Using Synchronization as an Indicator of Controllability in a Fleet of Water Heaters

Eve Tsybina, Viswadeep Lebakula, Justin Hill, Jeff Munk, Helia Zandi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Peak reduction is an important concern that can help reduce the growing stress on distribution grid and allow to defer investments in new capacity. However, the growing concern for customer privacy and comfort may impact the performance of load control for residential devices. Water heaters represent a convenient way of reducing peak due to their ability to store thermal energy for future use. In this paper, we developed a methodology to help utilities gain more insight with respect to the impact of load control efforts for shaving peak with no necessary information about the water heaters except the device status (on/off). To this end, we use a fleet of water heaters in a controlled residential neighborhood in Atlanta, GA. Our findings show that convergence in device status can serve as a proxy for peak shifting during hours of the evening peak.

Original languageEnglish
Title of host publication2023 North American Power Symposium, NAPS 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350315097
DOIs
StatePublished - 2023
Event2023 North American Power Symposium, NAPS 2023 - Asheville, United States
Duration: Oct 15 2023Oct 17 2023

Publication series

Name2023 North American Power Symposium, NAPS 2023

Conference

Conference2023 North American Power Symposium, NAPS 2023
Country/TerritoryUnited States
CityAsheville
Period10/15/2310/17/23

Funding

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.

FundersFunder number
U.S. Department of Energy
Office of Energy Efficiency and Renewable Energy
Building Technologies OfficeDE-AC05-00OR22725

    Keywords

    • Demand response
    • peak reduction
    • smart grid
    • synchronization
    • water heater

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