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Uso de Minimización Irrestricta de una Función Espectral para Estimar la Zona Visible en Matlab 19.0

  • Quispe , Reynaldo [1] ; Juli, Verónica [2]
    1. [1] Universidad Nacional José María Arguedas

      Universidad Nacional José María Arguedas

      Andahuaylas, Perú

    2. [2] Universidad Nacional de San Agustín de Arequipa, Departamento Académico de Física, Arequipa, Perú
  • Localización: Revista Politécnica, ISSN-e 2477-8990, Vol. 54, Nº. 1, 2024 (Ejemplar dedicado a: Revista Politécnica), págs. 87-96
  • Idioma: español
  • DOI: 10.33333/rp.vol54n1.09
  • Títulos paralelos:
    • Use of Unrestricted Minimization of a Spectral Function to Estimate the Visible Zone in Matlab 19.0
  • Enlaces
  • Resumen
    • español

      Debido a la simplicidad y amplia aplicabilidad, la minimización irrestricta en la zona visible (Vis) es una herramienta importante para resolver muchos problemas de optimización de parámetros y condiciones operativas de sistemas fotovoltaicos. El propósito de este trabajo es usar la minimización irrestricta de una función objetivo simplificada E para estimar la zona Vis. Utilizamos el método cuantitativo y técnica documental, con una muestra de 34 datos experimentales Vis de la estación de la Universidad Heredia. Se utilizó el Software Matlab 19.0 y se aplicó el método paramétrico: minimización de un modelo matemático mediante el algoritmo básico con corrección de Armijo mediante el backtracking. El resultado obtenido es un optimizador factible de E en 33 iteraciones, la cual determinó un modelo de transferencia de la zona Vis de turbidez por aerosoles  3,69x10-2 y capa de ozono (l) 57,40x10-2 cm con parámetros estadísticos de incertidumbre 0,132%, 2,066% para el error de sesgo medio relativo (rMBE) y error cuadrático medio relativo (rRMSE) respectivamente. Se concluyó que la atmósfera de la Universidad Heredia presenta un cielo blanco alternado turbio sin agujero de ozono.

    • English

      Due to the simplicity and wide applicability, unrestricted minimization in the visible zone (Vis) is an important tool to solve many optimization problems of parameters and operating conditions of photovoltaic systems. The purpose of this work is to use unrestricted minimization of a simplified objective function E to estimate the Vis zone. We used a quantitative method and a documentary technique, analyzing a sample of 34 Vis experimental data from the Heredia University station. The parametric method was applied by means of the Matlab 19.0 Software, specifically through the minimization of a mathematical model employing the basic algorithm with Armijo correction using backtracking. The result obtained is a feasible optimizer of E in 33 iterations, which determined a transfer model of the Vis zone of aerosol turbidity 3.69x10-2 and ozone layer (l) 57.40x10-2 cm with statistical parameters of uncertainty 0.132%, 2.066% for the relative mean bias error (rMBE) and relative root mean square error (rRMSE) respectively. It is concluded that the atmosphere of the Heredia University presents a cloudy alternating white sky without an ozone hole.

       

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