摘要
为挖掘使用者行为在建筑领域的节能潜力,本文讨论了行为因素相关的节能手段。重点阐述了基于行为干预的建筑节能途径。首先,建立行为干预研究框架,明确行为干预试验流程。其次,对比分析干预策略特征及适用范围。再次,建立行为干预模型,提出结合社会学理论的未知变量分析方法,描述博弈论、观点动力学理论及代理人模拟技术在定量分析模型中的应用。最后,提出本领域待解决的问题及建议。行为干预策略为政府制定节能政策提供参考,行为干预模型为智能建筑的绿色升级提供途径。研究成果与"绿色行动方案"结合,创建符合国情的建筑节能行为引导机制和绿色智能建筑体系,对建筑业节能减排,应对气候变化,具有积极的理论意义和应用价值。
In order to tap the energy-saving potential of occupants behavior in building sector,the energy efficient measures related to behavioral factors are discussed in the paper.Approach to occupants'behavior driven energy efficiency of buildings is highlighted.Firstly,the behavioral intervention research framework is established and the behavioral intervention trial process is defined.Secondly,the characteristics of the intervention strategies and the applicable ranges are comparative analyzed.Thirdly,the behavior intervention model is set up.The combined with social science analysis method of unknown variables is suggested,and the applications of Game Theory,Opinion Dynamics Theory and Agent-Based modeling technology in quantitative analysis model are described.Finally,the problems and suggestions to be solved in this field are presented.Behavior intervention strategies are references for the government to formulate energy-saving policies,and the behavioral intervention models provide ways for the green upgrading of intelligent buildings.Research results being combined with the Green Action Plan,creating building energy conservation behavior guide mechanism conforming to the national conditions and the green intelligent building system have positive theoretical significance and application value for saving energy,cutting greenhouse gas emissions and fighting climate change
作者
凌薇
崔庆斌
宋波
邓琴琴
朱晓姣
LING Wei;CUI Qingbin;SONG Bo;DENG Qinqin;ZHU Xiaojiao(School of Architecture,Harbin Institute of Technology,Key Laboratory of Cold Region Urban and Rural Human Settlement Environment Science and Technology,Ministry of Industry and Information Technology,Harbin 150006,China;University of Maryland,College Park 20742,USA;China Academy of Building Research ,Belting100013,China;Pacific Northwest National Laboratory Joint Global Change Research Institute,College Park 20740,USA)
出处
《建筑科学》
CSCD
北大核心
2018年第12期130-139,共10页
Building Science
基金
国家重点研发计划“政府间国际科技创新合作”2017年度重点专项“公共机构合同能源管理与能效提升应用示范”(2017YFE0105700).
关键词
建筑节能
使用者行为
行为干预
社会科学
计算机建模
building energy efficiency
occupants behavior
behavior intervention
social science
computer modeling
