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Distributed model predictive control for building temperature regulation

Abstract : This paper presents a predictive control structure for thermal regulation in buildings. The proposed method considers a dynamic cost function trying to exploit the intermittently operating mode of almost all types of buildings. One of the key idea is to use the knowledge about the occupation profile. For that purpose, the predictive control strategy is first presented for a single zone building then extended to a multizone building example. Two opposite control strategies commonly exists. The decentralized control structure, which does not offer good performances especially when the thermal coupling among adjacent rooms is not negligible, and on the other hand, the centralized control for which the computational demand grows exponentially with the size of the system, being very expensive for large scale buildings. Our solution is based on a distributed approach which takes the advantages of the both methods mentioned above. A distributed MPC algorithm with one information exchange per time step is proposed with good control performances and low computational requirements.
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Conference papers
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https://hal-supelec.archives-ouvertes.fr/hal-00492619
Contributor : Myriam Andrieux <>
Submitted on : Wednesday, June 16, 2010 - 3:16:36 PM
Last modification on : Monday, October 5, 2020 - 9:50:12 AM

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  • HAL Id : hal-00492619, version 1

Citation

Daniel-Petru Morosan, Romain Bourdais, Didier Dumur, Jean Buisson. Distributed model predictive control for building temperature regulation. American Control Conference 2010, Jun 2010, Baltimore, United States. CD-ROM, 6 p., 3174-3179. ⟨hal-00492619⟩

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