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Simulating Extreme Etesians over the Aegean and Implications for Wind Energy Production in Southeastern Europe
Simulating Extreme Etesians over the Aegean and Implications for Wind Energy Production in Southeastern Europe
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Simulating Extreme Etesians over the Aegean and Implications for Wind Energy Production in Southeastern Europe
Simulating Extreme Etesians over the Aegean and Implications for Wind Energy Production in Southeastern Europe

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Simulating Extreme Etesians over the Aegean and Implications for Wind Energy Production in Southeastern Europe
Simulating Extreme Etesians over the Aegean and Implications for Wind Energy Production in Southeastern Europe
Journal Article

Simulating Extreme Etesians over the Aegean and Implications for Wind Energy Production in Southeastern Europe

2018
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Overview
Episodes of extremely strong northerly winds (known as etesians) during boreal summer can cause hazardous conditions over the Aegean Archipelago (Greece) and represent a threat for the safe design, construction, and operation of wind energy turbines. Here, these extremes are characterized by employing a peak-over-threshold approach in the extended summer season (May–September) from 1989 to 2008. Twelve meteorological stations in the Aegean are used, and results are compared with 6-hourly wind speed data from five ERA-Interim–driven regional climate model (RCM) simulations from the European domain of the Coordinated Regional Climate Downscaling Experiment (EURO-CORDEX). The main findings show that, in the range of wind speeds for the maximum power output of the turbine, the most etesian-exposed stations could operate 90% at a hub height of 80 m. The central and northern Aegean are identified as areas prone to wind hazards, where medium- to high-wind (class II or I according to the International Electrotechnical Committee standards) wind turbines could be more suitable. In the central Aegean, turbines with a cutout wind speed > 25 m s−1 are recommended. Overall, RCMs can be considered a valuable tool for investigating wind resources at regional scale. Therefore, this study encourages a broader use of climate models for the assessment of future wind energy potential over the Aegean.