期刊文献+

基于大规模问卷调研的住宅夏季空调典型行为模式研究 被引量:8

Research on Typical Behavior Pattern Rof Esidential Summer Air Conditioning Based on Large Scale Questionnaire Survey
下载PDF
导出
摘要 建筑中人行为是影响建筑能耗的重要因素。由于人行为多样性的特点,具有不同用能特征的人行为将导致建筑能耗的巨大差异。为在标准制定、节能措施和政策研究等工程应用中定量研究人行为的影响,一方面需要定量的人行为模型,另一方面也需要形成几种典型的人行为模式及分布,以一种简化而符合用能行为现状的方式描述大量人的行为特征。本文对人行为模式及分布的生成方法做了初步研究,基于在中国成都做的大规模人行为问卷调查,采用模拟的方法得到不同空调行为模式下的能耗,并以模拟的能耗作为指标,对多样的行为模式做了分类,获得了几种典型的行为模式及数量上的分布。可进一步研究的内容包括其他行为的分类,对人行为分类的算法,以及分类结果的验证。 Human behavior is an important factor affecting the building energy consumption.Because of the diversity of human behavior, People with different characteristics of the human behavior will lead to a huge difference in building energy consumption.In order to quantitatively study the influence of human behavior in standard setting, energy saving measures and policy research.On the one hand, it needs quantitative human behavior model.On the other hand, it also needs to form several typical patterns of human behavior and its distribution.Describing the behavior characteristics of a large number of people in a manner that is simple and consistent with the status quo of the behavior of the use of energy.In this paper, a preliminary study on the generation method of human behavior patterns and distribution is made.A questionnaire survey of large scale human behavior based on Chengdu in China.The energy consumption of different modes of air conditioning is obtained by simulation.And to simulate the energy consumption as an index.A variety of behavior patterns are classified.Several typical behavior patterns and the distribution of the number of.Further study of the contents of other acts of classification.An algorithm for the classification of human behavior.Validation of classification results.
出处 《建筑技术开发》 2016年第2期90-95,共6页 Building Technology Development
关键词 人行为 建筑能耗模拟 问卷调查 分类 human behavior building energy consumption simulation questionnaire survey classification
  • 相关文献

参考文献15

  • 1Al-Mumin A, Khattab O, Sridhar G. Occupants' behavior and activity patterns influencing the energy consumption in the Kuwaiti residences[J]. Energy and Buildings, 2003, 35(6): 549-559.
  • 2Clevenger C M, Haymaker J. The impact of the building occupant on energy modeling simulations[C]//Joint International Conference on Computing and Decision Making in Civil and Building Engineering, Montreal, Canada. 2006: 1-10.
  • 3李兆坚,江亿,魏庆芃.北京市某住宅楼夏季空调能耗调查分析[J].暖通空调,2007,37(4):46-51. 被引量:46
  • 4Nicol J F, Humphreys M A. A Stochastic Approach to Thermal Comfort-Occupant Behavior and Energy Use in Buildings[J]. ASI-IRAE transactions, 2004, 110(2).
  • 5Andersen R, Fabi V, Toftum J, et al. Window opening behaviour modelled from measurements in Danish dwellings[J]. Building and environment, 2013, 69: 101-113.
  • 6Yasue R, Habara H, Nakamichi A, et al. Modeling the occupant behavior relating to window and air conditioner operation based on survey results[J].
  • 7Yu Z, Fung B C M, Haghighat F, et al. A systematic procedure to study the influence of occupant behavior on building energy consumption[J]. Energy and Buildings, 2011, 43(6): 1409-1417.
  • 8D'Oca S, Hong T. A data-mining approach to discover patterns of window opening and closing behavior in offices[J]. Building and Environment, 2014, 82: 726-739.
  • 9Ran X, Yan D, Hong T. Data mining of space heating system performance in affordable housing[J]. Building and Environment, 2015, 89: 1-13.
  • 10Yan D, Xia J, Tang W, et al. DeST-An integrated building simulation toolkit Part I: Fundamentals[C]//Building Simulation. Tsinghua Press, 2008, 1(2): 95-110.

二级参考文献14

共引文献83

同被引文献69

引证文献8

二级引证文献24

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部