Revisión de las estrategias de modelamiento y análisis aplicados a sistemas híbridos de energía//A review of the analysis and modeling strategies applied on energy hybrid systems

Authors

  • Carlos-Andrés Forero-Núñez Universidad Jorge Tadeo Lozano, Facultad de Ciencias Naturales e Ingeniería. Bogotá
  • Jairo Alberto-Valencia Universidad Jorge Tadeo Lozano, Facultad de Ciencias e Ingeniería. Bogotá
  • Fabio-Emiro Sierra-Vargas Universidad Jorge Nacional de Colombia, Departamento de Ingeniería Mecánica. Bogotá

Abstract

El constante aumento en la demanda de energía a nivel mundial, la necesidad llevar a cabo procesos más sostenibles y la falta de electricidad en zonas alejadas de las redes de interconexión han causado un mayor interés en el desarrollo de sistemas híbridos de energía que combinen diversas tecnologías. El presente trabajo busca realizar una revisión a las diferentes estrategias empleadas a nivel mundial para el análisis de desempeño, dimensionamiento, modelamiento y evaluación de este tipo de sistemas. Una vez recopilada información derivada de diferentes fuentes académicas se pueden clasificar las estrategias en tres grupos. El primero tiene en cuenta las ecuaciones fundamentales para la evaluación independiente de cada uno de los posibles componentes de los
sistemas híbridos; el segundo considera alternativas basadas en inteligencia artificial como algoritmos genéticos, lógica difusa y redes neuronales; y el tercero se basa en el uso de herramientas computacionales disponibles como HOMER, RETScreen, TRNSYS, HYBRID2, entro otros. El uso de estas herramientas computacionales permite desarrollar simulaciones del comportamiento de sistemas híbridos teniendo en cuenta factores técnicos, ambientales y económicos considerando diferentes escenarios y cambios en parámetros operacionales.

Palabras claves: Sistemas híbridos, energía renovable, inteligencia artificial, HOMER, RETScreen.

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Abstract

The continuous increase of the world energy demand, the necessity of supplying it in a more sustainable manner and the lack of electricity in rural areas have promoted the development of hybrid systems capable of combining a wide variety of energy technologies. This work makes a review of the strategies followed to analyze the performance, dimensions, modeling and evaluation of such energy systems. After gathering some academic information available in the literature, we conclude that the strategies could be classified into three major groups. First one is based on fundamental equations applied during evaluation of each component independently; second group includes artificial intelligence-based strategies like genetic algorithms, fuzzy logic, and neural networks; and the final group is based on the application of computational tools such as HOMER,RETScreen, TRNSYS, HYBRID2, among others. The utilization of computational tools allows to simulate hybrid systems considering technical, environmental and financial factors when different scenarios and operational conditions can be possible.

Key words: Hybrid systems; Renewable energy; Artificial Intelligence, HOMER, RETScreen.

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How to Cite

1.
Forero-Núñez C-A, Alberto-Valencia J, Sierra-Vargas F-E. Revisión de las estrategias de modelamiento y análisis aplicados a sistemas híbridos de energía//A review of the analysis and modeling strategies applied on energy hybrid systems. Ing. Mec. [Internet]. 2016 Jan. 1 [cited 2025 Sep. 13];19(1):59-67. Available from: https://ingenieriamecanica.cujae.edu.cu/index.php/revistaim/article/view/535

Issue

Vol. 19 No. 1 (2016): enero-abril

Section

Review article

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