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Building optimization and control algorithms implemented in existing BEMS using a web based energy management and control system

Sotirios Papantoniou, Kolokotsa Dionysia, Kalaitzakis Konstantinos

Απλή Εγγραφή


URIhttp://purl.tuc.gr/dl/dias/BADB5B45-72BA-483A-8E81-AE54DD72F7D6-
Αναγνωριστικόhttps://doi.org/10.1016/j.enbuild.2014.10.083-
Γλώσσαen-
Μέγεθος10en
ΤίτλοςBuilding optimization and control algorithms implemented in existing BEMS using a web based energy management and control systemen
ΔημιουργόςSotirios Papantoniouen
ΔημιουργόςΠαπαντωνιου Σωτηριοςel
ΔημιουργόςKolokotsa Dionysiaen
ΔημιουργόςΚολοκοτσα Διονυσιαel
ΔημιουργόςKalaitzakis Konstantinosen
ΔημιουργόςΚαλαϊτζακης Κωνσταντινοςel
ΕκδότηςElsevieren
ΠεριγραφήΔημοσίευση σε επιστημονικό περιοδικόel
ΠερίληψηThe aim of the present paper is to analyze a building optimization and control (BOC) algorithm which is implemented in the existing building energy management system (BEMS) of the Saint George Hospital in Chania, Greece. The developed algorithm consists of predicted models for outdoor/indoor air temperature using artificial neural networks, multi-step optimization using genetic algorithms and Real Time control using fuzzy techniques. The algorithm is developed in Matlab™ environment and is implemented to the existing BEMS of the Hospital, using a specialized web-based energy management and control system (Web-EMCS). The implementation of the BOC algorithm is realized by developing a “.net assembly” code, which interconnects the Web-EMCS with the existing conventional hospital's BEMS, without the need of Matlab™. The annual primary energy efficiency achieved is almost 36%.en
ΤύποςPeer-Reviewed Journal Publicationen
ΤύποςΔημοσίευση σε Περιοδικό με Κριτέςel
Άδεια Χρήσηςhttp://creativecommons.org/licenses/by/4.0/en
Ημερομηνία2015-11-05-
Ημερομηνία Δημοσίευσης2015-
Θεματική ΚατηγορίαBuilding optimizationen
Θεματική ΚατηγορίαFuzzy controlen
Θεματική ΚατηγορίαNeural networksen
Βιβλιογραφική ΑναφοράS. Papantoniou, D. Kolokotsa, K. Kalaitzakis, "Building optimization and control algorithms implemented in existing BEMS using a web based energy management and control system," Energy and Buildings, vol. 98, pp. 45–55, Jul. 2015. doi: 10.1016/j.enbuild.2014.10.083en

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