Vertical Axis Wind Turbine Layout Optimization
Davide Cazzaro,
Gabriele Bedon and
David Pisinger ()
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Davide Cazzaro: DTU Management, Technical University of Denmark, Akademivej 358, 2800 Kongens Lyngby, Denmark
Gabriele Bedon: Formerly Vattenfall BA Wind, 2800 Kongens Lyngby, Denmark
David Pisinger: Vattenfall BA Wind, Jupitervej 6, 6000 Kolding, Denmark
Energies, 2023, vol. 16, issue 6, 1-16
Abstract:
Vertical Axis Wind Turbines (VAWTs) are not mature enough yet for offshore wind farms, but they offer benefits compared to conventional Horizontal Axis Wind Turbines (HAWTs). Higher power densities, reduced wakes, lower center of mass, and different power and thrust curves make VAWTs an interesting option to complement existing wind farms. The optimization of wind farm layouts—finding the optimal positions of wind turbines in a park—has proven crucial to extract more energy from conventional wind farms. In this study, we build an optimizer for VAWTs that can consider arbitrarily shaped layouts as well as obstacles in the area. We adapt a recent model for the wakes of VAWTs considering a Troposkien design. We can then model and optimize a large VAWT park in a real wind scenario and assess for the first time its performance operating Troposkien VAWTs. In addition, we present a novel model for wind farm optimization that considers the clockwise and counterclockwise rotation of turbines. This optimization exploits the asymmetric wakes of VAWTs, thus increasing the total energy production. We benchmark our optimization on realistic instances and compare VAWTs and HAWTs wind farm layouts, showing that VAWTs can achieve higher density and power production than HAWTs in the same area. Finally, the wake loss reduction is compared to the literature.
Keywords: wind farm; layout optimization; vertical axis wind turbines; asymmetric wakes (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (3)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:16:y:2023:i:6:p:2697-:d:1096515
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