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寒地微气候影响下的住区空间形态与碳排放效应协同优化研究

李绥 侯凯怡 周诗文 孙嘉祎

上海城市规划2024,Vol.4Issue(4):31-39,9.
上海城市规划2024,Vol.4Issue(4):31-39,9.DOI:10.11982/j.supr.20240405

寒地微气候影响下的住区空间形态与碳排放效应协同优化研究

Research on Synergistic Optimization of Spatial Morphology and Carbon Emission Effects of Settlements under the Influence of Cold Microclimate

李绥 1侯凯怡 2周诗文 2孙嘉祎2

作者信息

  • 1. 东北大学江河建筑学院
  • 2. 沈阳建筑大学建筑与规划学院
  • 折叠

摘要

Abstract

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.

关键词

微气候/碳排放/住区规划/参数化优化

Key words

microclimate/carbon emissions/settlement planning/parametric optimization

分类

建筑与水利

引用本文复制引用

李绥,侯凯怡,周诗文,孙嘉祎..寒地微气候影响下的住区空间形态与碳排放效应协同优化研究[J].上海城市规划,2024,4(4):31-39,9.

基金项目

国家自然科学基金面上项目"自然通风下高校新发呼吸道传染病传播风险的设计参数影响机制及建筑环境干预对策"(编号52378027)资助. (编号52378027)

上海城市规划

OA北大核心CHSSCDCSTPCD

1673-8985

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