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Wind Turbulence Intensity at La Ventosa, Mexico: A Comparative Study with the IEC61400 Standards

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  • C. A. Lopez-Villalobos

    (Posgrado en Ingeniería, Universidad Nacional Autonoma de Mexico, Priv. Xochicalco s/n, Col. Centro, Temixco, Morelos CP 62580, Mexico
    These authors contributed equally to this work.)

  • O. Rodriguez-Hernandez

    (Instituto de Energías Renovables, Universidad Nacional Autonoma de Mexico, Priv. Xochicalco s/n, Col. Centro, Temixco, Morelos CP 62580, Mexico
    These authors contributed equally to this work.)

  • R. Campos-Amezcua

    (Tecnológico Nacional de México, Instituto Tecnológico de La Laguna, Blvd. Revolución y Av. Instituto Tecnológico de La laguna s/n, Centro, Torreón 27000, Coahuila, Mexico
    These authors contributed equally to this work.)

  • Guillermo Hernandez-Cruz

    (Instituto de Energías Renovables, Universidad Nacional Autonoma de Mexico, Priv. Xochicalco s/n, Col. Centro, Temixco, Morelos CP 62580, Mexico)

  • O. A. Jaramillo

    (Instituto de Energías Renovables, Universidad Nacional Autonoma de Mexico, Priv. Xochicalco s/n, Col. Centro, Temixco, Morelos CP 62580, Mexico)

  • J. L. Mendoza

    (Instituto Nacional de Electricidad y Energías Limpias (INEEL), Cuernavaca, Morelos CP 62580, Mexico)

Abstract

Wind speed turbulence intensity is a crucial parameter in designing the structure of wind turbines. The IEC61400 considers the Normal Turbulence Model (NTM) as a reference for fatigue load calculations for small and large wind turbines. La Ventosa is a relevant region for the development of the wind power sector in Mexico. However, in the literature, there are no studies on this important parameter in this zone. Therefore, we present an analysis of the turbulence intensity to improve the understanding of local winds and contribute to the development of reliable technical solutions. In this work, we experimentally estimate the turbulence intensity of the region and the wind shear exponent in terms of atmospheric stability to analyze the relation of these design parameters with the recommended standard for large and small wind turbines. The results showed that the atmosphere is strongly convective and stable in most of the eleven months studied. The turbulence intensity analysis showed that for a range of wind speeds between 2 and 24 m/s, some values of the variable measured were greater than those recommended by the standard, which corresponds to 388 hours of turbulence intensity being underestimated. This may lead to fatigue loads and cause structural damage to the technologies installed in the zone if they were not designed to operate in these wind speed conditions.

Suggested Citation

  • C. A. Lopez-Villalobos & O. Rodriguez-Hernandez & R. Campos-Amezcua & Guillermo Hernandez-Cruz & O. A. Jaramillo & J. L. Mendoza, 2018. "Wind Turbulence Intensity at La Ventosa, Mexico: A Comparative Study with the IEC61400 Standards," Energies, MDPI, vol. 11(11), pages 1-19, November.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:11:p:3007-:d:179979
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    References listed on IDEAS

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    1. Kiran Bhaganagar & Mithu Debnath, 2014. "Implications of Stably Stratified Atmospheric Boundary Layer Turbulence on the Near-Wake Structure of Wind Turbines," Energies, MDPI, vol. 7(9), pages 1-24, September.
    2. Ren, Guorui & Liu, Jinfu & Wan, Jie & Li, Fei & Guo, Yufeng & Yu, Daren, 2018. "The analysis of turbulence intensity based on wind speed data in onshore wind farms," Renewable Energy, Elsevier, vol. 123(C), pages 756-766.
    3. Emejeamara, F.C. & Tomlin, A.S. & Millward-Hopkins, J.T., 2015. "Urban wind: Characterisation of useful gust and energy capture," Renewable Energy, Elsevier, vol. 81(C), pages 162-172.
    4. Yu-Ting Wu & Fernando Porté-Agel, 2012. "Atmospheric Turbulence Effects on Wind-Turbine Wakes: An LES Study," Energies, MDPI, vol. 5(12), pages 1-23, December.
    5. Leonardo P. Chamorro & Fernando Porté-Agel, 2011. "Turbulent Flow Inside and Above a Wind Farm: A Wind-Tunnel Study," Energies, MDPI, vol. 4(11), pages 1-21, November.
    6. Willis, D.J. & Niezrecki, C. & Kuchma, D. & Hines, E. & Arwade, S.R. & Barthelmie, R.J. & DiPaola, M. & Drane, P.J. & Hansen, C.J. & Inalpolat, M. & Mack, J.H. & Myers, A.T. & Rotea, M., 2018. "Wind energy research: State-of-the-art and future research directions," Renewable Energy, Elsevier, vol. 125(C), pages 133-154.
    7. Tabrizi, Amir Bashirzadeh & Whale, Jonathan & Lyons, Thomas & Urmee, Tania, 2015. "Rooftop wind monitoring campaigns for small wind turbine applications: Effect of sampling rate and averaging period," Renewable Energy, Elsevier, vol. 77(C), pages 320-330.
    8. Jaramillo, O.A. & Borja, M.A., 2004. "Wind speed analysis in La Ventosa, Mexico: a bimodal probability distribution case," Renewable Energy, Elsevier, vol. 29(10), pages 1613-1630.
    9. Francesco Castellani & Davide Astolfi & Matteo Becchetti & Francesco Berno & Filippo Cianetti & Alessandro Cetrini, 2018. "Experimental and Numerical Vibrational Analysis of a Horizontal-Axis Micro-Wind Turbine," Energies, MDPI, vol. 11(2), pages 1-16, February.
    10. Takanori Uchida, 2018. "Numerical Investigation of Terrain-Induced Turbulence in Complex Terrain by Large-Eddy Simulation (LES) Technique," Energies, MDPI, vol. 11(10), pages 1-15, October.
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    Cited by:

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    2. Sebestyén, Viktor, 2021. "Renewable and Sustainable Energy Reviews: Environmental impact networks of renewable energy power plants," Renewable and Sustainable Energy Reviews, Elsevier, vol. 151(C).
    3. Lopez-Villalobos, C.A. & Rodriguez-Hernandez, O. & Martínez-Alvarado, O. & Hernandez-Yepes, J.G., 2021. "Effects of wind power spectrum analysis over resource assessment," Renewable Energy, Elsevier, vol. 167(C), pages 761-773.
    4. Pérez Albornoz, C. & Escalante Soberanis, M.A. & Ramírez Rivera, V. & Rivero, M., 2022. "Review of atmospheric stability estimations for wind power applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 163(C).
    5. Arenas-López, J. Pablo & Badaoui, Mohamed, 2020. "Stochastic modelling of wind speeds based on turbulence intensity," Renewable Energy, Elsevier, vol. 155(C), pages 10-22.
    6. José R. Dorrego & Armando Ríos & Quetzalcoatl Hernandez-Escobedo & Rafael Campos-Amezcua & Reynaldo Iracheta & Orlando Lastres & Pascual López & Antonio Verde & Liliana Hechavarria & Miguel-Angel Pere, 2021. "Theoretical and Experimental Analysis of Aerodynamic Noise in Small Wind Turbines," Energies, MDPI, vol. 14(3), pages 1-21, January.

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