1. The influence of different wind and wave conditions on the energy yield and downtime of a Spar-buoy floating wind turbine
- Author
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Climent Molins, Mikel De-Prada-Gil, Markus Lerch, Institut de Recerca en Energía de Catalunya, Universitat Politècnica de Catalunya. Departament d'Enginyeria Civil i Ambiental, and Universitat Politècnica de Catalunya. ATEM - Anàlisi i Tecnologia d'Estructures i Materials
- Subjects
Downtime ,060102 archaeology ,Energia eòlica -- Estructures marines ,Renewable Energy, Sustainability and the Environment ,020209 energy ,Floating wind turbine ,06 humanities and the arts ,02 engineering and technology ,Molins de vent ,7. Clean energy ,Turbine ,Offshore wind power ,Acceleration ,Electricity generation ,13. Climate action ,Spar buoy ,Wind turbines ,0202 electrical engineering, electronic engineering, information engineering ,Environmental science ,0601 history and archaeology ,Submarine pipeline ,Energies::Energia eòlica::Aerogeneradors [Àrees temàtiques de la UPC] ,Floating offshore wind turbine Energy yield Downtime Dynamic model Met-ocean conditions ,Offshore structures ,Marine engineering - Abstract
Floating offshore wind turbines (FOWT) have been extensively proven in model tests and are reaching currently a pre-commercial phase where large scale demonstrators are being built offshore. This transition increases the need for models able to assess the performance at suitable offshore locations. A simplified model is proposed that computes the dynamic response of FOWT to different met-ocean conditions and calculates the energy production considering the behavior of the structure as well as the downtime of the turbine due to exceeding operating limits. The model is validated against FAST and applied to three offshore sites. The motions response and hub acceleration are largest for West of Barra followed by Gulf of Maine and Costa Brava. The energy generation is also the highest at West of Barra, where a capacity factor of 75% is reached. A comparison between the energy generation of a bottom-fixed and FOWT indicates a difference of less than 1% for all sites. Finally, a sensitivity analysis of hub acceleration and platform pitch limits studies the impact on the capacity factor and downtime. The model can be useful for feasibility or pre-engineering studies and can be of interest for both investigators and developers of offshore wind projects.