Abstract

RODRIGUEZ MEJIA, Jeovany Rafael et al. Estimación de la radiación solar en el Noroeste de México basado en el modelo Angstrom y regresión polinomial. Energética [online]. 2022, vol.43, n.1, pp. 35-47.  Epub Mar 20, 2022. ISSN 1815-5901.

Solar energy has been widely studied due to the sun being considered the most important source of renewable energy, at this time. The most promising opportunity for us is in modeling solar energy for different applications. This article shows a modified Angstrom model to estimate solar radiation in northwestern Mexico (southwest United States). The algorithm developed here for the prediction of solar radiation is based on the Angstrom model, along with a historical database and polynomial regression models. One of the final applications of the regression models is to simulate the performance of photovoltaic installations and solar collectors in the Ciudad Juárez region. This document presents the simulation of a polycrystalline cell applying the regression models of solar radiation obtained. Finally, we perform a statistical analysis between the estimated model and the reference data from the Mean Square Error (RMSE).

Keywords : Angstrom Model; Model simulation; Renewable energy; Solar energy; Solar systems application.

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