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Numerical Investigation of Aerodynamic Performance and Loads of a Novel Dual Rotor Wind Turbine

Author

Listed:
  • Behnam Moghadassian

    (Department of Aerospace Engineering, Iowa State University, Ames, IA 50010, USA
    These authors contributed equally to this work.)

  • Aaron Rosenberg

    (Department of Aerospace Engineering, Iowa State University, Ames, IA 50010, USA
    These authors contributed equally to this work.)

  • Anupam Sharma

    (Department of Aerospace Engineering, Iowa State University, Ames, IA 50010, USA)

Abstract

The objective of this paper is to numerically investigate the effects of the atmospheric boundary layer on the aerodynamic performance and loads of a novel dual-rotor wind turbine (DRWT). Large eddy simulations are carried out with the turbines operating in the atmospheric boundary layer (ABL) and in a uniform inflow. Two stability conditions corresponding to neutral and slightly stable atmospheres are investigated. The turbines are modeled using the actuator line method where the rotor blades are modeled as body forces. Comparisons are drawn between the DRWT and a comparable conventional single-rotor wind turbine (SRWT) to assess changes in aerodynamic efficiency and loads, as well as wake mixing and momentum and kinetic energy entrainment into the turbine wake layer. The results show that the DRWT improves isolated turbine aerodynamic performance by about 5%–6%. The DRWT also enhances turbulent axial momentum entrainment by about 3.3 %. The highest entrainment is observed in the neutral stability case when the turbulence in the ABL is moderately high. Aerodynamic loads for the DRWT, measured as out-of-plane blade root bending moment, are marginally reduced. Spectral analyses of ABL cases show peaks in unsteady loads at the rotor passing frequency and its harmonics for both rotors of the DRWT.

Suggested Citation

  • Behnam Moghadassian & Aaron Rosenberg & Anupam Sharma, 2016. "Numerical Investigation of Aerodynamic Performance and Loads of a Novel Dual Rotor Wind Turbine," Energies, MDPI, vol. 9(7), pages 1-30, July.
    • Handle: RePEc:gam:jeners:v:9:y:2016:i:7:p:571-:d:74485
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    References listed on IDEAS

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    1. Pankaj K. Jha & Earl P. N. Duque & Jessica L. Bashioum & Sven Schmitz, 2015. "Unraveling the Mysteries of Turbulence Transport in a Wind Farm," Energies, MDPI, vol. 8(7), pages 1-29, June.
    2. González, Javier Serrano & Gonzalez Rodriguez, Angel G. & Mora, José Castro & Santos, Jesús Riquelme & Payan, Manuel Burgos, 2010. "Optimization of wind farm turbines layout using an evolutive algorithm," Renewable Energy, Elsevier, vol. 35(8), pages 1671-1681.
    3. Kusiak, Andrew & Song, Zhe, 2010. "Design of wind farm layout for maximum wind energy capture," Renewable Energy, Elsevier, vol. 35(3), pages 685-694.
    4. Mittal, Prateek & Kulkarni, Kedar & Mitra, Kishalay, 2016. "A novel hybrid optimization methodology to optimize the total number and placement of wind turbines," Renewable Energy, Elsevier, vol. 86(C), pages 133-147.
    5. Jung, Sung Nam & No, Tae-Soo & Ryu, Ki-Wahn, 2005. "Aerodynamic performance prediction of a 30kW counter-rotating wind turbine system," Renewable Energy, Elsevier, vol. 30(5), pages 631-644.
    6. Fernando Porté-Agel & Yu-Ting Wu & Chang-Hung Chen, 2013. "A Numerical Study of the Effects of Wind Direction on Turbine Wakes and Power Losses in a Large Wind Farm," Energies, MDPI, vol. 6(10), pages 1-17, October.
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    Cited by:

    1. Ihor Shchur & Volodymyr Klymko & Shengbai Xie & David Schmidt, 2023. "Design Features and Numerical Investigation of Counter-Rotating VAWT with Co-Axial Rotors Displaced from Each Other along the Axis of Rotation," Energies, MDPI, vol. 16(11), pages 1-24, June.
    2. Radu Saulescu & Mircea Neagoe & Codruta Jaliu, 2018. "Conceptual Synthesis of Speed Increasers for Wind Turbine Conversion Systems," Energies, MDPI, vol. 11(9), pages 1-33, August.
    3. Mircea Neagoe & Radu Saulescu & Codruta Jaliu, 2019. "Design and Simulation of a 1 DOF Planetary Speed Increaser for Counter-Rotating Wind Turbines with Counter-Rotating Electric Generators," Energies, MDPI, vol. 12(9), pages 1-19, May.
    4. Moghadassian, Behnam & Sharma, Anupam, 2020. "Designing wind turbine rotor blades to enhance energy capture in turbine arrays," Renewable Energy, Elsevier, vol. 148(C), pages 651-664.
    5. Filip Kutt & Krzysztof Blecharz & Dariusz Karkosiński, 2020. "Axial-Flux Permanent-Magnet Dual-Rotor Generator for a Counter-Rotating Wind Turbine," Energies, MDPI, vol. 13(11), pages 1-15, June.

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