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Solar Irradiation Evaluation through GIS Analysis Based on Grid Resolution and a Mathematical Model: A Case Study in Northeast Mexico

Author

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  • Fausto André Valenzuela-Domínguez

    (School of Engineering and Sciences, Tecnologico de Monterrey, Blvd. Enrique Mazón López 965, Hermosillo 83000, Sonora, Mexico)

  • Luis Alfonso Santa Cruz

    (School of Engineering and Sciences, Tecnologico de Monterrey, Blvd. Enrique Mazón López 965, Hermosillo 83000, Sonora, Mexico)

  • Enrique A. Enríquez-Velásquez

    (School of Engineering, The University of Edinburgh, Sanderson Building, Robert Stevenson Road, The King’s Buildings, Edinburgh EH9 3FB, UK)

  • Luis C. Félix-Herrán

    (School of Engineering and Sciences, Tecnologico de Monterrey, Blvd. Enrique Mazón López 965, Hermosillo 83000, Sonora, Mexico)

  • Victor H. Benitez

    (Department of Industrial Engineering, Universidad de Sonora, Hermosillo 83000, Sonora, Mexico)

  • Jorge de-J. Lozoya-Santos

    (School of Engineering and Sciences, Tecnologico de Monterrey, Ave. Eugenio Garza Sada 2501, Monterrey 64849, Nuevo León, Mexico)

  • Ricardo A. Ramírez-Mendoza

    (School of Engineering and Sciences, Tecnologico de Monterrey, Ave. Eugenio Garza Sada 2501, Monterrey 64849, Nuevo León, Mexico)

Abstract

The estimation of the solar resource on certain surfaces of the planet is a key factor in deciding where to establish solar energy collection systems. This research uses a mathematical model based on easy-access geographic and meteorological information to calculate total solar radiation at ground surface. This information is used to create a GIS analysis of the State of Nuevo León in Mexico and identify solar energy opportunities in the territory. The analyzed area was divided into a grid and the coordinates of each corner are used to feed the mathematical model. The obtained results were validated with statistical analyses and satellite-based estimations from the National Aeronautics and Space Administration (NASA). The applied approach and the results may be replicated to estimate solar radiation in other regions of the planet without requiring readings from on-site meteorological stations and therefore reducing the cost of decision-making regarding where to place the solar energy collection equipment.

Suggested Citation

  • Fausto André Valenzuela-Domínguez & Luis Alfonso Santa Cruz & Enrique A. Enríquez-Velásquez & Luis C. Félix-Herrán & Victor H. Benitez & Jorge de-J. Lozoya-Santos & Ricardo A. Ramírez-Mendoza, 2021. "Solar Irradiation Evaluation through GIS Analysis Based on Grid Resolution and a Mathematical Model: A Case Study in Northeast Mexico," Energies, MDPI, vol. 14(19), pages 1-37, October.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:19:p:6427-:d:651643
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    References listed on IDEAS

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    1. Zhao, Shuting & Wu, Lifeng & Xiang, Youzhen & Dong, Jianhua & Li, Zhen & Liu, Xiaoqiang & Tang, Zijun & Wang, Han & Wang, Xin & An, Jiaqi & Zhang, Fucang & Li, Zhijun, 2022. "Coupling meteorological stations data and satellite data for prediction of global solar radiation with machine learning models," Renewable Energy, Elsevier, vol. 198(C), pages 1049-1064.

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