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An assessment of wind power potential along the coast of Tamaulipas, northeastern Mexico

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  • Carrasco-Díaz, Magdiel
  • Rivas, David
  • Orozco-Contreras, Manuel
  • Sánchez-Montante, Orzo

Abstract

Herein, we present an assessment of wind power potential along the coast of Tamaulipas, northeastern Mexico. We propose a method to characterize wind variability and to estimate wind potential in coastal areas where appropriate meteorological measurements may not be available. A gridded reanalysis wind product (BMW-CERSAT), which provides data of zonal and meridional components of wind with a resolution of 1/4° (∼25 km) from years 2004–2009, is used as the reference wind field after a statistical comparison to near-surface observations. Mean wind intensity field at 50-m height and its corresponding mean power density are modeled by using the Wind Atlas Analysis and Application Program (WAsP). The wind power potential of the southern half of Tamaulipas State is classified as poor (200–300 W m−2), becoming marginal in some areas near the coast. Only the northern half of the State is classified with moderate potential (400–500 W m−2), while the lagoon zone has good potential. Estimates, however, could be 30–50% higher if wind observations are measured at a higher frequency. Results show that the wind potential along Tamaulipas is lower than that suggested by the official prevailing eolic-potential map in Mexico. We conclude that even if the assessment presented in this work is preliminary, it gives a realistic approximation of wind as a promising renewable source for electric generation along the coast of Tamaulipas.

Suggested Citation

  • Carrasco-Díaz, Magdiel & Rivas, David & Orozco-Contreras, Manuel & Sánchez-Montante, Orzo, 2015. "An assessment of wind power potential along the coast of Tamaulipas, northeastern Mexico," Renewable Energy, Elsevier, vol. 78(C), pages 295-305.
  • Handle: RePEc:eee:renene:v:78:y:2015:i:c:p:295-305
    DOI: 10.1016/j.renene.2015.01.007
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    Cited by:

    1. Dayal, Kunal K. & Cater, John E. & Kingan, Michael J. & Bellon, Gilles D. & Sharma, Rajnish N., 2021. "Wind resource assessment and energy potential of selected locations in Fiji," Renewable Energy, Elsevier, vol. 172(C), pages 219-237.
    2. Herrero-Novoa, Cristina & Pérez, Isidro A. & Sánchez, M. Luisa & García, Ma Ángeles & Pardo, Nuria & Fernández-Duque, Beatriz, 2017. "Wind speed description and power density in northern Spain," Energy, Elsevier, vol. 138(C), pages 967-976.
    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. Nadia Maria Salgado-Herrera & David Campos-Gaona & Olimpo Anaya-Lara & Miguel Robles & Osvaldo Rodríguez-Hernández & Juan Ramón Rodríguez-Rodríguez, 2019. "THD Reduction in Distributed Renewables Energy Access through Wind Energy Conversion System Integration under Wind Speed Conditions in Tamaulipas, Mexico," Energies, MDPI, vol. 12(18), pages 1-19, September.
    5. Zhao, Xuejing & Wang, Chen & Su, Jinxia & Wang, Jianzhou, 2019. "Research and application based on the swarm intelligence algorithm and artificial intelligence for wind farm decision system," Renewable Energy, Elsevier, vol. 134(C), pages 681-697.
    6. César Sánchez-Rucobo y Huerdo & Ma. Eugenia Allende-Arandía & Bernardo Figueroa-Espinoza & Estefanía García-Caballero & Adolfo Contreras-Ruiz Esparza & Christian M. Appendini, 2023. "Hybrid Renewable Energy System for Terminos Lagoon, Campeche, Mexico," Energies, MDPI, vol. 16(10), pages 1-26, May.
    7. Han, Wanlong & Yan, Peigang & Han, Wanjin & He, Yurong, 2015. "Design of wind turbines with shroud and lobed ejectors for efficient utilization of low-grade wind energy," Energy, Elsevier, vol. 89(C), pages 687-701.
    8. Posada, Jorge Omar Gil & Rennie, Anthony J.R. & Villar, Sofia Perez & Martins, Vitor L. & Marinaccio, Jordan & Barnes, Alistair & Glover, Carol F. & Worsley, David A. & Hall, Peter J., 2017. "Aqueous batteries as grid scale energy storage solutions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P2), pages 1174-1182.
    9. Geovanni Hernández Galvez & Daniel Chuck Liévano & Omar Sarracino Martínez & Orlando Lastres Danguillecourt & José Rafael Dorrego Portela & Antonio Trujillo Narcía & Ricardo Saldaña Flores & Liliana P, 2022. "Harnessing Offshore Wind Energy along the Mexican Coastline in the Gulf of Mexico—An Exploratory Study including Sustainability Criteria," Sustainability, MDPI, vol. 14(10), pages 1-26, May.
    10. Suwarno Suwarno & M. Fitra Zambak, 2021. "The Probability Density Function for Wind Speed Using Modified Weibull Distribution," International Journal of Energy Economics and Policy, Econjournals, vol. 11(6), pages 544-550.
    11. Gugliani, G.K. & Sarkar, A. & Ley, C. & Mandal, S., 2018. "New methods to assess wind resources in terms of wind speed, load, power and direction," Renewable Energy, Elsevier, vol. 129(PA), pages 168-182.

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