Energy control algorithms for HVAC systems

dc.contributor.author	Σκλαβούνος, Δημήτρης	el
dc.contributor.author	Ζέρβας, Ευάγγελος	el
dc.contributor.author	Τσακιρίδης, Οδυσσέας	el
dc.contributor.author	Stonham, John T.	en
dc.date.accessioned	2015-05-23T10:33:27Z
dc.date.issued	2015-05-23
dc.identifier.uri	http://hdl.handle.net/11400/10956
dc.rights	Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.source	http://ieeexplore.ieee.org/	en
dc.subject	Algorithms
dc.subject	Energy control
dc.subject	HVAC
dc.subject	WSN
dc.subject	αλγόριθμοι
dc.subject	έλεγχος ενέργειας
dc.title	Energy control algorithms for HVAC systems	en
heal.type	conferenceItem
heal.classification	Technology
heal.classification	Electrical engineering
heal.classification	Τεχνολογία
heal.classification	Ηλεκτρολογία Μηχανολογία
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh85133147
heal.classificationURI	http://zbw.eu/stw/descriptor/18426-4
heal.classificationURI	N/A-Τεχνολογία
heal.classificationURI	N/A-Ηλεκτρολογία Μηχανολογία
heal.identifier.secondary	DOI: 10.1109/ENERGYCON.2014.6850583
heal.dateAvailable	10000-01-01
heal.language	en
heal.access	forever
heal.publicationDate	2014
heal.bibliographicCitation	Sklavounos, D., Zervas, E., Tsakiridis, O. & Stonham, J.T. (2014) Energy control algorithms for HVAC systems, In: Proceedings of the IEEE International Energy Conference, ENERGYCON 2014. Dubrovnik, Croatia. 13-16 May, 2014. [online]. p. 1249-1254, 6850583. Available from: http://ieeexplore.ieee.org/	en
heal.abstract	HVAC control strategies are proposed that exploit the existence of a Wireless Sensor Network (WSN) capable to distribute temperature and zone occupancy information, in an effort to reduce energy consumption while in the meantime preserving the comfort condition of the occupants. Two of the proposed techniques, namely the '1-hop' and the '2-hop' algorithm, utilize minimum occupancy information in the form of binary decisions (occupied zone or not) whereas a third one, namely the 'adaptive' technique, requires an additional parameter that is the expected residence time of the occupants for each zone. The algorithms are contrasted with a 'full-proactive' and a 'full-reactive' scheme in terms of energy consumption reduction and occupants' comfort condition, using simulations of a nine-zone building.	en
heal.publisher	IEEE	en
heal.fullTextAvailability	false
heal.conferenceName	IEEE International Energy Conference, ENERGYCON 2014	en
heal.conferenceItemType	poster