Abstract
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.
Original language | English (US) |
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Title of host publication | 2012 American Control Conference, ACC 2012 |
Pages | 3044-3049 |
Number of pages | 6 |
State | Published - 2012 |
Event | 2012 American Control Conference, ACC 2012 - Montreal, QC, Canada Duration: Jun 27 2012 → Jun 29 2012 |
Other
Other | 2012 American Control Conference, ACC 2012 |
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Country/Territory | Canada |
City | Montreal, QC |
Period | 6/27/12 → 6/29/12 |
ASJC Scopus subject areas
- Electrical and Electronic Engineering