Wind power potential in central aegean sea, Greece

dc.contributor.author	Φυρίππης, Ιωάννης	el
dc.contributor.author	Αξαόπουλος, Πέτρος Ι.	el
dc.contributor.author	Παναγιώτου, Γρηγόρης	el
dc.date.accessioned	2015-01-08T16:08:07Z
dc.date.available	2015-01-08T16:08:07Z
dc.date.issued	2015-01-08
dc.identifier.uri	http://hdl.handle.net/11400/3553
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://www.wseas.org	en
dc.subject	Wind speed
dc.subject	Aegean Sea
dc.subject	Ταχύτητα αέρα
dc.subject	Αιγαίο πέλαγος
dc.title	Wind power potential in central aegean sea, Greece	en
heal.type	conferenceItem
heal.classification	Mechanics
heal.classification	Renewable energy sources
heal.classification	Μηχανική
heal.classification	Ανανεώσιμες πηγές ενέργειας
heal.classificationURI	http://skos.um.es/unescothes/C02449
heal.classificationURI	http://skos.um.es/unescothes/C03348
heal.classificationURI	N/A-Μηχανική
heal.classificationURI	N/A-Ανανεώσιμες πηγές ενέργειας
heal.keywordURI	http://lod.nal.usda.gov/4651
heal.keywordURI	http://lod.nal.usda.gov/105769
heal.identifier.secondary	ISSN: 1790-5095
heal.identifier.secondary	ISBN: 978-960-474-015-4
heal.language	en
heal.access	free
heal.recordProvider	Τ.Ε.Ι. Αθήνας. Σχολή Τεχνολογικών Εφαρμογών. Τμήμα Μηχανικών Ενεργειακής Τεχνολογίας Τ.Ε.	el
heal.publicationDate	2008
heal.bibliographicCitation	Fyrippis, I., Axaopoulos, P. and Panayiotou, G. (2008). Wind power potential in central aegean sea, Greece. In the 2nd WSEAS/IASME International Conference on renewable energy sources. Corfu, 26th-28th October 2008. pp. 210-210.	en
heal.abstract	The current paper presents an investigation of the wind power potential of Koronos village, a remote location in the northeastern part of Naxos Island, Greece, using real data collected from a measurement mast. The obtained wind characteristics were statistically analyzed using the Weibull and Rayleigh distribution functions. The results from this investigation showed that the selected site falls under Class 7 of the international system of wind classification as the mean annual wind speed recorded in the area was 7.4 m/s and the corresponding annual mean power density was estimated to be 420 W/m2. Furthermore, the prevailing wind directions characterizing the area were the northeastern and the north-northeastern. From the statistical analysis of these results, it was revealed that the Weibull model fitted the actual data better. This remark was further enhanced by the evaluation of the performance of these two distributions.	en
heal.publisher	[χ.ό.]	el
heal.fullTextAvailability	true
heal.conferenceName	WSEAS/IASME International Conference on renewable energy sources	en
heal.conferenceItemType	poster