Peak Reduction Using Mode Adjustment of Heat Pump Water Heaters in a Residential Neighborhood

Eve Tsybina, Chris Winstead, Justin Hill, Kadir Amasyali, Nora Agah, Viswadeep Lebakula, Jeff Munk, Helia Zandi

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

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 languageEnglish
Title of host publication2023 IEEE PES Innovative Smart Grid Technologies Latin America, ISGT-LA 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages455-459
Number of pages5
ISBN (Electronic)9798350336962
DOIs
StatePublished - 2023
Event2023 IEEE PES Innovative Smart Grid Technologies Latin America, ISGT-LA 2023 - San Juan, United States
Duration: Nov 6 2023Nov 9 2023

Publication series

Name2023 IEEE PES Innovative Smart Grid Technologies Latin America, ISGT-LA 2023

Conference

Conference2023 IEEE PES Innovative Smart Grid Technologies Latin America, ISGT-LA 2023
Country/TerritoryUnited States
CitySan Juan
Period11/6/2311/9/23

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.

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

    Keywords

    • Demand response
    • direct load control
    • model predictive control
    • peak shifting
    • smart grid
    • water heater

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