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Statistical analysis of wind power in the region of Veracruz (Mexico)

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  • Cancino-Solórzano, Yoreley
  • Xiberta-Bernat, Jorge

Abstract

The capacity of the Mexican electricity sector faces the challenge of satisfying the demand of the 80GW forecast by 2016. This value supposes a steady yearly average increase of some 4.9%. The electricity sector increases for the next eight years will be mainly made up of combined cycle power plants which could be a threat to the energy supply of the country due to the fact that the country is not self-sufficient in natural gas.

Suggested Citation

  • Cancino-Solórzano, Yoreley & Xiberta-Bernat, Jorge, 2009. "Statistical analysis of wind power in the region of Veracruz (Mexico)," Renewable Energy, Elsevier, vol. 34(6), pages 1628-1634.
  • Handle: RePEc:eee:renene:v:34:y:2009:i:6:p:1628-1634
    DOI: 10.1016/j.renene.2008.11.018
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    References listed on IDEAS

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    1. Weisser, D, 2003. "A wind energy analysis of Grenada: an estimation using the ‘Weibull’ density function," Renewable Energy, Elsevier, vol. 28(11), pages 1803-1812.
    2. Kainkwa, R.M.R., 2000. "Wind speed pattern and the available wind power at Basotu, Tanzania," Renewable Energy, Elsevier, vol. 21(2), pages 289-295.
    3. Li, G, 2000. "Feasibility of large scale offshore wind power for Hong Kong — a preliminary study," Renewable Energy, Elsevier, vol. 21(3), pages 387-402.
    4. Lun, Isaac Y.F & Lam, Joseph C, 2000. "A study of Weibull parameters using long-term wind observations," Renewable Energy, Elsevier, vol. 20(2), pages 145-153.
    5. Lu, Lin & Yang, Hongxing & Burnett, John, 2002. "Investigation on wind power potential on Hong Kong islands—an analysis of wind power and wind turbine characteristics," Renewable Energy, Elsevier, vol. 27(1), pages 1-12.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. LM López-Manrique & EV Macias-Melo & KM Aguilar-Castro & I Hernández-Pérez & HP Díaz-Hernández, 2021. "Review on methodological and normative advances in assessment and estimation of wind energy," Energy & Environment, , vol. 32(1), pages 25-61, February.
    2. Guillermo Valencia & Aldair Benavides & Yulineth Cárdenas, 2019. "Economic and Environmental Multiobjective Optimization of a Wind–Solar–Fuel Cell Hybrid Energy System in the Colombian Caribbean Region," Energies, MDPI, vol. 12(11), pages 1-19, June.
    3. Osvaldo Rodriguez-Hernandez & Manuel Martinez & Carlos Lopez-Villalobos & Hector Garcia & Rafael Campos-Amezcua, 2019. "Techno-Economic Feasibility Study of Small Wind Turbines in the Valley of Mexico Metropolitan Area," Energies, MDPI, vol. 12(5), pages 1-26, March.
    4. Hernandez-Escobedo, Quetzalcoatl & Manzano-Agugliaro, Francisco & Gazquez-Parra, Jose Antonio & Zapata-Sierra, Antonio, 2011. "Is the wind a periodical phenomenon? The case of Mexico," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(1), pages 721-728, January.
    5. Phan, Duong & Bab-Hadiashar, Alireza & Lai, Chow Yin & Crawford, Bryn & Hoseinnezhad, Reza & Jazar, Reza N. & Khayyam, Hamid, 2020. "Intelligent energy management system for conventional autonomous vehicles," Energy, Elsevier, vol. 191(C).
    6. Gualtieri, Giovanni, 2018. "Surface turbulence intensity as a predictor of extrapolated wind resource to the turbine hub height: method's test at a mountain site," Renewable Energy, Elsevier, vol. 120(C), pages 457-467.
    7. Cancino-Solórzano, Yoreley & Paredes-Sánchez, José Pablo & Gutiérrez-Trashorras, Antonio José & Xiberta-Bernat, Jorge, 2016. "The development of renewable energy resources in the State of Veracruz, Mexico," Utilities Policy, Elsevier, vol. 39(C), pages 1-4.
    8. Cancino-Solórzano, Yoreley & Gutiérrez-Trashorras, Antonio J. & Xiberta-Bernat, Jorge, 2011. "Current state of wind energy in Mexico, achievements and perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(8), pages 3552-3557.
    9. Hernández-Escobedo, Q. & Saldaña-Flores, R. & Rodríguez-García, E.R. & Manzano-Agugliaro, F., 2014. "Wind energy resource in Northern Mexico," Renewable and Sustainable Energy Reviews, Elsevier, vol. 32(C), pages 890-914.
    10. Soler-Bientz, Rolando, 2011. "Preliminary results from a network of stations for wind resource assessment at North of Yucatan Peninsula," Energy, Elsevier, vol. 36(1), pages 538-548.
    11. Hernández-Escobedo, Q. & Manzano-Agugliaro, F. & Zapata-Sierra, A., 2010. "The wind power of Mexico," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(9), pages 2830-2840, December.

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