The correlation between urban spatial form and microclimate has been widely used in the field of urban climate,but the influence of the resulting effect on building carbon emissions needs to be further explored.In this paper,we take the high-rise residential area of Shenyang City in the severe cold region as the research object,establish a coupling model of building carbon emissions under the influence of various microclimate factors,use Grasshopper to build a parametric platform,integrate the geometric control module of residential morphology,microclimate analysis module and carbon emission simulation module,and with the support of genetic algorithm,the spatial layout of the settlement is optimized with the goal of optimizing the carbon emission effect.The results show that the influence of microclimate factors on the carbon emissions of each layer of a single building is as follows:wind speed>air temperature>solar radiation.In the case of a certain plot ratio,the influence degree of morphological parameters on the total carbon emissions of residential areas is as follows:building orientation>building spacing coefficient>enclosure degree.According to the optimization experiment of the 2023 winter solstice daily meteorological data,the optimal scheme obtained is compared with the original scheme.The CO2 emissions of the residential area are reduced by 6.53 kg on that day.The results of this study can provide a quantitative control design method for the planning and construction of low-carbon settlements in severe cold areas.
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