Preprints
https://doi.org/10.5194/wes-2024-176
https://doi.org/10.5194/wes-2024-176
17 Jan 2025
 | 17 Jan 2025
Status: this preprint is currently under review for the journal WES.

Exploring future production scenarios for the Italian offshore wind power

Davide Medici, Arianna Tonna, and Antonio Segalini

Abstract. This study explores the potential of offshore wind energy in Italy by considering the planned offshore wind farms, their construction challenges, possible wake losses and production based on historical data (by using ERA5 and CERRA dataset). An IEA 15 MW wind turbine was considered for all locations since the turbine models have not yet been decided in the preliminary plans. A genetic algorithm was used to identify a tentative optimal layout able to maximise the minimum intra-turbine distance without considering the local climatology. By means of Monte Carlo simulations, future energy scenarios are assessed considering factors such as technical challenges, wind patterns, turbine characteristics, and array efficiency due to wake effects, offering valuable insights into the feasibility of the planned offshore wind energy in Italy or in other countries with similar wind resources.

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Davide Medici, Arianna Tonna, and Antonio Segalini

Status: open (until 14 Feb 2025)

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Davide Medici, Arianna Tonna, and Antonio Segalini
Davide Medici, Arianna Tonna, and Antonio Segalini
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Latest update: 17 Jan 2025
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Short summary
Starting from existing offshore projects in the Mediterranean Sea, we utilized the CERRA dataset to analyze historical wind data and applied a genetic algorithm to propose a preliminary layout for a large number of farms. A significant part of our study involves the use of Monte Carlo simulations to project future energy scenarios. These simulations consider various factors, including technical challenges, wind patterns, turbine characteristics, and array efficiency affected by wake effects.
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