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Intelligent BEMS design using detailed thermal simulation models and surrogate-based stochastic optimization

Rovas Dimitrios, Kontes Georgios, G. I. Giannakis, Katsigarakis Kyriakos, Cesar Valmaseda

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URIhttp://purl.tuc.gr/dl/dias/A509EAF7-0786-49C4-8937-32C80CECC910-
Αναγνωριστικόhttps://doi.org/10.1016/j.jprocont.2014.04.003-
Γλώσσαen-
Μέγεθος10 pagesen
ΤίτλοςIntelligent BEMS design using detailed thermal simulation models and surrogate-based stochastic optimizationen
ΔημιουργόςRovas Dimitriosen
ΔημιουργόςΡοβας Δημητριοςel
ΔημιουργόςKontes Georgiosen
ΔημιουργόςΚοντες Γεωργιοςel
ΔημιουργόςG. I. Giannakisen
ΔημιουργόςKatsigarakis Kyriakosen
ΔημιουργόςΚατσιγαρακης Κυριακοςel
Δημιουργός Cesar Valmasedaen
ΕκδότηςElsevieren
ΠερίληψηThe topic of optimized building operation has attracted considerable interest in the research community: in this context model-based supervisory control design approaches have been shown to yield effective/optimized operation with regards to energy performance or other related operational parameters. A hindrance towards the adoption of such methodologies is the need for a mathematical model tailored to each building which is capable of capturing all pertinent dynamics. Developing and tuning such a model can be a time-consuming and costly proposition, and is the main reason why such approaches have found little applicability beyond the research space. The utilization of models constructed in the building design phases – for the reason of estimating energy performance – properly adapted for the task at hand can be a viable methodology to overcome this problem. We present in this paper, an online process where a stochastic optimization algorithm utilizing a detailed thermal simulation model of the building along with historical sensor measurements and weather and occupancy forecasts, is used to design effective control strategies for a predefined period. A detailed description of the methodology is provided and the proposed approach is evaluated on a heating experiment conducted in a real building located in Greece.en
ΤύποςPeer-Reviewed Journal Publicationen
ΤύποςΔημοσίευση σε Περιοδικό με Κριτέςel
Άδεια Χρήσηςhttp://creativecommons.org/licenses/by/4.0/en
Ημερομηνία2015-10-17-
Ημερομηνία Δημοσίευσης2014-
Θεματική Κατηγορία Energy efficient buildingen
Βιβλιογραφική ΑναφοράG.D Kontes, C. Valmaseda, G.I Giannakis, K.I Katsigarakis, D.V Rovas ," Intelligent BEMS design using detailed thermal simulation models and surrogate-based stochastic optimization," J. of Proc. Control,vol. 24,no. 6, pp. 846-855,2014. doi:10.1016/j.jprocont.2014.04.003en

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