On the effect of spatial dispersion of wind power plants on the wind energy capacity credit in Greece

Caralis, G; Perivolaris, Y; Rados, K; Zervos, A

dc.contributor.author	Caralis, G	en
dc.contributor.author	Perivolaris, Y	en
dc.contributor.author	Rados, K	en
dc.contributor.author	Zervos, A	en
dc.date.accessioned	2014-03-01T01:57:34Z
dc.date.available	2014-03-01T01:57:34Z
dc.date.issued	2008	en
dc.identifier.issn	1748-9326	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/28432
dc.subject	wind power	en
dc.subject	capacity credit	en
dc.subject	spatial dispersion	en
dc.subject.classification	Environmental Sciences	en
dc.subject.classification	Meteorology & Atmospheric Sciences	en
dc.title	On the effect of spatial dispersion of wind power plants on the wind energy capacity credit in Greece	en
heal.type	journalArticle	en
heal.identifier.secondary	015003	en
heal.language	English	en
heal.publicationDate	2008	en
heal.abstract	Wind energy is now a mature technology and can be considered as a significant contributor in reducing CO2 emissions and protecting the environment. To meet the wind energy national targets, effective implementation of massive wind power installed capacity in the power supply system is required. Additionally, capacity credit is an important issue for an unstable power supply system as in Greece. To achieve high and reliable wind energy penetration levels into the system, the effect of spatial dispersion of wind energy installations within a very wide area ( e. g. national level) on the power capacity credit should be accounted for. In the present paper, a methodology for estimating the effect of spatial dispersion of wind farm installations on the capacity credit is presented and applied for the power supply system of Greece. The method is based on probability theory and makes use of wind forecasting models to represent the wind energy potential over any candidate area for future wind farm installations in the country. Representative wind power development scenarios are studied and evaluated. Results show that the spatial dispersion of wind power plants contributes beneficially to the wind capacity credit.	en
heal.publisher	IOP PUBLISHING LTD	en
heal.journalName	ENVIRONMENTAL RESEARCH LETTERS	en
dc.identifier.isi	ISI:000253653200008	en
dc.identifier.volume	3	en
dc.identifier.issue	1	en