Research on Simulation and Optimization Method of Village Spatial Form Based on Microclimate Performance
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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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Key words:
- microclimate /
- performative /
- digitization /
- spatial form of village /
- simulation and optimization /
- design process
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[1] Oke T R. Street design and urban canopy layer climate[J]. Energy and Buildings, 1988, 11(1-3):103-113. [2] 金虹, 王博. 城市微气候及热舒适性评价研究综述[J]. 建筑科学, 2017, 33(8):1-8. [3] 冷红, 袁青. 城市微气候环境控制及优化的国际经验及启示[J]. 国际城市规划, 2014, 29(6):114-119. [4] 张欣宇, 金虹. 基于改善冬季风环境的东北村落形态优化研究[J]. 建筑学报, 2016(10):83-87. [5] Geiger R. Microclimates (Book reviews:The climate near the ground)[J]. The Scientific Monthly, 1951, 72(2):132. [6] 丁沃沃, 胡友培, 窦平平. 城市形态与城市微气候的关联性研究[J]. 建筑学报, 2012(7):16-21. [7] Ryozo Ooka. Recent development of assessment tools for urban climate and heat-island investigation especially based on experiences in Japan[J]. International Journal of Climatology, 2007, 27(14):1919-1930. [8] Yuan Shi, Ren Chao, Zheng Yingsheng, et al. Mapping the urban microclimatic spatial distribution in a sub-tropical high-density urban environment[J]. Architectural Science Review, 2016, 59(5):370-384. [9] 朱颖心.建筑环境学[M].北京:中国建筑工业出版社, 2010. [10] 刘念雄, 秦佑国. 建筑热环境[M]. 北京:清华大学出版社, 2005. [11] ASHRAE. Physiological principles and thermal comfort[M]//ASHRAE. Handbook Fundamentals. Atlanta:ASHRAE, 1993:85. [12] 陈睿智, 董靓. 国外微气候舒适度研究简述及启示[J]. 中国园林, 2009, 25(11):81-83. [13] Olgyay V. Design with Climate:Bioclimatic Approach to Architectural Regionalism[M]. New Jersey:Princeton University Press, 2015. [14] 郝石盟. 民居气候适应性研究[D]. 北京:清华大学, 2016. [15] 吴志丰, 陈利顶.热舒适度评价与城市热环境研究:现状、特点与展望[J]. 生态学杂志, 2016, 35(5):1364-1371. [16] Andreas Matzarakis, Matuschek Olaf. Sky view factor as a parameter in applied climatology-rapid estimation by the SkyHelios model[J]. Meteorologische Zeitschrift, 2011, 20(1):39-45. [17] IUPS. Glossary of terms for thermal physiology[J]. Pflugers Archiv European Journal of Physiology, 2001, 51(4-5):245-280. [18] 孙澄, 韩昀松. 绿色性能导向下的建筑数字化节能设计理论研究[J]. 建筑学报, 2016(11):89-93. [19] 袁烽, 朱蔚然, 高伟哲. 性能化建造何为?[J]. 建筑技艺, 2019(9):8-14. [20] 孙澄, 韩昀松, 任惠. 面向人工智能的建筑计算性设计研究[J]. 建筑学报, 2018(9):98-104. -
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