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.
Highlights
Renewables energies represent a potential alternative in the transition towards a low-carbon society, where photovoltaic sources play a key role; consumers are investors and a project is implemented only if economic conditions are verified [1].Solar technologies are characterized depending on the way they capture, convert, and distribute sunlight such as photovoltaic (PV) systems and their corresponding requirements for an energy storage arrangement [2,3]
According to the above and considering References [1,13,30], the aim of this work is to present a statistical analysis based on the gradient descent method that is easy to implement and has a low computational load to estimate the electric power generation from the meteorological data such as the solar radiation, outdoor temperature, wind speed, and daylight time collected from PV systems located in Mexico City and Sonora [33]
Equation (7) is applied in order to calculate the values of θk for Hermosillo by using the Matlab R
Summary
Renewables energies represent a potential alternative in the transition towards a low-carbon society, where photovoltaic sources play a key role; consumers are investors and a project is implemented only if economic conditions are verified [1].Solar technologies are characterized depending on the way they capture, convert, and distribute sunlight such as photovoltaic (PV) systems and their corresponding requirements for an energy storage arrangement [2,3]. Sci. 2019, 9, 1649 energy from the sun to drive traditional steam turbines or engines to create electricity; solar heating and cooling (SHC) systems which collect the thermal energy from the sun use this heat to provide hot water, space heating, and cooling for residential, commercial, and industrial applications. These technologies displace the need to use electricity or natural gas [7,8,9]
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
