Meteorological variables' influence on electric power generation for photovoltaic systems located at different geographical zones in Mexico

Jose A. Ruz-Hernandez; Yasuhiro Matsumoto; Fernando Arellano-Valmaña; Nun Pitalúa-Díaz; Rafael Enrique Cabanillas-López; José Humberto Abril-García; Enrique J. Herrera-López; Enrique Fernando Velázquez-Contreras

doi:10.3390/app9081649

Meteorological variables' influence on electric power generation for photovoltaic systems located at different geographical zones in Mexico

Jose A. Ruz-Hernandez, Yasuhiro Matsumoto, Fernando Arellano-Valmaña, Nun Pitalúa-Díaz^*, Rafael Enrique Cabanillas-López, José Humberto Abril-García, Enrique J. Herrera-López, Enrique Fernando Velázquez-Contreras

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

7 Scopus citations

Abstract

In this study, the relation among different meteorological variables and the electrical power from photovoltaic systems located at different selected places in Mexico were presented. The data was collected from on-site real-time measurements from Mexico City and the State of Sonora. The statistical estimation by the gradient descent method demonstrated that solar radiation, outdoor temperature, wind speed, and daylight hour influenced the electric power generation when it was compared with the real power of each photovoltaic system. According to our results, 97.63% of the estimation results matched the real data for Sonora and 99.66% the results matched for Mexico City, achieving overall errors less than 7% and 2%, respectively. The results showed an acceptable performance since a satisfactory estimation error was achieved for the estimation of photovoltaic power with a high determination coefficient R².

Original language	English
Article number	1649
Journal	Applied Sciences (Switzerland)
Volume	9
Issue number	8
DOIs	https://doi.org/10.3390/app9081649
State	Published - 1 Apr 2019

Bibliographical note

Publisher Copyright:
© 2019 by the authors.

Keywords

Electric power
Gradient descent
Meteorological variables
Photovoltaic systems
Sustainable development

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10.3390/app9081649

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Ruz-Hernandez, J. A., Matsumoto, Y., Arellano-Valmaña, F., Pitalúa-Díaz, N., Cabanillas-López, R. E., Abril-García, J. H., Herrera-López, E. J., & Velázquez-Contreras, E. F. (2019). Meteorological variables' influence on electric power generation for photovoltaic systems located at different geographical zones in Mexico. Applied Sciences (Switzerland), 9(8), Article 1649. https://doi.org/10.3390/app9081649

@article{c2f59ca1a57f46a6af666fa0c14d4b58,

title = "Meteorological variables' influence on electric power generation for photovoltaic systems located at different geographical zones in Mexico",

abstract = "In this study, the relation among different meteorological variables and the electrical power from photovoltaic systems located at different selected places in Mexico were presented. The data was collected from on-site real-time measurements from Mexico City and the State of Sonora. The statistical estimation by the gradient descent method demonstrated that solar radiation, outdoor temperature, wind speed, and daylight hour influenced the electric power generation when it was compared with the real power of each photovoltaic system. According to our results, 97.63% of the estimation results matched the real data for Sonora and 99.66% the results matched for Mexico City, achieving overall errors less than 7% and 2%, respectively. The results showed an acceptable performance since a satisfactory estimation error was achieved for the estimation of photovoltaic power with a high determination coefficient R2.",

keywords = "Electric power, Gradient descent, Meteorological variables, Photovoltaic systems, Sustainable development",

author = "Ruz-Hernandez, {Jose A.} and Yasuhiro Matsumoto and Fernando Arellano-Valma{\~n}a and Nun Pital{\'u}a-D{\'i}az and Cabanillas-L{\'o}pez, {Rafael Enrique} and Abril-Garc{\'i}a, {Jos{\'e} Humberto} and Herrera-L{\'o}pez, {Enrique J.} and Vel{\'a}zquez-Contreras, {Enrique Fernando}",

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year = "2019",

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doi = "10.3390/app9081649",

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Ruz-Hernandez, JA, Matsumoto, Y, Arellano-Valmaña, F, Pitalúa-Díaz, N , Cabanillas-López, RE, Abril-García, JH, Herrera-López, EJ & Velázquez-Contreras, EF 2019, 'Meteorological variables' influence on electric power generation for photovoltaic systems located at different geographical zones in Mexico', Applied Sciences (Switzerland), vol. 9, no. 8, 1649. https://doi.org/10.3390/app9081649

TY - JOUR

T1 - Meteorological variables' influence on electric power generation for photovoltaic systems located at different geographical zones in Mexico

AU - Ruz-Hernandez, Jose A.

AU - Matsumoto, Yasuhiro

AU - Arellano-Valmaña, Fernando

AU - Pitalúa-Díaz, Nun

AU - Cabanillas-López, Rafael Enrique

AU - Abril-García, José Humberto

AU - Herrera-López, Enrique J.

AU - Velázquez-Contreras, Enrique Fernando

PY - 2019/4/1

Y1 - 2019/4/1

N2 - In this study, the relation among different meteorological variables and the electrical power from photovoltaic systems located at different selected places in Mexico were presented. The data was collected from on-site real-time measurements from Mexico City and the State of Sonora. The statistical estimation by the gradient descent method demonstrated that solar radiation, outdoor temperature, wind speed, and daylight hour influenced the electric power generation when it was compared with the real power of each photovoltaic system. According to our results, 97.63% of the estimation results matched the real data for Sonora and 99.66% the results matched for Mexico City, achieving overall errors less than 7% and 2%, respectively. The results showed an acceptable performance since a satisfactory estimation error was achieved for the estimation of photovoltaic power with a high determination coefficient R2.

AB - In this study, the relation among different meteorological variables and the electrical power from photovoltaic systems located at different selected places in Mexico were presented. The data was collected from on-site real-time measurements from Mexico City and the State of Sonora. The statistical estimation by the gradient descent method demonstrated that solar radiation, outdoor temperature, wind speed, and daylight hour influenced the electric power generation when it was compared with the real power of each photovoltaic system. According to our results, 97.63% of the estimation results matched the real data for Sonora and 99.66% the results matched for Mexico City, achieving overall errors less than 7% and 2%, respectively. The results showed an acceptable performance since a satisfactory estimation error was achieved for the estimation of photovoltaic power with a high determination coefficient R2.

KW - Electric power

KW - Gradient descent

KW - Meteorological variables

KW - Photovoltaic systems

KW - Sustainable development

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DO - 10.3390/app9081649

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SN - 2076-3417

VL - 9

JO - Applied Sciences (Switzerland)

JF - Applied Sciences (Switzerland)

IS - 8

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ER -

Meteorological variables' influence on electric power generation for photovoltaic systems located at different geographical zones in Mexico

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