Offshore wind turbines are subject not only to varying wind conditions during their lifetime, but also sea conditions. Therefore, in addition to wind speed, other sea-related quantities need to be considered to characterize a specific installation site. International standards suggest that, at a minimum, significant wave height, peak spectral period and wind/wave misalignment must be considered. In order to have a statistically significant description of the potential installation site, the long-term distributions of the three environmental variables must be determined. In this context, the objectives of the present work are twofold: firstly, to demonstrate the procedure trough which environmental conditions including wind and wave information can be derived using open-source tools. Secondly, an exemplary dataset is provided. The dataset is used both do demonstrate the procedure and provided as a ready-made example for use in future studies. The provided dataset is used in the EU-funded Horizon 2020 project FLOATECH.

Derivation of Met-Ocean Conditions for the Simulation of Floating Wind Turbines: A European case study / Papi F.; Bianchini A.. - In: JOURNAL OF PHYSICS. CONFERENCE SERIES. - ISSN 1742-6588. - ELETTRONICO. - 2385:(2022), pp. 0-0. (Intervento presentato al convegno ATI Annual Congress (ATI 2022) tenutosi a Bari nel 11/09/2022 - 16/09/2022) [10.1088/1742-6596/2385/1/012117].

Derivation of Met-Ocean Conditions for the Simulation of Floating Wind Turbines: A European case study

Papi F.
;
Bianchini A.
2022

Abstract

Offshore wind turbines are subject not only to varying wind conditions during their lifetime, but also sea conditions. Therefore, in addition to wind speed, other sea-related quantities need to be considered to characterize a specific installation site. International standards suggest that, at a minimum, significant wave height, peak spectral period and wind/wave misalignment must be considered. In order to have a statistically significant description of the potential installation site, the long-term distributions of the three environmental variables must be determined. In this context, the objectives of the present work are twofold: firstly, to demonstrate the procedure trough which environmental conditions including wind and wave information can be derived using open-source tools. Secondly, an exemplary dataset is provided. The dataset is used both do demonstrate the procedure and provided as a ready-made example for use in future studies. The provided dataset is used in the EU-funded Horizon 2020 project FLOATECH.
2022
Journal of Physics: Conference Series, Volume 2385, 2022
ATI Annual Congress (ATI 2022)
Bari
11/09/2022 - 16/09/2022
Goal 7: Affordable and clean energy
Papi F.; Bianchini A.
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1306265
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