邱一平, 虞志淳. 基于微气候性能化的村落空间形态模拟优化方法研究[J]. 小城镇建设, 2021, 39(9): 85-95. DOI: 10.3969/j.issn.1009-1483.2021.09.011
引用本文: 邱一平, 虞志淳. 基于微气候性能化的村落空间形态模拟优化方法研究[J]. 小城镇建设, 2021, 39(9): 85-95. DOI: 10.3969/j.issn.1009-1483.2021.09.011
QIU Yiping, YU Zhichun. Research on Simulation and Optimization Method of Village Spatial Form Based on Microclimate Performance[J]. Development of Small Cities & Towns, 2021, 39(9): 85-95. DOI: 10.3969/j.issn.1009-1483.2021.09.011
Citation: QIU Yiping, YU Zhichun. Research on Simulation and Optimization Method of Village Spatial Form Based on Microclimate Performance[J]. Development of Small Cities & Towns, 2021, 39(9): 85-95. DOI: 10.3969/j.issn.1009-1483.2021.09.011

基于微气候性能化的村落空间形态模拟优化方法研究

Research on Simulation and Optimization Method of Village Spatial Form Based on Microclimate Performance

  • 摘要: 当前村落规划远离自然生态,空间形态呆板,存在诸多困境与问题,本文以陕西关中村落为研究对象,运用微气候与性能化研究方法,通过参数化设计平台(Rhinoceros & Grasshopper)构建参数建模、性能模拟、自动生成与遗传优化等步骤,从前期设计阶段提高村落空间的环境效益,探索村落空间形态模拟优化的方法与数字化设计流程。通过量化模拟、生成、优化等系列运算,以形体参数为自变量,选择通用热气候评价指标(UTCI)作为微气候舒适度的评价指标,以冬季热舒适度、冬季日照时数、夏季热不舒适百分比为优化目标,探讨建筑与气候环境的耦合关系,开展多目标遗传优化,提升村落的空间形态设计方法,为绿色村落规划设计实践提供参考。

     

    Abstract: In the view of difficulties and problems in the current villages' planning, which is far from the natural ecology and the spatial form is dull. This article takes villages in Guanzhong, Shaanxi Province as the research objects, uses microclimate and performative research methods, and builds steps of parameter modeling, performance simulation, automatic generation and genetic optimization through the parameterized platform (Rhinoceros & Grasshopper), in order to improve the environmental benefits of the village space from the early design stage, and explore the method and digital design process of village spatial form simulation optimization. Using quantitative simulation, generation, optimization and other series of calculations, taking shape parameters as independent variables, UTCI is selected as the microclimate comfort evaluation index. Taking winter comfort, winter sunshine hours, and summer thermal discomfort percentage as optimization goals, it explores the coupling relationship between buildings and climate environment, and carries out multi-objective genetic optimization optimizes the spatial form design method of the village and provides a reference for the green village planning and design practice.

     

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