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主管单位 中华人民共和国
工业和信息化部
主办单位 哈尔滨工业大学 主编 李隆球 国际刊号ISSN 0367-6234 国内刊号CN 23-1235/T

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引用本文:何成,朱丽,田玮.城市建筑布局的能耗敏感性分析[J].哈尔滨工业大学学报,2018,50(4):174.DOI:10.11918/j.issn.0367-6234.201703101
HE Cheng,ZHU Li,TIAN Wei.Sensitivity analysis of urban building layout on energy consumption[J].Journal of Harbin Institute of Technology,2018,50(4):174.DOI:10.11918/j.issn.0367-6234.201703101
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城市建筑布局的能耗敏感性分析
何成1,2,3,朱丽1,田玮4
(1.天津大学 建筑学院,天津 300072;2.农业部都市农业重点实验室,上海 200240; 3.华中农业大学 园艺林学学院,[KH-*8/9]武汉 430070;4.天津科技大学 机械工程学院,天津300222)
摘要:
为研究城市建筑布局对能耗的影响规律及关键性布局参数,采用仿真试验结合敏感性分析的方法,从遮挡太阳辐射减少建筑得热的角度,对武汉地区200种布局进行仿真研究.首先,通过拉丁超立方抽样(LHS)确定布局参数组合;然后,利用R语言和EnergyPlus能耗模拟软件建立200种能耗模型并计算;最后,应用标准回归系数(SRC)和树状高斯过程模型(TGP)两种全局敏感性分析方法,量化分析水平和垂直方向9个布局参数对目标建筑能耗的影响.结果表明:建筑布局对能耗有显著影响,9个布局参数的总变化,分别引起制冷、供暖和总能耗15.8%、26.8%、4.4%的波动;两种敏感性分析结果类似,对制冷和总能耗影响最大的参数是西侧建筑高度,其主效应都在0.3左右,影响最小的参数是南侧建筑面宽,其主效应都在0.1以下;影响供暖能耗最大的参数是南侧建筑的高度,其主效应在0.3以上,影响最小的参数是东侧建筑面宽.当参数取值远大于目标建筑尺寸时,各参数对能耗的影响力降低,采用TGP敏感性分析更合理.从节能减排的角度,为城市规划及建筑布局提供理论依据.
关键词:  建筑布局  庭院建筑  敏感性分析  能耗  仿真试验  树状高斯过程
DOI:10.11918/j.issn.0367-6234.201703101
分类号:TU984
文献标识码:A
基金项目:国家自然科学基金(51478297);农业部都市农业重点实验室开放基金(UA201709);天津市应用基础与前沿技术研究计划(14JCYBJC42600)
Sensitivity analysis of urban building layout on energy consumption
HE Cheng1,2,3,ZHU Li1,TIAN Wei4
(1.School of Architecture, Tianjin University,Tianjin 300072, China; 2.Key Laboratory of Urban Agriculture,Ministry of Agriculture, Shanghai 200240,China; 3.College of Horticulture and Forestry Sciences, Huazhong Agricultural University, Wuhan 430070, China; 4.College of Mechanical Engineering, Tianjin University of Science and Technology, Tianjin 300222, China)
Abstract:
To study the effect of urban building layout on energy consumption and to identify the key layout parameters, the simulation experiment and the sensitivity analysis method are used to simulate 200 kinds of layout in Wuhan from the perspective of reducing the solar radiation and heat gain. Firstly, the parameter combinations are created by Latin hypercube sampling (LHS). Then, 200 energy consumption models are established and calculated by R language and EnergyPlus energy consumption simulation software. Finally, the standard regression coefficient (SRC) and treed Gaussian process (TGP) global sensitivity analysis methods are implemented in order to explore the influence of the nine layout parameters of both horizontal and vertical direction on the target building energy consumption. The results show that the building layout has a significant effect on the energy consumption, the changes of 9 layout parameters would cause fluctuations in cooling, heating and total energy consumption of 15.8%, 26.8%, and 4.4%, respectively. The two sensitivity analysis results are similar. The parameter that has the greatest influence on the cooling and total energy consumption is the height of building in the western part, whose main effects are around 0.3. The least influential parameter is the width of the south, whose main effects are bellow 0.1. The dominant parameter of heating energy is the height of the south building, which can account for more than 30% of the variations of the output, and the smallest is the east building width. When the parameter value is much larger than the target building size, the influence of each parameter on energy consumption is reduced, and using the TGP sensitivity analysis is more reasonable. From the perspective of energy-saving and emissions reduction, this paper can provide theoretical basis for the urban planning and building layout.
Key words:  building layout  courtyard building  sensitivity analysis  energy consumption  simulation experiment  treed Gaussian process

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