Study On Thermal Performance Of Residential Buildings Under Different Climates In Hot Summer And Cold Winter Zone Of China

In recent years,the energy consumption of residential buildings in the Hot Summer and Cold Winter?HSCW?zone has increased significantly.There are three main reasons for this result:One reason is due to the growth of population,the deepening of urbanization and the increasing demand for the indoor thermal environment;Secondly,HSCW zone is cold in winter and hot in summer,but in the past,heating and air conditioning were generally not needed.Thus,the thermal design of building envelopes was not paid enough attention and poor for the building energy conservation.The third is that there is a big difference in climate of this region.However,the existing regulation of thermal limits of residential buildings is single in the entire HSCW area.And the climate and the thermal performance of the envelope are not compatible.To curb the growth of energy consumption of residential buildings in HSCW zone,it is necessary to weaken the impact of climate on the heating and cooling loads of building.The most effective method is to determine the thermal performance of residential buildings based on the climate characteristics.This is crucial for China to achieve energy efficiency in the thermal performance of building passively.In this study,the thermal climate zoning of residential buildings and the thermal design with climate adaptability in HSCW zone of China are determined.Firstly,combining heat transfer theory and simulation analysis,the heating and cooling loads of reference residential buildings in HSCW zone are analyzed.And 6 climatic indexes and weights are extracted and calculated.Each weight quantify the influence degree of each index on the energy demand of reference residential buildings throughout a year.Although the analysis is based on the reference buildings in HSCW zone merely,the weights can also be applied to other regions directly to some extent.Then,7hierarchical clustering algorithms are used to classify 64 cities in HSCW zone.The concept of"likelihood probability"is used to quantify the consistent degree between each solution with other solutions.And the solution with the"maximum likelihood probability"is considered as the expectation.It is because that the solution minimize the number of controversial points generated by comparing with other solutions.Considering the climate division results of winter and summer,the HSCW zone is divided into Cold Transition?CT?zone,Hot Summer and Cold Winter Core?HSCWC?zone and Hot Summer and Warm Winter Transition?HSWWT?zone.The result shows that the climate distribution is highly correlated with the topographic distribution of the region.Finally,this paper establishes a seven-storey residential building model,designs the optimizes numerical experiments,and uses Python and EnergyPlus to take a large number of simulated calculations.Through statistical analysis of simulation results,the differential thermal performance design of each climate sub-region is determined.That is,the limits of K_wall in the CT,HSCWC,and HSWWT sub-zones are0.7,0.8,and 0.9 W/?m²·K?respectively,the K_roof are 0.5,0.6,and 0.7?W/?m²·K??respectively,the K_win are 2.0,2.4,2.8?W/?m²·K??and the SHGC is 0.3.Further analysis shows that the differential thermal design has great energy saving potential,which has guiding significance for the compilation of relevant codes in this region.