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Performance of a 100 kW wind turbine with a Variable Ratio Gearbox

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  • Hall, John F.
  • Chen, Dongmei

Abstract

A Variable Ratio Gearbox (VRG) can be used in the drivetrain of a small to medium-size wind turbine to improve aerodynamic efficiency. Currently, all commercially-available wind turbines operate using a fixed-gear ratio between the turbine rotor and electrical generator. A VRG allows wind turbines, with a constant-speed generator, to discretely vary rotor speed and to achieve greater aerodynamic efficiency. The authors’ previous results demonstrate the viability of the VRG design. This research quantifies the gain in efficiency for a VRG-enabled wind turbine based on wind data from representing all seven wind classifications. A method is also presented to identify turbine sites that provide the VRG with the greatest opportunities to increase production. The overall findings suggest that the VRG can benefit all wind turbines, irrespective of wind class, with some wind profiles in the study experiencing gains greater than 10%.

Suggested Citation

  • Hall, John F. & Chen, Dongmei, 2012. "Performance of a 100 kW wind turbine with a Variable Ratio Gearbox," Renewable Energy, Elsevier, vol. 44(C), pages 261-266.
    • Handle: RePEc:eee:renene:v:44:y:2012:i:c:p:261-266
    DOI: 10.1016/j.renene.2012.01.094
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    References listed on IDEAS

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    1. Arifujjaman, Md. & Iqbal, M.T. & Quaicoe, J.E., 2009. "Reliability analysis of grid connected small wind turbine power electronics," Applied Energy, Elsevier, vol. 86(9), pages 1617-1623, September.
    2. Hall, John F. & Mecklenborg, Christine A. & Chen, Dongmei & Pratap, Siddharth B., 2011. "Wind energy conversion with a variable-ratio gearbox: design and analysis," Renewable Energy, Elsevier, vol. 36(3), pages 1075-1080.
    3. Arifujjaman, Md. & Iqbal, M. Tariq & Quaicoe, John E., 2008. "Energy capture by a small wind-energy conversion system," Applied Energy, Elsevier, vol. 85(1), pages 41-51, January.
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    Citations

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    Cited by:

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    2. Arturo Y. Jaen-Cuellar & David A. Elvira-Ortiz & Roque A. Osornio-Rios & Jose A. Antonino-Daviu, 2022. "Advances in Fault Condition Monitoring for Solar Photovoltaic and Wind Turbine Energy Generation: A Review," Energies, MDPI, vol. 15(15), pages 1-36, July.
    3. Petković, Dalibor & Ćojbašić, Žarko & Nikolić, Vlastimir & Shamshirband, Shahaboddin & Mat Kiah, Miss Laiha & Anuar, Nor Badrul & Abdul Wahab, Ainuddin Wahid, 2014. "Adaptive neuro-fuzzy maximal power extraction of wind turbine with continuously variable transmission," Energy, Elsevier, vol. 64(C), pages 868-874.
    4. Yin, Xiu-xing & Lin, Yong-gang & Li, Wei & Liu, Hong-wei & Gu, Ya-jing, 2014. "Output power control for hydro-viscous transmission based continuously variable speed wind turbine," Renewable Energy, Elsevier, vol. 72(C), pages 395-405.
    5. Yin, Xiu-xing & Lin, Yong-gang & Li, Wei & Gu, Hai-gang, 2016. "Hydro-viscous transmission based maximum power extraction control for continuously variable speed wind turbine with enhanced efficiency," Renewable Energy, Elsevier, vol. 87(P1), pages 646-655.

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