Study On The Climate Based Evaluation Method For Residential Buildings Long-term Indoor Thermal Environment

The energy consumption index which aimed at building with HAVC system in a24-hour continuous operation was usually used to assess the building performance inorder to meet the energy conservation target in China. Nevertheless, the majority ofheating and air conditioning facilities were operated intermittently in residentialbuildings. Some natural ventilation residential buildings operated even without HVACsystem. Consequently, it is inappropriate to assess the performance of on-offoperating or non-air-conditioned residential building by energy consumption indexes.Finding a new index from the point of building thermal environment is veryimportant.The previous study shows that Thermal Discomfort Rate (TDCR) has beenproposed to assess the building performance and the impact of envelope on thelong-term thermal environment. While the effect of outdoor climate was not took intoaccount in this index, so the indoor thermal environment of different building indifferent areas can-not be predicted.A new index named Relativity Thermal Discomfort Index (RI) based on TDCRhas been proposed in this paper. The formula of outdoor operative temperatureconbined with outdoor meteorological parameters has been deduced through theoritcalanalysis. Considering with the characteristic of the residential buildings, the range ofdiscomfort temperature has been redistricted by the new improved adaptive thermalcomfort model. The weighting function of thermal discomfort has been proposed. Andon that basis, RI has been proposed. The building performance and indoor thermalenvironment can be assessed by RI in different area.A two-storey BASECASE model has been established by DesignBuilder softwareto simulate RI in winter and summer. In addition, the effects of thermal insulation onexterior wall, ratio of window to wall, window glass material, shading and roof formon RI have been analyzed with using the BASECASE model. Afterwards, the thermalenvironment predicted models of15cities were established by BP neural network,based on using the orthogonal experimental design method to get training data.The results revealed that the predicted model could evaluate the thermalenvironment of residential buildings directly and effectively. The predicted modelprovided a method for practical building design and thermal environment evaluation,which has great significance for improving residential building indoor thermal environment and energy conservation.