Institutional Repository
Technical University of Crete
Technical University of Crete
EN
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EL
| URI | http://purl.tuc.gr/dl/dias/5EC34156-E59F-4B83-B18C-3704A82E2849 | - |
| Identifier | https://doi.org/10.26233/heallink.tuc.78731 | - |
| Language | en | - |
| Extent | 100 pages | el |
| Title | Stochastic life cycle assessment and cost analysis in renewable energy systems | en |
| Creator | Milousi Maria | en |
| Creator | Μιλουση Μαρια | el |
| Contributor [Thesis Supervisor] | Daras Tryfonas | en |
| Contributor [Thesis Supervisor] | Δαρας Τρυφωνας | el |
| Contributor [Committee Member] | Zopounidis Konstantinos | en |
| Contributor [Committee Member] | Ζοπουνιδης Κωνσταντινος | el |
| Contributor [Committee Member] | Doumpos Michael | en |
| Contributor [Committee Member] | Δουμπος Μιχαηλ | el |
| Publisher | Πολυτεχνείο Κρήτης | el |
| Publisher | Technical University of Crete | en |
| Academic Unit | Technical University of Crete::School of Production Engineering and Management | en |
| Academic Unit | Πολυτεχνείο Κρήτης::Σχολή Μηχανικών Παραγωγής και Διοίκησης | el |
| Description | Μεταπτυχιακή Διατριβή που υποβλήθηκε στη σχολή ΜΠΔ του Πολυτεχνείου Κρήτης για την πλήρωση προϋποθέσεων λήψης Μεταπτυχιακού Διπλώματος Ειδίκευσης | el |
| Content Summary | Life Cycle Assessment (LCA) is a systematic, analytical process for assessing the environmental implications of systems or products, from raw material extraction (or “cradle”) through manufacture, use, and end of life (the “grave”). Though it is clear that LCA results are subject to many sources of uncertainty, it is also important to know to what extent the outcome of such an analysis is affected by various types of uncertainty (such as parameter, scenario and model uncertainty) and may occur in the goal and scope definition, the inventory analysis and the impact assessment of an LCA. Proper evaluation of the inherent uncertainties provides useful information for the reliability of LCA-based decisions and a necessary guide for future minimization of inaccuracies. The selection of a proper technique is largely based on the type and extent of details required by the specific case-study (i.e. sensitivity analysis, Monte Carlo simulation, Markov chain, Multiple linear regression, Fuzzy set theory and fuzzy logic, etc.). There have been several attempts to spot and highlight various statistical-stochastic uncertainties in LCA, as they are increasingly affecting the relevant methodologies, databases and software. The thesis contains a detailed LCA and techno-economic study of selected Renewable Energy Systems: geothermal power plants, photovoltaics (thin-film and crystalline) and solar thermal collectors (flat plate and vacuum tube). The advanced software SimaPro accompanied with the updated ecoinvent database have been used for the implementation of the LCA case studies, while all technical and economic calculations have been performed through RETSCreen. | el |
| Type of Item | Μεταπτυχιακή Διατριβή | el |
| Type of Item | Master Thesis | en |
| License | http://creativecommons.org/licenses/by-nc-nd/4.0/ | en |
| Date of Item | 2018-09-13 | - |
| Date of Publication | 2018 | - |
| Subject | Renewable energy sources | en |
| Subject | Renewable energy systems | en |
| Subject | Ανανεώσιμες πηγές ενέργειας | el |
| Subject | Ανάλυση κύκλου ζωής | el |
| Subject | Life cycle assessment | en |
| Bibliographic Citation | Maria Milousi, "Stochastic life cycle assessment and cost analysis in renewable energy systems", Master Thesis, School of Production Engineering and Management, Technical University of Crete, Chania, Greece, 2018 | en |
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