What can we learn from high-frequency appliance-level energy metering? Results from a field experiment

B-Tier
Journal: Energy Policy
Year: 2015
Volume: 77
Issue: C
Pages: 164-175

Authors (4)

Chen, Victor L. (not in RePEc) Delmas, Magali A. (University of California-Los A...) Kaiser, William J. (not in RePEc) Locke, Stephen L. (not in RePEc)

Score contribution per author:

0.505 = (α=2.02 / 4 authors) × 1.0x B-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

This study uses high-frequency appliance-level electricity consumption data for 124 apartments over 24 months to provide a better understanding of appliance-level electricity consumption behavior. We conduct our analysis in a standardized set of apartments with similar appliances, which allows us to identify behavioral differences in electricity use. The Results show that households' estimations of appliance-level consumption are inaccurate and that they overestimate lighting use by 75% and underestimate plug-load use by 29%. We find that similar households using the same major appliances exhibit substantial variation in appliance-level electricity consumption. For example, households in the 75th percentile of HVAC usage use over four times as much electricity as a user in the 25th percentile. Additionally, we show that behavior accounts for 25–58% of this variation. Lastly, we find that replacing the existing refrigerator with a more energy-efficient model leads to overall energy savings of approximately 11%. This is equivalent to results from behavioral interventions targeting all appliances but might not be as cost effective. Our findings have important implications for behavior-based energy conservation policies.

Technical Details

RePEc Handle
repec:eee:enepol:v:77:y:2015:i:c:p:164-175
Journal Field
Energy
Author Count
4
Added to Database
2026-01-25