Annual Calculation Research Of Residential Area Temperature Based On The Improved Green CTTC Model

The rapid development of the urbanization process in China's hot and humid regions has made the problem of urban heat island in the region very serious.The harsh urban outdoor thermal environment will have a serious impact on the comfort and physical and mental health of residents'outdoor activities.Urban residentials are the middle layer between cities and buildings.Creating a good residential environment is of great significance in reducing urban heat islands and smog pollution.This research is based on the outdoor thermal environment of urban residential areas in hot and humid areas to solve the urban microclimate problem,achieve energy saving and improve the living environment.Based on the improved green CTTC model and the long-term outdoor microclimate measured meteorological data as the input parameters of the model calculation,the calculated boundary conditions in different weathers can be obtained.It is more accurate and quantitatively evaluate the residential optimization design than using the typical meteorological day method.At the same time,combining the characteristics of rainfall weather with the improved green CTTC model,proposed a modified model,and improved the computational power of the improved green CTTC model in terms of calculation range and time.Firstly,based on the theory,the physical factors and design factors affecting the temperature of the residential are analyzed.The analysis results show that the cold and warm front transit is an important seasonal factor causing the large temperature rise and fall.In the rainy days,the rain passes through the heat with the surface of the residential.The sensible heat change caused by the exchange and the latent heat enhancement caused by the evapotranspiration of the rain itself are the main weather factors that cause the temperature change of the residential.Based on two reasons,this paper proposes a correction calculation method for background temperature,and combines the Penman evaporation model to correct the solar radiation heating term of the original model.Then the residential outdoor weather data of a whole year was measured in the living area of Xixiangtang District of Nanning City.According to the data measured from the whole year,the correlation between different design influencing factors and mean heat island intensity in different seasons and weather conditions,and the correlation between evapotranspiration and main physical factors in the residential area were compared.The comparison results show that the greening rate and building density have certain correlation with the mean heat island intensity of the residential,and their influence on the thermal environment of the residential is related to seasonal and weather conditions,and the relative humidity is highest physical factor related to the evapotranspiration of the residential.The calculation accuracy of the original model under different seasons and different meteorological conditions is verified by comparison.The results show that the weather factor is the main factor affecting the calculation accuracy in short time(24h),and the seasonal factor is the long-term(168h)calculation.The main factors of accuracy were verified by long-term(168h)correction model calculations.The original model and the modified model were analyzed and compared.The original model consistency index d=0.959,RMSE=2.020?,the modified model consistency index d=0.987,RMSE=1.127?.The corrected model has an accuracy of 1.2 ? higher than the original model.Finally,based on the above conclusions,the performance evaluation module of the Green Residential District Parameterized Optimization Design Platform was improved,the calculation sub-module for the air temperature in the rainfall day residential area and the data calculation length of the parameterized platform were expanded.It enables it to calculate the temperature of the residential area on a full-year scale.The air temperature of the long-term(6652h)of a residential area in Xixiangtang,Nanning City was calculated by using the improved platform.The calculated results were basically consistent with the overall trend of the measured temperature.The consistency index was d=0.992,RMSE=1.127?.Its calculation accuracy and reliability meet the needs of engineering design.