TY - GEN

T1 - Mean-field control for energy efficient buildings

AU - Deng, Kun

AU - Barooah, Prabir

AU - Mehta, Prashant G.

PY - 2012

Y1 - 2012

N2 - In this paper, we consider the problem of distributed set-point temperature regulation in a large building. With a large number of zones, the problem becomes intractable with standard control approaches due to the large state space dimension of the dynamic model. To mitigate complexity, we develop here a mean-field control approach applicable to large-scale control problems in buildings. The mean-field here represents the net effect of the entire building envelope on any individual zone. Rather than solving the large-scale centralized problem, we explore distributed game-theoretic solution approaches that work by optimizing with respect to the mean-field. The methodology is illustrated with a numerical example in a simulation environment.

AB - In this paper, we consider the problem of distributed set-point temperature regulation in a large building. With a large number of zones, the problem becomes intractable with standard control approaches due to the large state space dimension of the dynamic model. To mitigate complexity, we develop here a mean-field control approach applicable to large-scale control problems in buildings. The mean-field here represents the net effect of the entire building envelope on any individual zone. Rather than solving the large-scale centralized problem, we explore distributed game-theoretic solution approaches that work by optimizing with respect to the mean-field. The methodology is illustrated with a numerical example in a simulation environment.

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M3 - Conference contribution

AN - SCOPUS:84869427574

SN - 9781457710957

T3 - Proceedings of the American Control Conference

SP - 3044

EP - 3049

BT - 2012 American Control Conference, ACC 2012

T2 - 2012 American Control Conference, ACC 2012

Y2 - 27 June 2012 through 29 June 2012

ER -