Occupant-Centric Demand Response for Thermostatically-Controlled Home Loads

Efficiently managing energy usage to balance supply and demand on the electric grid is crucial, especially with the widespread deployment of distributed variable renewable electricity generation. This paper introduces two duty-cycle control methods for heating systems, adjusting thermostat setpoints to limit and shift electricity demand. The control approaches employ innovative techniques, such as adaptive duty cycling, to prioritize household thermal comfort while reducing peak demand. These control methods can respond to signals from the electric grid, including demand targets and time-of-use tariffs, and were tested physically on an electric furnace and heat pump in a test home during winter conditions in 2021 and 2022. The results are given as average demand reductions and energy use impacts with respect to the average indoor-outdoor temperature difference during the control period. For heat pumps, demand limiting control reduced power by 18.5% and 23.3% for indoor-outdoor temperature differences of 30°F and 40°F. Preheating-based demand shifting achieved reductions of 34.8% and 33.2% for the same temperature differences. Electric furnace tests showed demand reductions of 33.8% and 25.3% for demand limiting, and 56.1% and 45.7% for preheating-based demand shifting. These findings highlight the potential for innovative control methods to enhance grid efficiency and reduce energy consumption.

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Publication Details

Journal
IEEE Transactions on Smart Grid
Published
2025-02-10
DOI
https://doi.org/10.1109/tsg.2025.3540427
Citations
5
Primary Topic
Building Energy and Comfort Optimization
Type
article
Field-Weighted Citation Impact
5.03
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article

Occupant-Centric Demand Response for Thermostatically-Controlled Home Loads

Roshan L. Kini, Austin Rogers, Michael R. Brambley, Alex Vlachokostas
5 citations
IEEE Transactions on Smart Grid
Building Energy and Comfort Optimization
5.03
article

Occupant-Centric Demand Response for Thermostatically-Controlled Home Loads

Roshan L. Kini, Austin Rogers, Michael R. Brambley, Alex Vlachokostas
article en
5 citations

Abstract

Efficiently managing energy usage to balance supply and demand on the electric grid is crucial, especially with the widespread deployment of distributed variable renewable electricity generation. This paper introduces two duty-cycle control methods for heating systems, adjusting thermostat setpoints to limit and shift electricity demand. The control approaches employ innovative techniques, such as adaptive duty cycling, to prioritize household thermal comfort while reducing peak demand. These control methods can respond to signals from the electric grid, including demand targets and time-of-use tariffs, and were tested physically on an electric furnace and heat pump in a test home during winter conditions in 2021 and 2022. The results are given as average demand reductions and energy use impacts with respect to the average indoor-outdoor temperature difference during the control period. For heat pumps, demand limiting control reduced power by 18.5% and 23.3% for indoor-outdoor temperature differences of 30°F and 40°F. Preheating-based demand shifting achieved reductions of 34.8% and 33.2% for the same temperature differences. Electric furnace tests showed demand reductions of 33.8% and 25.3% for demand limiting, and 56.1% and 45.7% for preheating-based demand shifting. These findings highlight the potential for innovative control methods to enhance grid efficiency and reduce energy consumption.

IEEE Transactions on Smart GridVol. 16(3)
Pacific Northwest National Laboratory (US), Cascade Engineering (United States) (US)
Climate action
Openalex Percentile: Top 6%
Building Energy and Comfort Optimization
5.03
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