Department of Geology and Geoenviromment
Library of the School of Science

2024-12-20

2024

Gkika Aikaterini

Δρ. Λέκκας Ευθύμιος, Καθηγητής – ΕΚΠΑ (Επιβλέπων)
Δρ. Λόζιος Στυλιανός, Καθηγητής – ΕΚΠΑ
Δρ. Παρχαρίδης Ισαάκ, Καθηγητής – Χαροκόπειο Πανεπιστήμιο
Δρ. Βασιλάκης Εμμανουήλ, Αναπλ. Καθηγητής – ΕΚΠΑ
Δρ. Καρτάλης Κωνσταντίνος, Καθηγητής – ΕΚΠΑ
Δρ. Βαρουχάκης Εμμαβουήλ, Επικ. Καθηγητής – Πολυτεχνείο Κρήτης
Δρ. Διακάκης Εμμανουήλ, Επικ. Καθηγητής - ΕΚΠΑ

Μεθοδολογικό Πλαίσιο Υποστήριξης Λήψης Αποφάσεων για Ενίσχυση της Ανθεκτικότητας του Ελληνικού Δικτύου Διανομής Ηλεκτρικής Ενέργειας έναντι των Επιπτώσεων της Κλιματικής Αλλαγής μέσω Πολυκριτηριακής Ανάλυσης

Greek

Methodological Decision Support Framework for Enhancing the Resilience of the Hellenic Electricity Distribution Network against Climate Change Impacts through Multi-Criteria Analysis

Modern electric power systems are critical and extremely complex infrastructures that are designed to serve the reliable electricity supply of consumers under normal operating conditions and when common failures or expected disturbances occur. However, although these infrastructures have achieved high degrees of reliability (over 99.9%), they are not capable of effectively dealing with unpredictable extreme situations with low frequency rate but severe impacts, which are usually caused as a result of extreme weather events, such as floods, stormy winds - cyclones, heavy snowfalls, wildfires, etc. Such extreme events are becoming even more frequent in the recent years around the world, resulting in major disruptions to the electricity transmission and distribution networks and leading to unpredictable power outages that can last from a few hours up to several weeks. The scientific community also warns that their frequency and intensity are expected to increase even more at global level due to the Climate Change.
Despite the (so far) low probability of occurrence of such phenomena, their serious impact on electric power systems and their consequent financial costs make it essential to establish action frameworks and devise strategies for effectively managing Climate Change related risks, disasters and crises in order to ensure business continuity of the Electricity Network Operators as well as the uninterrupted power supply that will sufficiently cover demand through the reliable transmission and distribution of electricity from the power generation points to the end users (consumers). Therefore, timely, systematic and long-term planning is needed to improve the adaptability and resilience of the power grids, considering the implications and adverse effects of Climate Change, but without overstating the network development and operation cost.
The purpose of the present PhD thesis is to develop a holistic methodological framework to support decision-making with the aim of enhancing the resilience (adaptability) of the Hellenic Electricity Distribution Network against climatic hazards, which will allow the design and adoption of appropriate disaster risk management strategies, the promotion of risk knowledge, the reinforcement of preparedness for immediate and effective response, as well as the fast recovery following restoration. For this purpose, a well-recognized methodology is applied for analyzing the vulnerability of the Hellenic Electricity Distribution Network per climate hazard, resulting in the identification of the most vulnerable network areas (Climate Change Hotspots), as well as for assessing the climate risk in order to build a better understanding of the risk factors and support the decision-making process. The aforementioned framework can constitute a useful tool for the evaluation and prioritization of investments through multi-criteria analysis for the adaptation of the distribution network to Climate Change.

Science

Electric Power Distribution Network, Climate Change, Extreme Weather Events, Resilience, Adaptation to Climate Change, Disaster Risk Management, Climate Vulnerability Assessment, Climate Risk Assessment

Yes

24

Yes

522

712

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https://pergamos.lib.uoa.gr/uoa/dl/object/3447508