Estimation of solar radiation by models dependent on extreme temperatures for the region of Puno, Peru

Huaman C.W.T.; Mamani E.G.M.; Ramos J.R.G.; Laime H.H.F.; Mamani V.E. · Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology (2022) · DOI: 10.18687/laccei2022.1.1.377

Resumen

The objective of this research was to identify a model to estimate solar radiation for the Puno region based on extreme temperatures. For which seven models have been considered to estimate global solar radiation, to make the adjustments of the models, data from the 2016-2018 period of the DAVIS meteorological station for the city of Puno were considered, where the coefficients of the models were adjusted considering 1097 data. To choose the appropriate model, the correlation coefficient between measured and estimated solar radiation data was used. Then, the data measured by SENAMHI for the thirteen provinces of the Puno region have been considered. Concluding, it was possible to identify two models to estimate solar radiation in the Puno region, considering as input variable the difference in extreme temperatures and the latitude of the place, a correlation coefficient of 0.855 was obtained for the measured and estimated solar radiation data.... For the estimation of solar radiation in the Puno region, the data on extreme temperatures from SENAMHI for the thirteen provinces have been considered, reaching estimates of solar radiation through the regression model of order four.

Instituciones: Universidad Nacional Intercultural de Quillabamba