Park optimization and wake interaction study at Bockstigen offshore wind power plant
Independent thesis Advanced level (degree of Master (One Year)), 10 credits / 15 HE creditsStudent thesis
Losses for wake effects in offshore wind farms represent about 10% to 20% of the park annual energy production. Several analytical wake models have been developed and implemented to predict the power deficit of a wake-affected wind turbine. Validating and parameterizing the wake models available in the industry is essential to better predict the wake losses and thus maximize the energy yield of future offshore developments.
In this study, a wake model validation is undertaken for the three models available in the commercial software WindSim. Data from Horns Rev wind farm is used to that purpose. Next, the models that show the best agreement with the observations are parameterized to better describe the power losses of a future offshore wind farm at Bockstigen. To finish with, an optimization sensitivity study is carried out and a final optimal layout is determined according to the seabed depth.
Place, publisher, year, edition, pages
2014. , 143 p.
Wake, Wind power, Offshore, Analytical models, Experimental validation, Atmospheric stability, Layout optimization
IdentifiersURN: urn:nbn:se:uu:diva-245579OAI: oai:DiVA.org:uu-245579DiVA: diva2:791237
Master Programme in Wind Power Project Management
Ivanell, Stefan, Associate Professor
Breton, Simon-Philippe, Associate Professor