Optimal partitioning of multi-thermal zone buildings for decentralized control

In this paper, we develop an optimization-based systematic approach for the challenging, less studied, and important problem of optimal partitioning of multi-thermal zone buildings for the decentralized control. The proposed method consists of (i) construction of a graph-based network to quantitativ...

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Bibliographic Details
Published inarXiv.org
Main Authors Atam, E, Kerrigan, E C
Format Paper
LanguageEnglish
Published Ithaca Cornell University Library, arXiv.org 11.06.2020
Subjects
Buildings
Clustering
Decentralized control
Optimization
Partitioning
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Summary:In this paper, we develop an optimization-based systematic approach for the challenging, less studied, and important problem of optimal partitioning of multi-thermal zone buildings for the decentralized control. The proposed method consists of (i) construction of a graph-based network to quantitatively characterize the thermal interaction level between neighbor zones, and (ii) the application of two different approaches for optimal clustering of the resulting network graph: stochastic optimization and robust optimization. The proposed method was tested on two case studies: a 5-zone building (a small-scale example) which allows one to consider all possible partitions to assess the success rate of the developed method; and a 20-zone building (a large-scale example) for which the developed method was used to predict the optimal partitioning of the thermal zones. Compared to the existing literature, our approach provides a systematic and potentially optimal solution for the considered problem.
ISSN:2331-8422