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.
UR - http://www.scopus.com/inward/record.url?scp=84869427574&partnerID=8YFLogxK
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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 -