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
N1 - Publisher Copyright:
© 2019 by the authors.
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
UR - http://www.scopus.com/inward/record.url?scp=85067115223&partnerID=8YFLogxK
U2 - 10.3390/app9081649
DO - 10.3390/app9081649
M3 - Artículo
AN - SCOPUS:85067115223
SN - 2076-3417
VL - 9
JO - Applied Sciences (Switzerland)
JF - Applied Sciences (Switzerland)
IS - 8
M1 - 1649
ER -