Abstract
Occupants are integral elements of a building ecosystem and their behavior can have a substantial impact on energy consumption in buildings. A wide range of energy feedback programs have been developed to make energy consumption more visible and interpretable to occupants and help them learn how to control and save energy. In this paper, we conduct a critical review of the literature related to energy feedback and identify four key methodological approaches to designing and studying energy feedback programs: experiments, analytics, surveys and simulation. Our meta-analysis reveals five research gaps and opportunities for future methodological fusion at the intersection between such approaches, including the analytics-survey, experiments-analytics, experiments-analytics-surveys, simulation-experiments and analytics-simulation interfaces. Future research at these crucial interfaces could provide the deeper understanding necessary to develop energy feedback programs that yield substantial and persistent energy savings.
| Original language | English |
|---|---|
| Pages (from-to) | 304-316 |
| Journal | Applied Energy |
| Volume | 218 |
| Online published | 12 Mar 2018 |
| DOIs | |
| Publication status | Published - 15 May 2018 |
Funding
This text is based on work supported by the Department of Energy Building Technologies Program and the National Science Foundation – United States under Grants No. 1142379, 1461549 and 1639266. Any opinions, findings and conclusions or recommendations expressed in this material are those of the authors alone and do not necessarily reflect the views of the Department of Energy or the National Science Foundation.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 7 Affordable and Clean Energy
Research Keywords
- Building energy efficiency
- Energy feedback
- Occupant behavior
- Research methods
Policy Impact
- Cited in Policy Documents
Fingerprint
Dive into the research topics of 'A review of occupant energy feedback research: Opportunities for methodological fusion at the intersection of experimentation, analytics, surveys and simulation'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver