TY - GEN
T1 - An Optimal Control Approach to Nudging via Default Setting in the Context of Indoor Thermal Comfort
AU - Cheng, Yijie
AU - Langbort, Cedric
N1 - Publisher Copyright:
© 2020 AACC.
PY - 2020/7
Y1 - 2020/7
N2 - We consider an indoor thermal comfort problem in a controlled environment where daily default temperature of the building can be manipulated by a building manager. Such manipulations can be managed strategically in a way consistent with a nudge design so as to change the thermal habit of the building occupants. In this paper, a linear system is used to incorporate the process of manipulation and habituation. We show that the proposed model can capture choice behaviors observed in the existing literatures. Treating the building default temperature as a control input, we then formulate an optimal control problem whose solution is obtained via dynamic programming. We demonstrate that a carefully designed profile of default temperature can not only change the thermal habit in a desired way, but also lead to a reduction in the building energy consumption.
AB - We consider an indoor thermal comfort problem in a controlled environment where daily default temperature of the building can be manipulated by a building manager. Such manipulations can be managed strategically in a way consistent with a nudge design so as to change the thermal habit of the building occupants. In this paper, a linear system is used to incorporate the process of manipulation and habituation. We show that the proposed model can capture choice behaviors observed in the existing literatures. Treating the building default temperature as a control input, we then formulate an optimal control problem whose solution is obtained via dynamic programming. We demonstrate that a carefully designed profile of default temperature can not only change the thermal habit in a desired way, but also lead to a reduction in the building energy consumption.
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U2 - 10.23919/ACC45564.2020.9147263
DO - 10.23919/ACC45564.2020.9147263
M3 - Conference contribution
AN - SCOPUS:85089601389
T3 - Proceedings of the American Control Conference
SP - 4963
EP - 4968
BT - 2020 American Control Conference, ACC 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 American Control Conference, ACC 2020
Y2 - 1 July 2020 through 3 July 2020
ER -