Experimental Investigation of the Cooperation of Wind Turbines
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- Krzysztof Sobczak & Damian Obidowski & Piotr Reorowicz & Emil Marchewka, 2020. "Numerical Investigations of the Savonius Turbine with Deformable Blades," Energies, MDPI, vol. 13(14), pages 1-20, July.
- Marmidis, Grigorios & Lazarou, Stavros & Pyrgioti, Eleftheria, 2008. "Optimal placement of wind turbines in a wind park using Monte Carlo simulation," Renewable Energy, Elsevier, vol. 33(7), pages 1455-1460.
- Lipian, Michal & Dobrev, Ivan & Massouh, Fawaz & Jozwik, Krzysztof, 2020. "Small wind turbine augmentation: Numerical investigations of shrouded- and twin-rotor wind turbines," Energy, Elsevier, vol. 201(C).
- Talavera, Miguel & Shu, Fangjun, 2017. "Experimental study of turbulence intensity influence on wind turbine performance and wake recovery in a low-speed wind tunnel," Renewable Energy, Elsevier, vol. 109(C), pages 363-371.
- Lipian, Michal & Dobrev, Ivan & Karczewski, Maciej & Massouh, Fawaz & Jozwik, Krzysztof, 2019. "Small wind turbine augmentation: Experimental investigations of shrouded- and twin-rotor wind turbine systems," Energy, Elsevier, vol. 186(C).
- Adaramola, M.S. & Krogstad, P.-Å., 2011. "Experimental investigation of wake effects on wind turbine performance," Renewable Energy, Elsevier, vol. 36(8), pages 2078-2086.
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Keywords
horizontal-axis wind turbine (HAWT); wind farm; small wind turbine (SWT); experimental aerodynamics; wind tunnel;All these keywords.
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