De la Vega, Eduardo

Preferred name
De la Vega, Eduardo
Official Name
De la Vega Segura, Eduardo
Alternative Name
evega
Main Affiliation
ORCID
0000-0001-5730-2868
Scopus Author ID
57219816242
Researcher ID
ETW-2272-2022

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    Item type:Publication,
    Energía y medio ambiente. Una mirada desde la Encíclica Laudato Si'
    (2022)
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    Brambila, Fernando
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    Torres Hernandez, Anthony
      5  2
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    Ecuaciones fraccionarias y sus aplicaciones: aportes a una ecología integral
    (2021-11)
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    CLAUDIO CESAR CALABRESE;510934
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    Brambila Paz, Fernando
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    Calabrese, Claudio César
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    Campus Aguascalientes
    Muchos de los modelos usados en ingeniería para describir fenómenos físicos se encuentran en términos de ecuaciones fraccionarias algebraicas y diferenciales tanto ordinarias como parciales. Actualmente no tener métodos adecuados para resolver este tipo de ecuaciones obstaculiza el análisis en la investigación. Se presenta una nueva definición de derivada fraccionaria conforme y su aplicación en funciones clásicas, un nuevo método iterativo que permite la solución de sistemas fraccionarios de n ecuaciones con n variables, el cual fue aplicado en el diseño de un módulo termogenerador-foto-concentrador híbrido del Dr. Pedro Rodrigo y en un modelo financiero de incertidumbre modelado a partir del proceso de Wiener. Posteriormente, se muestra una nueva solución de la ecuación de calor de Fourier por el método de diferencias finitas fraccionarias con el operador de Riemann-Liouville y la nueva definición de derivada conforme, finalizando con el trabajo de Brambila y Martínez en el modelado de la presión de salida del petróleo con derivadas fraccionarias, dando mejores resultados que el análisis previo usado por la compañía British Petroleum que provocó el desastre en el Golfo de México en el año 2010.
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    Review of explicit models for photovoltaic cell electrical characterization
    (Elsevier, 2025)
    Pedroza-Díaz, Alfredo
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    Valera-Albacete, Álvaro
    For modeling solar cells, the single diode model presents difficulties in implementation and is expensive computationally because it involves a transcendental and implicit mathematical equation. Some authors have proposed explicit, easy-to-use, and computationally efficient models that approximate its behavior. It is challenging to select the proper model for each specific application because the different proposals were tested for different solar panels, operating conditions, and performance metrics, and, therefore, a direct comparison based on the published information is not possible. In this study, the existing explicit models are reviewed, presenting their equations and discussing their mathematical approximations. Four new models are introduced, and a classification of models is proposed. Furthermore, a comparative analysis of all the models under many photovoltaic technologies and operating conditions is carried out using the same performance metrics and parameter extraction method. This allows developing a framework that makes the selection of models easier for each application. The comparative results show that three models proposed by the research team are more accurate than the implicit approach, with average root mean squared errors as low as 0.41 % (versus 0.54 % error of the implicit model). However, the parameters in these models lack physical sense. Among the explicit models incorporating physical parameters and formulated with elementary functions, the most accurate is based on a first order Padé approximation (0.55 % error). The ranking of models is expected to become a valuable tool for the photovoltaic community in various solar cell modeling tasks. ©The authors ©Renewable and Sustainable Energy Reviews.
      27  1