Optimización multiobjetivo mediante algoritmos evolutivos, para el diseño de desalinizadores solares de humidificación deshumidificación
DOI:
https://doi.org/10.51896/rilcods.v6i53.475Palabras clave:
optimización, multiobjetivo, CAD, CAE, desalinizaciónResumen
Los desalinizadores solares con el ciclo de humidificación deshumidificación (DSCHDH) son una opción viable para suplir el problema de escasez de agua potable en zonas cercanas a las costas de poca demanda y lejos de los sistemas de abasto tradicionales. Esta investigación tiene el propósito de proponer una metodología de diseño mejorada de DSCHDH. El objetivo propuesto, resulta en desarrollar un método que asegura el diseño adecuado mediante el empleo de los sistemas diseño asistido por computadora / análisis de ingeniería asistido por computadora (CAD/CAE) y la Inteligencia Artificial. Se configura una optimización multiobjetivo mediante algoritmos evolutivos que brindan un conjunto de soluciones eficientes y más económicas. Esto se desarrolla obteniendo del proceso de optimización multiobjetivo los valores termodinámicos óptimos y las dimensiones geométricas correspondientes a estos las cuales se enlazan a un sistema CAD capaz de representar el sistema y que soporta análisis de ingeniería, o sea, un sistema CAD/CAE. El aporte de la investigación se deriva del planteamiento del estudio de este tipo de sistemas en este marco.
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