Assessing renewables-to-electricity systems: A fuzzy expert system model

Kaminaris, SD; Tsoutsos, TD; Agoris, D; Machias, AV

dc.contributor.author	Kaminaris, SD	en
dc.contributor.author	Tsoutsos, TD	en
dc.contributor.author	Agoris, D	en
dc.contributor.author	Machias, AV	en
dc.date.accessioned	2014-03-01T01:23:39Z
dc.date.available	2014-03-01T01:23:39Z
dc.date.issued	2006	en
dc.identifier.issn	0301-4215	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/17062
dc.subject	Expert systems	en
dc.subject	Fuzzy logic	en
dc.subject	Fuzzy sets theory	en
dc.subject	Life cycle analysis	en
dc.subject	Renewable energy	en
dc.subject	Renewable energy sources-to-electricity systems assessment	en
dc.subject.classification	Energy & Fuels	en
dc.subject.classification	Environmental Sciences	en
dc.subject.classification	Environmental Studies	en
dc.subject.other	Decision support systems	en
dc.subject.other	Expert systems	en
dc.subject.other	Fuzzy sets	en
dc.subject.other	Knowledge representation	en
dc.subject.other	Life cycle	en
dc.subject.other	Fuzzy expert system model	en
dc.subject.other	Life cycle analysis	en
dc.subject.other	Renewable energy resources	en
dc.subject.other	electricity generation	en
dc.subject.other	fuzzy mathematics	en
dc.subject.other	modeling	en
dc.subject.other	renewable resource	en
dc.title	Assessing renewables-to-electricity systems: A fuzzy expert system model	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/j.enpol.2004.08.054	en
heal.identifier.secondary	http://dx.doi.org/10.1016/j.enpol.2004.08.054	en
heal.language	English	en
heal.publicationDate	2006	en
heal.abstract	The assessment of Renewables-to-Electricity Systems is a complex, time-consuming task and requires skilled, experienced engineers. This paper describes the on-going research effort that takes place in the development of a new Intelligent Approach, all efficient decision making tool in this problem based on the employment of the Expert Systems and Fuzzy Logic techniques. As far as expert knowledge representation is concerned, the proposed approach is based on Expert System techniques (rule-based methodology). Moreover, trying to assess a Renewables-to-Electricity project or several alternative ones, the analysis has to face, in general, a series of uncertainties. To handle effectively these uncertainties, a new methodology is proposed (by use of Fuzzy Sets Theory and Fuzzy Logic Techniques). The proposed Fuzzy Project Priority Index for each Renewables-to-Electricity System is very useful especially in decision-makers. In order to demonstrate the proposed intelligent fuzzy analysis-based approach a simple case study is provided, supposing that a legal entity is to assess and finally select/propose an electricity production system, which uses RES (wind energy OR solar energy to photovoltaic OR small hydro). As fuzzy variables are concerned the Life Cycle Analysis (versus equipment production, plant preparation, operation and decommissioning) and the Development Cost (versus firm capabilities, spillover effects and potential downside damage). (c) 2004 Elsevier Ltd. All rights reserved.	en
heal.publisher	ELSEVIER SCI LTD	en
heal.journalName	Energy Policy	en
dc.identifier.doi	10.1016/j.enpol.2004.08.054	en
dc.identifier.isi	ISI:000236691800005	en
dc.identifier.volume	34	en
dc.identifier.issue	12	en
dc.identifier.spage	1357	en
dc.identifier.epage	1366	en