Combined MCDA-IP Approach for Project Selection in the Electricity Market

Mavrotas, G; Diakoulaki, D; Capros, P

dc.contributor.author	Mavrotas, G	en
dc.contributor.author	Diakoulaki, D	en
dc.contributor.author	Capros, P	en
dc.date.accessioned	2014-03-01T01:18:46Z
dc.date.available	2014-03-01T01:18:46Z
dc.date.issued	2003	en
dc.identifier.issn	0254-5330	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/15186
dc.subject	ELECTRE-TRI	en
dc.subject	Fractional programming	en
dc.subject	Integer programming	en
dc.subject	Multiple criteria	en
dc.subject	Project selection	en
dc.subject.classification	Operations Research & Management Science	en
dc.subject.other	IMPLEMENTATION	en
dc.subject.other	SYSTEMS	en
dc.title	Combined MCDA-IP Approach for Project Selection in the Electricity Market	en
heal.type	journalArticle	en
heal.identifier.primary	10.1023/A:1023382514182	en
heal.identifier.secondary	http://dx.doi.org/10.1023/A:1023382514182	en
heal.language	English	en
heal.publicationDate	2003	en
heal.abstract	The European policy target of substantially increasing the share of renewable energy in electricity generation, in combination with national subsidization support schemes, has strongly motivated private investors towards this business sector. In Greece, this interest is particularly apparent in the case of wind energy exploitation, due to a favourable legislative framework and the important wind potential available in several Greek regions. In such endowed regions, a very high number of applications were submitted to the competent authority, most of which compete for the same most attractive (windy) sites. The selection among these applications is a multicriteria problem that has been solved with the support of a Decision-Aid tool combining the multicriteria classification method ELECTRE-TRI with Integer Linear Programming. The developed approach takes into account both, the performances of the applications to the evaluation criteria, as well as a number of technical and policy constraints.	en
heal.publisher	KLUWER ACADEMIC PUBL	en
heal.journalName	Annals of Operations Research	en
dc.identifier.doi	10.1023/A:1023382514182	en
dc.identifier.isi	ISI:000182166600009	en
dc.identifier.volume	120	en
dc.identifier.issue	1-4	en
dc.identifier.spage	159	en
dc.identifier.epage	170	en