Study On The Quantitative Influence And Optimization Of Neighborhood Spatial Form On Building Energy Consumption In Hot And Humid Area

While the global economy continues to grow,the problem of building energy consumption is becoming increasingly serious.For building energy consumption,the spatial form of urban neighborhoods,the type of building function and the air conditioning system are important influencing factors.The spatial form,building function type and air conditioning system of urban neighborhoods have an important influence on building energy consumption.Optimizing the spatial form planning,building function design and air conditioning system configuration of urban neighborhoods can not only reduce building energy consumption in the neighborhoods to a certain extent,but also improve the human thermal comfort.In this thesis,the microclimate simulation software ENVI-met is used to simulate the microclimate environment of neighborhoods with typical spatial form in a hot and humid region,and the building energy simulation software EnergyPlus is used to simulate and analyze the effects of three factors include spatial form,building function type and air conditioning system in neighborhoods.Finally,a neighborhood energy consumption distribution map for the case area of Guangzhou was constructed and the relationship between neighborhood spatial form and building energy consumption was evaluated.Firstly,the applicability and accuracy of microclimate simulation software ENVI-met was verified by outdoor thermal and humid environment measurements in various local climate zones,and the verification variables were mainly temperature and relative humidity.The validation results show ENVI-met has high applicability and accuracy for simulating thermal and humid environments in different local climate zones in hot and humid regions.Secondly,based on the criteria of local climate zone,typical idealized form urban neighborhoods model is established by ENVI-met,and the microclimate environment of typical meteorological day background conditions in summer is simulated and analyzed.The results show that the microclimate environments of different spatial form neighborhoods are highly variable,and open neighborhoods are prone to large high temperatures compared to compact neighborhoods.In addition,the microclimate parameters of typical spatial form neighborhoods are output as background meteorological conditions for energy consumption simulation of different functional types of buildings.Thirdly,the building energy simulation software EnergyPlus was used to simulate the energy consumption of typical functional types of buildings in the meteorological conditions happened in six neighborhoods with typical spatial forms.Building models includes office,school and other public buildings and residential buildings in a total of seven types of buildings.Besides,the difference of building cooling energy consumption between the three air conditioning system types was also studied by software simulation.The results found that the energy consumption of the seven types of buildings in the six spatial forms neighborhood meteorological conditions vary greatly.The total cooling load in open blocks is lower than that in compact blocks.To a certain extent,it shows that the compact neighborhood spatial form is beneficial to reduce the total building cooling load.In addition,the neighborhood spatial form has a greater impact on the total cooling load of residential buildings than that of public buildings,and the total cooling load of residential buildings is more sensitive to changes in neighborhood spatial form.Finally,the results of the above building energy consumption calculations were applied in a district of Guangzhou.The urban case areas were divided into local climatic zones and the surface morphological characteristics parameters of local climate zones as well as the functional type and area of buildings were counted.Based on the above building energy consumption results,the energy consumption assignment of local climate zones is calculated.By using Arcgis and Google Earth,the visualization block energy consumption distribution map and daily energy consumption distribution map of the case area are constructed.The characteristics of energy consumption distribution in Guangzhou district through energy consumption distribution map was analyzed.At last,the optimization strategies for building energy saving is proposed from three perspectives of block space form,building function type and air conditioning system...