IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i6p2774-d1099548.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/6/2774/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/16/6/2774/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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. Mahmood Abduljabbar Hammad & Abdelgadir Mohamed Mahmoud & Ahmed M. Abdelrhman & Shamsul Sarip, 2024. "Performance Enhancement of H-Type Darrieus VAWT Using a Hybrid Method of Blade Pitch Angle Regulation," Energies, MDPI, vol. 17(16), pages 1-17, August.
    3. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mangla, Sachin Kumar & Srivastava, Praveen Ranjan & Eachempati, Prajwal & Tiwari, Aviral Kumar, 2024. "Exploring the impact of key performance factors on energy markets: From energy risk management perspectives," Energy Economics, Elsevier, vol. 131(C).
    2. Hugo Gaspar Hernandez-Palma & Dairo J. Novoa & Jorge Enrique Taboada à lvarez, 2024. "New Trends in Green Projects Aimed at Clean Energy: An Analysis of the Scientific Literature," International Journal of Energy Economics and Policy, Econjournals, vol. 14(6), pages 278-286, November.
    3. Cheng, Yi & Azizipanah-Abarghooee, Rasoul & Azizi, Sadegh & Ding, Lei & Terzija, Vladimir, 2020. "Smart frequency control in low inertia energy systems based on frequency response techniques: A review," Applied Energy, Elsevier, vol. 279(C).
    4. Francisco García-Lillo & Eduardo Sánchez-García & Bartolomé Marco-Lajara & Pedro Seva-Larrosa, 2023. "Renewable Energies and Sustainable Development: A Bibliometric Overview," Energies, MDPI, vol. 16(3), pages 1-22, January.
    5. Phan, Dinh-Chung & Yamamoto, Shigeru, 2016. "Rotor speed control of doubly fed induction generator wind turbines using adaptive maximum power point tracking," Energy, Elsevier, vol. 111(C), pages 377-388.
    6. Armenia Androniceanu & Irina Georgescu & Ionuț Nica & Nora Chiriță, 2023. "A Comprehensive Analysis of Renewable Energy Based on Integrating Economic Cybernetics and the Autoregressive Distributed Lag Model—The Case of Romania," Energies, MDPI, vol. 16(16), pages 1-28, August.
    7. Armenia Androniceanu & Irina Georgescu, 2023. "The Impact of CO 2 Emissions and Energy Consumption on Economic Growth: A Panel Data Analysis," Energies, MDPI, vol. 16(3), pages 1-17, January.
    8. Lin, Chia-Hung & Huang, Cong-Hui & Du, Yi-Chun & Chen, Jian-Liung, 2011. "Maximum photovoltaic power tracking for the PV array using the fractional-order incremental conductance method," Applied Energy, Elsevier, vol. 88(12), pages 4840-4847.
    9. Camblong, Haritza & Vechiu, Ionel & Guillaud, Xavier & Etxeberria, Aitor & Kreckelbergh, Stéphane, 2014. "Wind turbine controller comparison on an island grid in terms of frequency control and mechanical stress," Renewable Energy, Elsevier, vol. 63(C), pages 37-45.
    10. Liu, Yang & Dong, Kangyin & Taghizadeh-Hesary, Farhad, 2023. "How does energy aid mitigate the recipient countries’ carbon emissions?," Economic Analysis and Policy, Elsevier, vol. 79(C), pages 359-375.
    11. Ding, Yu & Kumar, Nitesh & Prakash, Abhinav & Kio, Adaiyibo E. & Liu, Xin & Liu, Lei & Li, Qingchang, 2021. "A case study of space-time performance comparison of wind turbines on a wind farm," Renewable Energy, Elsevier, vol. 171(C), pages 735-746.
    12. Njangang, Henri & Padhan, Hemachandra & Tiwari, Aviral Kumar, 2024. "From aid to resilience: Assessing the impact of climate finance on energy vulnerability in developing countries," Energy Economics, Elsevier, vol. 134(C).
    13. Marwa Hassan & Alsnosy Balbaa & Hanady H. Issa & Noha H. El-Amary, 2018. "Asymptotic Output Tracked Artificial Immunity Controller for Eco-Maximum Power Point Tracking of Wind Turbine Driven by Doubly Fed Induction Generator," Energies, MDPI, vol. 11(10), pages 1-25, October.
    14. Zhang, Zhenhua & Wu, Huangbin & Zhang, Yunpeng & Hu, Shilei & Pan, Yuxi & Feng, Yanchao, 2024. "Does digital global value chain participation reduce energy resilience? Evidence from 49 countries worldwide," Technological Forecasting and Social Change, Elsevier, vol. 208(C).
    15. Trujillo, C.L. & Velasco, D. & Figueres, E. & Garcerá, G., 2010. "Analysis of active islanding detection methods for grid-connected microinverters for renewable energy processing," Applied Energy, Elsevier, vol. 87(11), pages 3591-3605, November.
    16. Zhaoming Bi & Rabnawaz Khan, 2024. "A Comparative Study of the Environmental, Social, and Governance Impacts of Renewable Energy Investment on CO 2 Emissions in Brazil, Russia, India, China, and South Africa," Energies, MDPI, vol. 17(23), pages 1-30, November.
    17. Lin, Boqiang & Xie, Jiawen, 2023. "The role of renewable energy alliances in enhancing corporate innovation: Evidence from China," Renewable Energy, Elsevier, vol. 219(P1).
    18. Dong, Kangyin & Liu, Yang & Wang, Jianda & Dong, Xiucheng, 2024. "Is the digital economy an effective tool for decreasing energy vulnerability? A global case," Ecological Economics, Elsevier, vol. 216(C).
    19. Ganjefar, Soheil & Mohammadi, Ali, 2016. "Variable speed wind turbines with maximum power extraction using singular perturbation theory," Energy, Elsevier, vol. 106(C), pages 510-519.
    20. Lin, Zhongwei & Chen, Zhenyu & Liu, Jizhen & Wu, Qiuwei, 2019. "Coordinated mechanical loads and power optimization of wind energy conversion systems with variable-weight model predictive control strategy," Applied Energy, Elsevier, vol. 236(C), pages 307-317.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:16:y:2023:i:6:p:2774-:d:1099548. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.