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

Conference ·
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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%.

Research Organization:
National Renewable Energy Laboratory (NREL), Golden, CO (United States)
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Energy Efficiency Office. Building Technologies Office
DOE Contract Number:
AC36-08GO28308
OSTI ID:
2281818
Report Number(s):
NREL/CP-5600-88572; MainId:89351; UUID:d0540f96-4247-4a60-aed4-d8e6d8da4346; MainAdminID:71566
Resource Relation:
Conference: Presented at the 2023 IEEE PES Innovative Smart Grid Technologies Latin America (ISGT-LA), 6-9 November 2023, San Juan, Puerto Rico
Country of Publication:
United States
Language:
English

References (7)

Decoupled building-to-transmission-network for frequency support in PV systems dominated grid journal November 2021
Evaluating synergistic effect of optimally controlling commercial building thermal mass portfolios journal May 2015
A basic load following control strategy in a direct load control program conference October 2015
Aggregate Load Forecast with Payback Model of the Electric Water Heaters for a Direct Load Control Program conference November 2014
Building-to-grid predictive power flow control for demand response and demand flexibility programs journal October 2017
Identification and Estimation for Electric Water Heaters in Direct Load Control Programs journal January 2015
Real-Time MPC for Residential Building Water Heater Systems to Support the Electric Grid conference February 2020

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Related Subjects

ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION
demand response
direct load control
model predictive control
peak shifting
smart grid
water heater