Preprints
https://doi.org/10.5194/wes-2024-176
https://doi.org/10.5194/wes-2024-176
17 Jan 2025
 | 17 Jan 2025
Status: a revised version of this preprint was accepted for the journal WES and is expected to appear here in due course.

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.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this paper. While Copernicus Publications makes every effort to include appropriate place names, the final responsibility lies with the authors. Views expressed in the text are those of the authors and do not necessarily reflect the views of the publisher.
Share
Davide Medici, Arianna Tonna, and Antonio Segalini

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
Davide Medici, Arianna Tonna, and Antonio Segalini
Davide Medici, Arianna Tonna, and Antonio Segalini

Viewed

Total article views: 1,081 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
783 258 40 1,081 67 90
  • HTML: 783
  • PDF: 258
  • XML: 40
  • Total: 1,081
  • BibTeX: 67
  • EndNote: 90
Views and downloads (calculated since 17 Jan 2025)
Cumulative views and downloads (calculated since 17 Jan 2025)

Viewed (geographical distribution)

Total article views: 1,071 (including HTML, PDF, and XML) Thereof 1,071 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 28 Jan 2026
Download
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.
Share
Altmetrics