV)值与CPMV值非常吻合。随着校正后的手术温度降低,CPMV趋向于低于TSV,它们之间的间隙趋于增大。当校正的手术温度较高时,CPMV模型预测的可接受极限与实际的热感一致。当冬季校正后的工作温度高于18摄氏度时,CPMV模型可以有效地预测TSV。这些结果表明,该模型可用于充分考虑太阳辐射在办公楼供暖和空调系统设计中的影响。

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