globalchange  > 气候变化事实与影响
CSCD记录号: CSCD:6404993
论文题名:
使用者行为驱动的建筑节能途径探索
其他题名: Exploring Approach to Occupants' Behavior Driven Energy Efficiency of Buildings
作者: 凌薇1; 崔庆斌2; 宋波3; 邓琴琴3; 朱晓姣3
刊名: 建筑科学
ISSN: 1002-8528
出版年: 2018
卷: 34, 期:12, 页码:597-603
语种: 中文
中文关键词: 建筑节能 ; 使用者行为 ; 行为干预 ; 社会科学 ; 计算机建模
英文关键词: building energy efficiency ; occupants behavior ; behavior intervention ; social science ; computer modeling
WOS学科分类: CONSTRUCTION BUILDING TECHNOLOGY ; ARCHITECTURE
WOS研究方向: Construction & Building Technology ; Architecture
中文摘要: 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。
英文摘要: 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.
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/154333
Appears in Collections:气候变化事实与影响

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作者单位: 1.哈尔滨工业大学建筑学院
2.马里兰大学
3.全球变化联合研究所, 寒地城乡人居环境科学与技术工业和信息化部重点实验室
4.太平洋西北国家实验室, 哈尔滨
5.帕克
6.帕克,
7.美国
8.美国 150006
9.20742
10.20740
11.马里兰大学, 帕克, 20742, 美国
12.中国建筑科学研究院有限公司, 北京 100013, 中国

Recommended Citation:
凌薇,崔庆斌,宋波,等. 使用者行为驱动的建筑节能途径探索[J]. 建筑科学,2018-01-01,34(12):597-603
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