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Solar energy potential in the coastal zone of the Gulf of Mexico

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  • Villicaña-Ortiz, Eunice
  • Gutiérrez-Trashorras, Antonio J.
  • Paredes-Sánchez, José Pablo
  • Xiberta-Bernat, Jorge

Abstract

Mexico is an oil-producing country which has both fossil and renewable resources. The Gulf of Mexico is its primary source of conventional resources. The economic and environmental uncertainties arising from the widespread use of hydrocarbons, oil and natural gas make it necessary to develop indigenous renewable sources to promote the transition to a diversified energy mix, thus achieving a more sustainable energy model. Solar resources are important because of the high radiation levels throughout the country. Although use of solar power is conditioned by the climatic and meteorological characteristics of the area, it is likely to be applied in both electrical and thermal systems.

Suggested Citation

  • Villicaña-Ortiz, Eunice & Gutiérrez-Trashorras, Antonio J. & Paredes-Sánchez, José Pablo & Xiberta-Bernat, Jorge, 2015. "Solar energy potential in the coastal zone of the Gulf of Mexico," Renewable Energy, Elsevier, vol. 81(C), pages 534-542.
    • Handle: RePEc:eee:renene:v:81:y:2015:i:c:p:534-542
    DOI: 10.1016/j.renene.2015.03.068
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    References listed on IDEAS

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    Cited by:

    1. Zhang, Tiantian & Nakagawa, Kei & Matsumoto, Ken'ichi, 2023. "Evaluating solar photovoltaic power efficiency based on economic dimensions for 26 countries using a three-stage data envelopment analysis," Applied Energy, Elsevier, vol. 335(C).
    2. Gutiérrez-Trashorras, Antonio J. & Villicaña-Ortiz, Eunice & Álvarez-Álvarez, Eduardo & González-Caballín, Juan M. & Xiberta-Bernat, Jorge & Suarez-López, María J., 2018. "Attenuation processes of solar radiation. Application to the quantification of direct and diffuse solar irradiances on horizontal surfaces in Mexico by means of an overall atmospheric transmittance," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 93-106.
    3. Hussein A. Kazem, 2023. "Prediction of grid-connected photovoltaic performance using artificial neural networks and experimental dataset considering environmental variation," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(3), pages 2857-2884, March.
    4. Mostafaeipour, Ali & Qolipour, Mojtaba & Mohammadi, Kasra, 2016. "Evaluation of installing photovoltaic plants using a hybrid approach for Khuzestan province, Iran," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 60-74.
    5. Pérez-Denicia, Eduardo & Fernández-Luqueño, Fabián & Vilariño-Ayala, Darnes & Manuel Montaño-Zetina, Luis & Alfonso Maldonado-López, Luis, 2017. "Renewable energy sources for electricity generation in Mexico: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 597-613.
    6. Bocca, Alberto & Bottaccioli, Lorenzo & Chiavazzo, Eliodoro & Fasano, Matteo & Macii, Alberto & Asinari, Pietro, 2016. "Estimating photovoltaic energy potential from a minimal set of randomly sampled data," Renewable Energy, Elsevier, vol. 97(C), pages 457-467.
    7. 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.

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