| ID | 137682 |
| Title Proper | What can we learn from high-frequency appliance-level energy metering? results from a field experiment |
| Language | ENG |
| Author | Delmas, Magali A ; Chen, Victor L ; Kaiser, William J ; Locke, Stephen L |
| Summary / Abstract (Note) | 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. |
| `In' analytical Note | Energy Policy Vol. 77; Feb 2015: p.164–175 |
| Journal Source | Energy Policy 2015-02 77 |
| Key Words | Consumer Behavior ; Smart Metering ; Field Experiments ; Energy Monitoring ; Information Feedback ; Appliance Electricity Usage |