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Validation of a free vortex filament wake module for the integrated simulation of multi-rotor wind turbines

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  • Martín-San-Román, Raquel
  • Benito-Cia, Pablo
  • Azcona-Armendáriz, José
  • Cuerva-Tejero, Alvaro

Abstract

Multi wind tUrbine Simulation Tool (MUST) is a new CENER's in-house code, based on NREL's OpenFAST code, designed to allow the aero-hydro-servo-elastic modelling of novel multi-rotor wind turbine concepts. MUST also includes a new aerodynamic module, called AeroVIEW (Aerodynamic Vortex fIlamEnt Wake) based on an implementation of the Free Vortex filament Method (FVM) combined with an unsteady Lifting Line (LL). This model allows to represent the influence existing between all the rotors, in each one of them. In this article, a validation of AeroVIEW performance for single and multi-rotor configurations is presented. First, a study of the wake properties (wake geometry, core radius and circulation of tip vortex filament) obtained with AeroVIEW has been successfully compared with several MexNext III cases. Then, an analysis of the rotor wakes interaction, in different arrays of wind turbines, has been made, obtaining power and thrust increases, due to this rotor-wake interaction, for different conditions. The increases obtained in power are very similar to results of high fidelity tools found in the literature. Moreover, this beneficial effect on the power generated, has a counterpart in the average thrust, whose increase is around half of the power production increase.

Suggested Citation

  • Martín-San-Román, Raquel & Benito-Cia, Pablo & Azcona-Armendáriz, José & Cuerva-Tejero, Alvaro, 2021. "Validation of a free vortex filament wake module for the integrated simulation of multi-rotor wind turbines," Renewable Energy, Elsevier, vol. 179(C), pages 1706-1718.
    • Handle: RePEc:eee:renene:v:179:y:2021:i:c:p:1706-1718
    DOI: 10.1016/j.renene.2021.07.147
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    References listed on IDEAS

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    1. Sebastian, T. & Lackner, M.A., 2012. "Development of a free vortex wake method code for offshore floating wind turbines," Renewable Energy, Elsevier, vol. 46(C), pages 269-275.
    2. Peter J. Schubel & Richard J. Crossley, 2012. "Wind Turbine Blade Design," Energies, MDPI, vol. 5(9), pages 1-25, September.
    3. Fleming, Paul A. & Gebraad, Pieter M.O. & Lee, Sang & van Wingerden, Jan-Willem & Johnson, Kathryn & Churchfield, Matt & Michalakes, John & Spalart, Philippe & Moriarty, Patrick, 2014. "Evaluating techniques for redirecting turbine wakes using SOWFA," Renewable Energy, Elsevier, vol. 70(C), pages 211-218.
    4. Micallef, Daniel & Sant, Tonio, 2015. "Loading effects on floating offshore horizontal axis wind turbines in surge motion," Renewable Energy, Elsevier, vol. 83(C), pages 737-748.
    5. McTavish, S. & Feszty, D. & Nitzsche, F., 2013. "A study of the performance benefits of closely-spaced lateral wind farm configurations," Renewable Energy, Elsevier, vol. 59(C), pages 128-135.
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    1. Liu, Xiaodong & Feng, Bo & Liu, Di & Wang, Yiming & Zhao, Haitao & Si, Yulin & Zhang, Dahai & Qian, Peng, 2022. "Study on two-rotor interaction of counter-rotating horizontal axis tidal turbine," Energy, Elsevier, vol. 241(C).
    2. Wenbin Su & Hongbo Wei & Penghua Guo & Qiao Hu & Mengyuan Guo & Yuanjie Zhou & Dayu Zhang & Zhufeng Lei & Chaohui Wang, 2021. "Research on Hydraulic Conversion Technology of Small Ocean Current Turbines for Low-Flow Current Energy Generation," Energies, MDPI, vol. 14(20), pages 1-19, October.
    3. Yuan Zhang & Xin Cai & Shifa Lin & Yazhou Wang & Xingwen Guo, 2022. "CFD Simulation of Co-Planar Multi-Rotor Wind Turbine Aerodynamic Performance Based on ALM Method," Energies, MDPI, vol. 15(17), pages 1-13, September.
    4. Wang, Tengyuan & Cai, Chang & Wang, Xinbao & Wang, Zekun & Chen, Yewen & Song, Juanjuan & Xu, Jianzhong & Zhang, Yuning & Li, Qingan, 2023. "A new Gaussian analytical wake model validated by wind tunnel experiment and LiDAR field measurements under different turbulent flow," Energy, Elsevier, vol. 271(C).
    5. Lapa, Gabriel Vicentin Pereira & Gay Neto, Alfredo & Franzini, Guilherme Rosa, 2023. "Effects of blade torsion on IEA 15MW turbine rotor operation," Renewable Energy, Elsevier, vol. 219(P2).

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