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Automating Microclimate Evaluation and Optimization during Urban Design: A Rhino–Grasshopper Workflow

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成果类型:
期刊论文
作者:
Bedra, Komi Bernard;Zheng, Jian;Li, Jiayu;Sun, Zhaoqian;Zheng, Bohong
通讯作者:
Bedra, KB;Zheng, J
作者机构:
[Bedra, Komi Bernard; Bedra, KB] Hunan City Univ, Sch Architecture & Urban Planning, Yiyang 413000, Peoples R China.
[Zheng, J; Zheng, Jian] Changsha Univ Sci & Technol, Sch Architecture, Changsha 410083, Peoples R China.
[Li, Jiayu; Zheng, Bohong; Sun, Zhaoqian] Cent South Univ, Sch Architecture & Art, Changsha 410083, Peoples R China.
通讯机构:
[Bedra, KB ] H
[Zheng, J ] C
Hunan City Univ, Sch Architecture & Urban Planning, Yiyang 413000, Peoples R China.
Changsha Univ Sci & Technol, Sch Architecture, Changsha 410083, Peoples R China.
语种:
英文
关键词:
microclimate evaluation;automation;spatial indicators;thermal comfort;evolutionary optimization;Rhino-Grasshopper
期刊:
Sustainability
ISSN:
2071-1050
年:
2023
卷:
15
期:
24
页码:
16613-
基金类别:
Conceptualization, K.B.B.; methodology, K.B.B.; software, K.B.B. and Z.S.; validation, K.B.B., J.Z. and J.L.; formal analysis, K.B.B., J.Z., Z.S. and J.L.; investigation, Z.S., J.L., J.Z. and B.Z.; resources, J.Z. and J.L.; data curation, K.B.B., Z.S. and J.Z.; writing—original draft preparation, K.B.B.; writing—review and editing, K.B.B., J.Z. and J.L.; visualization, K.B.B., J.Z., J.L. and B.Z.; supervision, B.Z.; project administration, B.Z.; funding acquisition, B.Z. and J.L. All authors have read and agreed to the published version of the manuscript. This research was funded by the National Natural Science foundation of China, grant number 72174211; the Hunan Provincial Natural Science Foundation, grant numbers 2023JJ30693 and 2023JJ40728; the Hunan Provincial Philosophy and Social Science Planning Fund, grant number XSP20ZDI020; the Central South University New Teachers Research Funding, grant number 502044009; and the 2022 Hunan Province Postgraduate Research and Innovation Project, grant number CX20220123.
机构署名:
本校为第一且通讯机构
院系归属:
建筑与城市规划学院
摘要:
Though building-scale energy demand and indoor thermal comfort have been extensively covered by recent studies, the automation of middle- and larger-scale outdoor microclimate evaluation in parametric design is less covered. The relatively slow computation and the need for sophisticated expertise are some of the current issues. This paper proposes a Rhino–Grasshopper custom script to automatically compute spatial indicators for a quick thermal comfort estimation. The Galapagos evolutionary algorithm is used to optimize thermal comfort and sele...

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