Lelia Quispe Huamán, Matías Huillca Arbieto, Vilma Sarmiento Mamani, Guina Sotomayor Alzamora
DOI: 10.59427/rcli/2024/v24.54-63
Measuring global solar radiation is a challenging task due to the difficulty in obtaining daily data, primarily due to technical and financial constraints. This has led to the development of empirical models for estimation. The objective of this research is to find the empirical model with the best performance using thermal amplitude for Puno. Three empirical models, namely Bristow-Campbell, Chen, and Hargreaves-Samani, were validated using measured data from the Puno meteorological station of the National Meteorology and Hydrology Service between 2014 and 2021. As a result, correlation coefficients of 0.922, 0.862, and 0.882 were obtained for Bristow-Campbell, Chen, and Hargreaves-Samani models, respectively. The percentage of the root mean square error was 6.494%, 8.278%, and 7.694% between measured and estimated values, respectively. The conclusion is that the Bristow-Campbell model fits better in the evaluated area. Thus, determining daily global solar radiation in the area will facilitate studies on climate change, solar energy applications, among other research areas. Finally, it is suggested that validated empirical models serve as predictors for designing applications by scientists, policymakers, and other stakeholders.
Pág. 54-63, 05-Oct,
