Abstract
Building electrification is putting pressure on distribution grid worldwide. Peak reduction is an important concern that can help reduce the growing stress and allow to defer investments in new capacity. Water heaters represent a convenient way of reducing peak because they are less dependent on weather, and their storage volume allows for asynchronous water heating and hot water use. Previous empirical studies investigated the ability of water heaters to reduce peak through the adjustment of the temperature setpoint. However, not all equipment vendors offer this option. This study aims at understanding the feasibility of peak reduction with an alternative configuration available in the market - by adjusting the device mode rather than temperature setpoint. The peak reduction methodology is tested in an occupied 46-townhome neighborhood located in Atlanta, GA. We find that peak shifting is possible with the adjustable mode approach, with the change in the peak load by 30-60%.
| Original language | English |
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| Title of host publication | 2023 IEEE PES Innovative Smart Grid Technologies Latin America, ISGT-LA 2023 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 455-459 |
| Number of pages | 5 |
| ISBN (Electronic) | 9798350336962 |
| DOIs | |
| State | Published - 2023 |
| Event | 2023 IEEE PES Innovative Smart Grid Technologies Latin America, ISGT-LA 2023 - San Juan, United States Duration: Nov 6 2023 → Nov 9 2023 |
Publication series
| Name | 2023 IEEE PES Innovative Smart Grid Technologies Latin America, ISGT-LA 2023 |
|---|
Conference
| Conference | 2023 IEEE PES Innovative Smart Grid Technologies Latin America, ISGT-LA 2023 |
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| Country/Territory | United States |
| City | San Juan |
| Period | 11/6/23 → 11/9/23 |
Funding
This manuscript has been authored by UT-Battelle, LLC under Contract No. DE-AC05-00OR22725 with the U.S. Department of Energy. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form ACKNOWLEDGMENT This material is based upon work supported by the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, Buildings Technologies Office, under contract number DE-AC05-00OR22725.
Keywords
- Demand response
- direct load control
- model predictive control
- peak shifting
- smart grid
- water heater