Institutional Repository
Technical University of Crete
Technical University of Crete
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| URI: | http://purl.tuc.gr/dl/dias/B1A705E7-BCE0-4F26-8C6D-3146C4AA4674 | ||
| Year | 2006 | ||
| Type of Item | Peer-Reviewed Journal Publication | ||
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| Bibliographic Citation | S.D. Kaminaris, T.D. Tsoutsos, D. Agoris, A.V. Machias ,"Assessing renewables-to-electricity systems: a fuzzy expert system model ",Ener. Poli.,vol. 34, no.12,pp. 1357–1366,Aug. 2006.doi :10.1016/j.enpol.2004.08.054 https://doi.org/10.1016/j.enpol.2004.08.054 | ||
| Appears in Collections |
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, an 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).
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