Institutional Repository
Technical University of Crete
Technical University of Crete
EN
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EL
| URI | http://purl.tuc.gr/dl/dias/72C550CF-CBED-460D-B784-E043BCF86958 | - |
| Identifier | https://doi.org/10.26233/heallink.tuc.104177 | - |
| Language | en | - |
| Extent | 211 pages | en |
| Title | A decision-making and planning optimization framework for implementing Hybrid Renewable Energy Systems in Mediterranean isles | en |
| Title | Πλαίσιο λήψης αποφάσεων και βελτιστοποίησης σχεδιασμού για την διαστασιολόγηση υβριδικών συστημάτων ανανεώσιμων πηγών ενέργειας σε νησιά της Μεσογείου | el |
| Creator | Sifakis Nikolaos | en |
| Creator | Σηφακης Νικολαος | el |
| Contributor [Thesis Supervisor] | Zopounidis Konstantinos | en |
| Contributor [Thesis Supervisor] | Ζοπουνιδης Κωνσταντινος | el |
| Contributor [Committee Member] | Doumpos Michail | en |
| Contributor [Committee Member] | Δουμπος Μιχαηλ | el |
| Contributor [Committee Member] | Kontogiannis Thomas | en |
| Contributor [Committee Member] | Κοντογιαννης Θωμας | 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 |
| Content Summary | This thesis presents an integrated, AI-enhanced decision-making and planning optimization framework for the deployment of Hybrid Renewable Energy Systems (HRES) in Mediterranean insular contexts. It addresses the multidimensional challenge of transitioning non-interconnected or partially interconnected island grids toward energy autonomy, economic viability, and deep decarbonization. The work introduces a robust methodology that combines energy demand profiling, stakeholder-informed decision criteria, and AI-driven weight extraction using Random Forest regression, SHAP values, and the CRITIC method. The framework simulates and evaluates 14 distinct system configurations, integrating photovoltaic (PV), wind, tidal, and wave resources with energy storage solutions, via a custom Genetic Algorithm (GA) model. The GA incorporates a novel adaptive mutation and restart mechanism to escape local optima, yielding convergence-optimized solutions tailored to real insular constraints. Scenario ranking is performed using a multi-criteria decision-making approach based on the TOPSIS method, informed by AI-extracted criteria weights. Comparative analysis of weighting strategies reveals consistent identification of the most suitable configuration, validating the robustness of the proposed approach. The model is designed to be modular, adaptable to diverse island conditions, and fully transparent in its evaluation of trade-offs across economic, environmental, social, political, and technical dimensions. Validation is achieved through a case study on Crete, incorporating stakeholder feedback, dynamic load patterns, and renewable potential data. The resulting framework demonstrates its capacity to inform sustainable energy planning with scientific rigor and operational relevance. Lastly, this research contributes to filling a documented gap in HRES optimization literature, namely the absence of integrated, data-driven, stakeholder-informed MCDM models tailored to the insular energy context. The proposed framework advances methodological practices for sustainable energy transition planning and provides a replicable tool for decision-makers engaged in island greenification and resilience strategies. | en |
| 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 | 2025-07-24 | - |
| Date of Publication | 2025 | - |
| Subject | Hybrid Renewable Energy Systems | en |
| Subject | Sustainability in Islands | en |
| Subject | Multi-Objective Optimisation | en |
| Subject | AI-enhanced Multi-Criteria Decision Making | en |
| Bibliographic Citation | Nikolaos Sifakis, "A decision-making and planning optimization framework for implementing Hybrid Renewable Energy Systems in Mediterranean isles", Master Thesis, School of Production Engineering and Management, Technical University of Crete, Chania, Greece, 2025 | en |
| Bibliographic Citation | Νικόλαος Σηφάκης, "Πλαίσιο λήψης αποφάσεων και βελτιστοποίησης σχεδιασμού για την διαστασιολόγηση υβριδικών συστημάτων ανανεώσιμων πηγών ενέργειας σε νησιά της Μεσογείου", Μεταπτυχιακή Διατριβή, Σχολή Μηχανικών Παραγωγής και Διοίκησης, Πολυτεχνείο Κρήτης, Χανιά, Ελλάς, 2025 | el |
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