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A review of occupant energy feedback research: Opportunities for methodological fusion at the intersection of experimentation, analytics, surveys and simulation

  • Ardalan Khosrowpour
  • , Rishee K. Jain
  • , John E. Taylor*
  • , Gabriel Peschiera
  • , Jiayu Chen
  • , Rimas Gulbinas
  • *Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 62 - Review of books or of software (or similar publications/items)peer-review

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 languageEnglish
Pages (from-to)304-316
JournalApplied Energy
Volume218
Online published12 Mar 2018
DOIs
Publication statusPublished - 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)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Research Keywords

  • Building energy efficiency
  • Energy feedback
  • Occupant behavior
  • Research methods

Policy Impact

  • Cited in Policy Documents

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