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Volume 51 Issue 8
Nov.  2021
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LIU Ke, XU Xiaodong, WANG Wei. RESEARCH ON AUTOMATIC OPTIMIZATION METHOD OF RESIDENTIAL DISTRICT LAYOUT BASED ON ENERGY EFFICIENCY[J]. INDUSTRIAL CONSTRUCTION, 2021, 51(8): 1-10,27. doi: 10.13204/j.gyjzG20111404
Citation: LIU Ke, XU Xiaodong, WANG Wei. RESEARCH ON AUTOMATIC OPTIMIZATION METHOD OF RESIDENTIAL DISTRICT LAYOUT BASED ON ENERGY EFFICIENCY[J]. INDUSTRIAL CONSTRUCTION, 2021, 51(8): 1-10,27. doi: 10.13204/j.gyjzG20111404

RESEARCH ON AUTOMATIC OPTIMIZATION METHOD OF RESIDENTIAL DISTRICT LAYOUT BASED ON ENERGY EFFICIENCY

doi: 10.13204/j.gyjzG20111404
  • Received Date: 2020-11-14
    Available Online: 2021-11-10
  • Publish Date: 2021-11-10
  • There are many serious challenges for the environment and energy in China, energy efficiency in residential districts has attracted much attention. Optimizing the layout of residential districts to improve urban microclimate is an effective mean to reduce building energy consumption. Based on the Grasshopper parametric platform, combined with the Ladybug Tools,a simulation plug-in of sunshine, microclimate, and energy consumption, and using the single-objective genetic algorithm operator Galapagos, the paper proposed an energy-efficiency-oriented method for automatically optimizing the layout of residential districts. This paper took the planning of a high-rise residential district in Nanjing city as an example, selected the building location, building orientation, and building height as the form variables, and took the total energy use intensity of the annual building cooling and heating load as the optimization objective to develop the form layout and its automatic optimization, and explained its use steps and application effects in detail. The results showed that a better energy-saving effect could be achieved in the early scheme stage by optimizing the layout of residential districts. This method could provide technical reference for designers to design energy saving in the early stage.
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  • [1]
    吕玉兰. 城镇化背景下中国能源消费问题的多尺度时空分析[D]. 济南:山东大学, 2019.
    [2]
    中国建筑节能协会. 2019中国建筑能耗研究报告[J]. 建筑, 2020(7):30-39.
    [3]
    周艺南. 高能效城市设计:密度、类型与能源性能[J]. 建筑科学, 2017,33(4):164-172.
    [4]
    QUAN S J, WU J, WANG Y, et al. Urban Form and Building Energy Performance in Shanghai Neighborhoods[J]. Energy Procedia, 2016,88:126-132.
    [5]
    刘加平, 高瑞, 成辉. 绿色建筑的评价与设计[J]. 南方建筑, 2015(2):4-8.
    [6]
    徐小东, 王建国. 绿色城市设计[M]. 2版. 南京:东南大学出版社, 2018.
    [7]
    WONG N H, JUSUF S K, SYAFⅡ N I, et al. Evaluation of the Impact of the Surrounding Urban Morphology on Building Energy Consumption[J]. Solar Energy, 2011,85(1):57-71.
    [8]
    ROUDSARI M S, PAK M. Ladybug:A Parametric Environmental Plugin for Grasshopper to Help Designers Create an Environmentally-Conscious Design[C]//Proceedings of BS 2013:13th Conference of the International Building Performance Simulation Association. Chambery, France:2013:3128-3135.
    [9]
    XU X, WU Y, WANG W, et al. Performance-Driven Optimization of Urban Open Space Configuration in the Cold-Winter and Hot-Summer Region of China[J]. Building Simulation, 2019,12(3):411-424.
    [10]
    XU X, YIN C, WANG W, et al. Revealing Urban Morphology and Outdoor Comfort Through Genetic Algorithm-Driven Urban Block Design in Dry and Hot Regions of China[J]. Sustainability, 2019,11(13):1-19.
    [11]
    NATANIAN J, ALEKSANDROWICZ O, AUER T. A Parametric Approach to Optimizing Urban Form, Energy Balance and Environmental Quality:The Case of Mediterranean Districts[J]. Applied Energy, 2019,254. DOI: 10.1016/j.apenergy.2019.113637.
    [12]
    VARTHOLOMAIOS A. A Parametric Sensitivity Analysis of the Influence of Urban Form on Domestic Energy Consumption for Heating and Cooling in a Mediterranean City[J]. Sustainable Cities and Society, 2017,28:135-145.
    [13]
    STRØMANN-ANDERSEN J, SATTRUP P A. The Urban Canyon and Building Energy Use:Urban Density Versus Daylight and Passive Solar Gains[J]. Energy and Buildings, 2011,43(8):2011-2020.
    [14]
    LI X, YING Y, XU X, et al. Identifying Key Determinants for Building Energy Analysis from Urban Building Datasets[J]. Building and Environment, 2020,181. DOI: 10.1016/j.buildenv.2020.107114.
    [15]
    于洋, 李姝雅, 杨辉, 等. 住区规划建筑负荷快速预测模型研究[J]. 工业建筑, 2020,50(7):88-94.
    [16]
    冷红, 陈曦, 马彦红. 城市形态对建筑能耗影响的研究进展与启示[J]. 建筑学报, 2020(2):120-126.
    [17]
    毕晓健, 刘丛红. 基于Ladybug+Honeybee的参数化节能设计研究:以寒冷地区办公综合体为例[J]. 建筑学报, 2018(2):44-49.
    [18]
    刘宇鹏. 基于微气候性能驱动的寒地城市形态自动优化方法研究[D]. 南京:东南大学, 2018.
    [19]
    石峰, 周晓琳. 基于Ladybug Tools的可变建筑表皮参数化设计方法研究[J]. 新建筑, 2020(3):70-75.
    [20]
    BUENO B, NORFORD L, HIDALGO J, et al. The Urban Weather Generator[J]. Journal of Building Performance Simulation, 2012,6(4):1-13.
    [21]
    刘丹凤, 陈宏. 基于室外环境性能模拟的街区形态参数化设计[C]//2019全国建筑院系建筑数字技术教学与研究学术研讨会论文集. 重庆:2019.
    [22]
    江苏省住房和城乡建设厅. 江苏省城市规划管理技术规定(2011年版)[S]. 南京:江苏人民出版社, 2012.
    [23]
    中华人民共和国住房和城乡建设部. 建筑设计防火规范:GB 50016-2014[S]. 北京:中国计划出版社, 2018.
    [24]
    南京市规划局. 南京市日照影响分析规划管理办法:宁规规范字[2018]1号[S]. 南京:南京市规划局, 2018.
    [25]
    南京市城市规划编制研究中心. 南京市建筑日照分析技术细则[S]. 南京:南京市规划局, 2018.
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