中低层住宅建筑形态气候适应性优化设计策略研究

李智兴; 潘鑫晨; 董庆鑫

doi:10.13204/j.gyjzg20122320

中低层住宅建筑形态气候适应性优化设计策略研究

doi: 10.13204/j.gyjzg20122320

李智兴¹,
潘鑫晨^2,3, ,,
董庆鑫⁴

1. 浙江工业大学设计与建筑学院, 杭州 310023;
2. 天津大学建筑学院, 天津 300072;
3. 沈阳理工大学建筑系, 沈阳 110159;
4. 首都师范大学美术学院, 北京 100048

详细信息

作者简介:
李智兴,男,1991年出生,博士,讲师。

通讯作者:
潘鑫晨,xinchenpan@outlook.com。

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- 文章访问数: 195
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- 被引次数: 0
出版历程
- 收稿日期: 2020-12-23
- 网络出版日期: 2022-10-28

Research on Climate Responsive Design and Optimization of Middle and Low-Rise Residential Buildings

1. School of Design and Architecture, Zhejiang University of Technology, Hangzhou 310023, China;
2. School of Architecture, Tianjin University, Tianjin 300072, China;
3. Department of Architecture, Shenyang Polytechnic University, Shenyang 110159, China;
4. College of Fine Arts, Capital Normal University, Beijing 100048, China

摘要

摘要: 研究提出了针对我国典型城市的中低层住宅建筑气候适应性设计策略，目的是针对不同气候区典型城市的气候特点，建立多变量、多目标的关联性参数分析框架。通过住宅社区的建筑形态模式，如建筑长宽比例、体形系数、社区容积率等参数，基于我国5个典型城市的气象参数，以光环境舒适度和建筑能量需求为目标，来搜索各城市最优建筑形态参数，利用多目标优化作为建筑节能的前期分析手段，总结各典型城市中低层住宅建筑形态设计的规律。
- 气候适应性设计 /
- 光环境舒适度 /
- 建筑能量需求 /
- 最优建筑形态参数
Abstract: The research proposd a climate responsive design strategy for low- and middle-rise residential buildings in typical Chinese cities, in order to establish a multi-variable, multi-objective correlation parameter analysis framework based on the climate characteristics of typical cities in different climate zones. Through the residential building form parameters, such as the length-to-width ratio, the body shape coefficient, the community floor area ratio and other parameters, base on the meteorological parameters of five typical cities in China, with the objectives of lighting environment comfort and building energy demand, the study aimed to search for the optimal building form parameters in each city, and use multi-objective optimization as a pre-analytical method for building energy efficiency, to summarize the design rules of low and middle-rise residential buildings in Chinese typical cities.
- climate responsive design /
- lighting environment comfort /
- building energy demand /
- optimal building form parameters

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参考文献(18)

[1]	宋琪. 被动式建筑设计基础理论与方法研究[D].西安:西安建筑科技大学,2015.
[2]	GIVONI B. Man, climate and architecture[M]. Canada:Applied Science Publisher,1969.
[3]	ALSOUSI M. User response to energy conservation and thermal comfort of high-rise residential buildings in hot humid region with referring to Gaza[D]. UK:University of Nottingham, 2005.
[4]	ENEDIR G,RICARDO F M. Thermal performance of bedrooms in a multi-storey residential building in southern Brazil[J].Building and Environment, 2007(42):730-742.
[5]	VIRGILIO C, FERDINANDO S, SERENA F, et al.Energy demands of buildings in the framework of climate change:an investigation across Europe[J].Sustainable Cities and Society, 2020(60):102-213.
[6]	FATIMA H, FAROUK F, PASCAL H B. Passive design optimization of low energy buildings in different climates[J].Energy, 2018(165):591-613.
[7]	FATIMA H.Optimal design of net zero energy buildings under different climates[D]. France:Blue Coast University,2018.
[8]	JVRGEN S, WOLFGANG F, LUDWIG R. Passive houses for different climate zones[J].Energy and Buildings, 2015(105):71-87.
[9]	LETIZIA M, ANDREAS M. Influence of height/width proportions on the thermal comfort of courtyard typology for Italian climate zones[J].Sustainable Cities and Society,2017(29):97-106.
[10]	杨柳. 建筑气候分析与设计策略研究[D].西安:西安建筑科技大学,2003.
[11]	茅艳.人体热舒适气候适应性研究[D].西安:西安建筑科技大学,2007.
[12]	杨鸿玮. 基于性能表现的既有建筑绿色化改造设计方法与预测模型[D].天津:天津大学,2016.
[13]	江亿.我国建筑节能战略研究[J].中国工程科学,2011,13(6):30-38.
[14]	刘家平,周伟,赵群,等.商州山地民居研究报告集[R].西安:西安建筑科技大学,2003.
[15]	中华人民共和国住房和城乡建设部.民用建筑设计通则:GB 50352-2019[S] 北京:中国建筑工业出版社,2019.
[16]	NABIL A, MARDALJEVIC J.Useful daylight illuminances:a replacement for daylight factors[J] Energy and Buildings,2006, 38(7):905-913.
[17]	陈航. 基于多目标优化算法的寒冷地区办公建筑窗口设计研究[D].天津:天津大学,2017.
[18]	ZITZLER E, LAUMANNS M, THIELE L. Spea2:improving the strength Pareto evolutionary algorithm for multiobjective optimization[C]//Evolutionary Methods for Design, Optimization and Control with Applications to Industrial Problems. Athens. Greece:2001.