A simulation approach to estimate energy savings potential of occupant behavior measures
Abstract
Occupant behavior in buildings is a leading factor influencing energy use in buildings. Low-cost behavioral solutions have demonstrated significant potential energy savings. Estimating the behavioral savings potential is important for a more effective design of behavior change interventions, which in turn will support more effective energy-efficiency policies. This study introduces a simulation approach to estimate the energy savings potential of occupant behavior measures. First it defines five typical occupant behavior measures in office buildings, then simulates and analyzes their individual and integrated impact on energy use in buildings. The energy performance of the five behavior measures was evaluated using EnergyPlus simulation for a real office building across four typical U.S. climates and two vintages. The Occupancy Simulator was used to simulate the occupant movement in each zone with inputs from the site survey of the case building. Based on the simulation results, the occupant behavior measures can achieve overall site energy savings as high as 22.9% for individual measures and up to 41.0% for integrated measures. Although energy savings of behavior measures would vary depending upon many factors, the presented simulation approach is robust and can be adopted for other studies aiming to quantify occupant behavior impact on building performance.
- Authors:
-
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
- Publication Date:
- Research Org.:
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC)
- OSTI Identifier:
- 1532225
- Alternate Identifier(s):
- OSTI ID: 1419528
- Grant/Contract Number:
- AC02-05CH11231
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Energy and Buildings
- Additional Journal Information:
- Journal Volume: 136; Journal Issue: C; Journal ID: ISSN 0378-7788
- Publisher:
- Elsevier
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 29 ENERGY PLANNING, POLICY, AND ECONOMY; 32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION
Citation Formats
Sun, Kaiyu, and Hong, Tianzhen. A simulation approach to estimate energy savings potential of occupant behavior measures. United States: N. p., 2016.
Web. doi:10.1016/j.enbuild.2016.12.010.
Sun, Kaiyu, & Hong, Tianzhen. A simulation approach to estimate energy savings potential of occupant behavior measures. United States. https://doi.org/10.1016/j.enbuild.2016.12.010
Sun, Kaiyu, and Hong, Tianzhen. Tue .
"A simulation approach to estimate energy savings potential of occupant behavior measures". United States. https://doi.org/10.1016/j.enbuild.2016.12.010. https://www.osti.gov/servlets/purl/1532225.
@article{osti_1532225,
title = {A simulation approach to estimate energy savings potential of occupant behavior measures},
author = {Sun, Kaiyu and Hong, Tianzhen},
abstractNote = {Occupant behavior in buildings is a leading factor influencing energy use in buildings. Low-cost behavioral solutions have demonstrated significant potential energy savings. Estimating the behavioral savings potential is important for a more effective design of behavior change interventions, which in turn will support more effective energy-efficiency policies. This study introduces a simulation approach to estimate the energy savings potential of occupant behavior measures. First it defines five typical occupant behavior measures in office buildings, then simulates and analyzes their individual and integrated impact on energy use in buildings. The energy performance of the five behavior measures was evaluated using EnergyPlus simulation for a real office building across four typical U.S. climates and two vintages. The Occupancy Simulator was used to simulate the occupant movement in each zone with inputs from the site survey of the case building. Based on the simulation results, the occupant behavior measures can achieve overall site energy savings as high as 22.9% for individual measures and up to 41.0% for integrated measures. Although energy savings of behavior measures would vary depending upon many factors, the presented simulation approach is robust and can be adopted for other studies aiming to quantify occupant behavior impact on building performance.},
doi = {10.1016/j.enbuild.2016.12.010},
journal = {Energy and Buildings},
number = C,
volume = 136,
place = {United States},
year = {Tue Dec 06 00:00:00 EST 2016},
month = {Tue Dec 06 00:00:00 EST 2016}
}
Web of Science
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