Investigating the impact eco-feedback information representation has on building occupant energy consumption behavior and savings

被引:80
作者
Jain, Rishee K. [1 ]
Taylor, John E. [2 ]
Culligan, Patricia J. [1 ]
机构
[1] Columbia Univ, Dept Civil Engn & Engn Mech, New York, NY 10027 USA
[2] Virginia Tech, Charles E Via Jr Dept Civil & Environm Engn, Blacksburg, VA 24061 USA
基金
美国国家科学基金会;
关键词
Data representation; Eco-feedback; Energy use feedback; Energy efficiency; Information representation; Interface design; Monitoring; User interface; HOUSEHOLD ELECTRICITY CONSUMPTION; PREFERENCES;
D O I
10.1016/j.enbuild.2013.05.011
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
In response to rising energy costs and concerns over environmental emissions, researchers and practitioners have developed eco-feedback systems to provide building occupants with information on their energy consumption. While such eco-feedback systems have been observed to drive significant reductions in energy consumption, little is known as to what specific design features of these systems are most motivational. One common feature of eco-feedback systems is the way in which energy consumption is represented to users. In this study, we empirically examine the impact that information representation has on energy consumption behavior by comparing the effectiveness of direct energy feedback versus feedback represented as an environmental externality. A I month empirical study with 39 participants in an urban residential building was conducted. Participants were divided into two different study groups: one group was provided with feedback in direct energy units and a second group was provided feedback in environmental externality units. Results revealed that information representation has a statistically significant impact on the energy consumption behavior of users, and that users receiving eco-feedback as an environmental externality reduced their consumption more than their counterparts who received feedback in direct energy units. This study represents a crucial first step toward gaining a deeper understanding of how information representation can be leveraged to maximize energy savings. (C) 2013 Elsevier B.V. All rights reserved.
引用
收藏
页码:408 / 414
页数:7
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