| The aggravation of urban heat island effect leads to the increasing trend of building energy consumption,especially residential energy consumption.On the basis of meeting the requirements of human thermal comfort,how to effectively reduce the energy consumption of residential buildings has become an important issue in the field of building energy conservation.A large number of experiments show that trees can reduce the energy consumption of adjacent buildings,but there is a lack of research on the influence of variable factors such as leaf area density,crown diameter,plant height,wall crown distance and orientation on the energy consumption of rural houses.How to plant trees scientifically and reasonably around the farmhouse plays an important role in fully excavating the ecological benefits of energy saving and carbon reduction of vegetation.Based on this,the investigation method,simulation method and remote sensing information extraction method are used to quantitatively analyze the influence of tree species,quantity and spatial relationship between trees and buildings on air conditioning refrigeration and heating energy consumption of rural houses in hot summer and cold winter areas.Initially,this study conducted a statistical analysis of rural houses,common trees,and their spatial relationships in Hangzhou villages.Representative energy-saving rural house and common trees were selected based on the statistical results,considering both representative and relatively poor cases.These were then used to construct a spatial relationship model between rural house and trees.Subsequently,the study employed the numerical simulation method by using the ENVI-met software to adjust the climate data surrounding the rural house,and the Energy Plus software to calculate the impact of different arbor configurations on the cooling energy consumption of the rural house during summer.Additionally,the study utilized a comprehensive approach incorporating survey method,simulation method,and remote sensing information extraction method to analyze the effect of different tree planting scenarios on the energy consumption of typical rural house in Hangzhou villages.Through the above investigations,this study derived several key conclusions.(1)The energy consumption of rural house is influenced by various ontological characteristics of trees,including leaf area density,crown diameter,and plant height.Notably,the leaf area density of trees remains relatively constant during summer,even when other conditions are similar or identical.Moreover,a larger crown diameter tends to result in a better energy-saving effect.For tree heights within the range of 3-10 m under similar conditions,an increased height generally leads to a more pronounced energy-saving effect.However,trees that exceed the height of the rural house roof,such as Metasequoia,have almost no energy-saving effect.Additionally,different leaf area densities have varying energy-saving effects on house heating consumption,depending on the direction.Specifically,on the east side of the rural house during winter,a higher leaf area density results in a worse energy-saving effect on the house.For example,planting camphor trees on the east side of the rural house during winter with a wall-to-crown distance of 1m results in an energy-saving effect of-15.33%.(2)The energy consumption of the rural house is also influenced by the spatial relationship between different trees and the house,including the wall-to-crown distance and orientation.During summer,the energy-saving effect of the same tree planted on all sides of the house is ranked as follows: west side > east side > north side.Moreover,a smaller wall-to-crown distance results in a higher energy-saving rate.For instance,planting moderately dense eucalyptus trees on the west side of the house with a wall-to-crown distance of 1-3m can achieve an energy-saving rate of 7.67%-12.06%.In contrast,during winter,trees tend to have a better energy-saving effect when planted on the west and north sides of the house.(3)The comprehensive analysis of winter and summer seasonal effects of each tree reveals that camphor trees,loquat trees,eucalyptus trees,and sweet-scented osmanthus trees have high seasonal comprehensive energy-saving potential values,which can effectively reduce the energy consumption of rural houses in Hangzhou villages.These findings offer scientific guidance for the plantation of arbors in the Zhejiang plain area to achieve energy conservation and negative carbon emissions,and also suggest new ideas for improving the energy efficiency of existing residential buildings and reducing building energy consumption in China.The results of this study can serve as a valuable reference for future research on the impact of vegetation on building energy conservation. |