TY - GEN
T1 - Structural Differences between Morning and Evening Peak in Optimized Water Heaters
AU - Tsybina, Eve
AU - Lebakula, Viswadeep
AU - Hill, Justin
AU - Munk, Jeff
AU - Zandi, Helia
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Peak reduction is an important concern that can help reduce the growing stress on distribution grids and allow to defer investments in new capacity. Water heaters represent a convenient way of reducing peak, depending on controllability of devices. But while controlling water heaters does allow to shift peak, it also results in rebound effects, which require additional understanding before water heater fleets can be used on a large scale. We attempt to investigate the nature of peak behaviors of water heaters and demonstrate that water heaters are not homogenous in their behavior. Depending on the overall intensity of the use of water, part of the population has higher rebound effect, while part of the population has little or no rebound effect. Even though we do not have sufficient data to statistically evaluate our findings, we use a sample of 42 water heaters in a connected neighborhood to provide an early attempt at discovering and reporting this diversity.
AB - Peak reduction is an important concern that can help reduce the growing stress on distribution grids and allow to defer investments in new capacity. Water heaters represent a convenient way of reducing peak, depending on controllability of devices. But while controlling water heaters does allow to shift peak, it also results in rebound effects, which require additional understanding before water heater fleets can be used on a large scale. We attempt to investigate the nature of peak behaviors of water heaters and demonstrate that water heaters are not homogenous in their behavior. Depending on the overall intensity of the use of water, part of the population has higher rebound effect, while part of the population has little or no rebound effect. Even though we do not have sufficient data to statistically evaluate our findings, we use a sample of 42 water heaters in a connected neighborhood to provide an early attempt at discovering and reporting this diversity.
KW - Demand response
KW - peak shifting
KW - smart grid
KW - water heater
UR - http://www.scopus.com/inward/record.url?scp=85187788029&partnerID=8YFLogxK
U2 - 10.1109/ISGT59692.2024.10454236
DO - 10.1109/ISGT59692.2024.10454236
M3 - Conference contribution
AN - SCOPUS:85187788029
T3 - 2024 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2024
BT - 2024 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2024 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2024
Y2 - 19 February 2024 through 22 February 2024
ER -