URI | http://purl.tuc.gr/dl/dias/BADB5B45-72BA-483A-8E81-AE54DD72F7D6 | - |
Αναγνωριστικό | https://doi.org/10.1016/j.enbuild.2014.10.083 | - |
Γλώσσα | en | - |
Μέγεθος | 10 | en |
Τίτλος | Building optimization and control algorithms implemented in existing BEMS using a web based energy management and control system | en |
Δημιουργός | Sotirios Papantoniou | en |
Δημιουργός | Παπαντωνιου Σωτηριος | el |
Δημιουργός | Kolokotsa Dionysia | en |
Δημιουργός | Κολοκοτσα Διονυσια | el |
Δημιουργός | Kalaitzakis Konstantinos | en |
Δημιουργός | Καλαϊτζακης Κωνσταντινος | el |
Εκδότης | Elsevier | en |
Περιγραφή | Δημοσίευση σε επιστημονικό περιοδικό | el |
Περίληψη | The 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 |
Τύπος | Peer-Reviewed Journal Publication | en |
Τύπος | Δημοσίευση σε Περιοδικό με Κριτές | el |
Άδεια Χρήσης | http://creativecommons.org/licenses/by/4.0/ | en |
Ημερομηνία | 2015-11-05 | - |
Ημερομηνία Δημοσίευσης | 2015 | - |
Θεματική Κατηγορία | Building optimization | en |
Θεματική Κατηγορία | Fuzzy control | en |
Θεματική Κατηγορία | Neural networks | en |
Βιβλιογραφική Αναφορά | S. 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.2014.10.083 | en |