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Comparison of Power Coefficients in Wind Turbines Considering the Tip Speed Ratio and Blade Pitch Angle

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  • Oscar Carranza Castillo

    (Instituto Politécnico Nacional, Escuela Superior de Cómputo, Av. Juan de Bátiz s/n, Ciudad de Mexico 07838, Mexico
    Instituto Politécnico Nacional, Escuela Superior de Ingeniería Mecánica y Eléctrica, Unidad Zacatenco, Av. Luis Enrique Erro s/n, Ciudad de Mexico 07738, Mexico)

  • Viviana Reyes Andrade

    (Instituto Tecnológico de Puebla, Departamento de Eléctrica Electrónica, Tecnológico Nacional de México, Av. Tecnológico 420, Puebla 72220, Mexico)

  • Jaime José Rodríguez Rivas

    (Instituto Politécnico Nacional, Escuela Superior de Ingeniería Mecánica y Eléctrica, Unidad Zacatenco, Av. Luis Enrique Erro s/n, Ciudad de Mexico 07738, Mexico)

  • Rubén Ortega González

    (Instituto Politécnico Nacional, Escuela Superior de Cómputo, Av. Juan de Bátiz s/n, Ciudad de Mexico 07838, Mexico
    Instituto Politécnico Nacional, Escuela Superior de Ingeniería Mecánica y Eléctrica, Unidad Zacatenco, Av. Luis Enrique Erro s/n, Ciudad de Mexico 07738, Mexico)

Abstract

This paper presents a review of the power and torque coefficients of various wind generation systems, which involve the real characteristics of the wind turbine as a function of the generated power. The coefficients are described by mathematical functions that depend on the trip speed ratio and blade pitch angle of the wind turbines. These mathematical functions are based on polynomial, sinusoidal, and exponential equations. Once the mathematical functions have been described, an analysis of the grouped coefficients according to their function is performed with the purpose of considering the variations in the trip speed ratio for all the coefficients based on sinusoidal and exponential functions, and with the variations in the blade pitch angle. This analysis allows us to determine the different coefficients of power and torque used in wind generation systems, with the objective of developing algorithms for searching for the point of maximum power generated and for the active control of wind turbines with variations in the blade pitch angle.

Suggested Citation

  • Oscar Carranza Castillo & Viviana Reyes Andrade & Jaime José Rodríguez Rivas & Rubén Ortega González, 2023. "Comparison of Power Coefficients in Wind Turbines Considering the Tip Speed Ratio and Blade Pitch Angle," Energies, MDPI, vol. 16(6), pages 1-23, March.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:6:p:2774-:d:1099548
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    References listed on IDEAS

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    1. Katarzyna Chudy-Laskowska & Tomasz Pisula, 2022. "An Analysis of the Use of Energy from Conventional Fossil Fuels and Green Renewable Energy in the Context of the European Union’s Planned Energy Transformation," Energies, MDPI, vol. 15(19), pages 1-23, October.
    2. Niu, Briana & Hwangbo, Hoon & Zeng, Li & Ding, Yu, 2018. "Evaluation of alternative power production efficiency metrics for offshore wind turbines and farms," Renewable Energy, Elsevier, vol. 128(PA), pages 81-90.
    3. Armenia Androniceanu & Oana Matilda Sabie, 2022. "Overview of Green Energy as a Real Strategic Option for Sustainable Development," Energies, MDPI, vol. 15(22), pages 1-35, November.
    4. González, L.G. & Figueres, E. & Garcerá, G. & Carranza, O., 2010. "Maximum-power-point tracking with reduced mechanical stress applied to wind-energy-conversion-systems," Applied Energy, Elsevier, vol. 87(7), pages 2304-2312, July.
    5. Liu, Yang & Dong, Kangyin & Jiang, Qingzhe, 2023. "Assessing energy vulnerability and its impact on carbon emissions: A global case," Energy Economics, Elsevier, vol. 119(C).
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    Cited by:

    1. Jimiao Zhang & Jie Li, 2024. "Hybrid Deloading Control Strategy in MMC-Based Wind Energy Conversion Systems for Enhanced Frequency Regulation," Energies, MDPI, vol. 17(5), pages 1-22, March.
    2. Wiesław Łyskawiński & Krzysztof Kowalski & Rafał M. Wojciechowski, 2024. "Experimental Assessment of Suitability of Darrieus and Savonius Turbines for Obtaining Wind Energy from Passing Vehicles," Energies, MDPI, vol. 17(7), pages 1-17, March.

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