Analysis and optimization of the performance of hybrid wind and solar energy systems under local climatic conditions

This thesis investigates the optimization of hybrid wind and solar energy systems under local climatic conditions in Greece. The main objective is to determine the optimal energy mix between wind turbines and photovoltaic (PV) systems to maximize energy efficiency and enhance reliability in meeting electricity demand. The analysis is based on both real and synthetic datasets of wind speed, solar radiation, and temperature, obtained from the NASA POWER database and local measurement stations. Four representative regions with diverse geo-climatic characteristics were selected: Astypalaia, Crete, Eubea, and Athens. For each location, synthetic power curves for wind turbines and PV systems were developed, considering critical parameters such as cut-in and cut-out wind speeds and the temperature coefficient of PV performance. Through scenarios of 10 MW installed capacity, the contribution of each technology to local energy demand coverage was assessed. The results highlight that the optimal wind–solar ratio varies depending on regional conditions: sunnier locations, such as Crete and Eubea, benefit primarily from solar energy, while areas with strong wind potential such as Astypalaia, show higher efficiency from wind turbines. In conclusion, the adoption of hybrid renewable systems tailored to local climatic conditions can significantly strengthen energy autonomy and sustainable development, especially for island and remote communities.