Otimização multiobjetivo utilizando algoritmos evolutivos, para projeto de dessalinizadores de umidificação solar e desumidificação
DOI:
https://doi.org/10.51896/rilcods.v6i53.475Palavras-chave:
otimização, multialvo, CAD, CAE, dessalinizaçãoResumo
Os dessalinizadores solares com ciclo de umidificação-desumidificação (DSCHDH) são uma opção viável para superar o problema da escassez de água potável em áreas próximas ao litoral com pouca demanda e distantes dos sistemas tradicionais de abastecimento. Esta pesquisa tem como objetivo propor uma metodologia de projeto aprimorada de DSCHDH. O objetivo proposto resulta no desenvolvimento de um método que garanta um projeto adequado através da utilização de sistemas de desenho assistido por computador/análise de engenharia assistida por computador (CAD/CAE) e de Inteligência Artificial. Uma otimização multiobjetivo é configurada utilizando algoritmos evolutivos que fornecem um conjunto de soluções eficientes e mais econômicas. Este é desenvolvido obtendo do processo de otimização multiobjetivo os valores termodinâmicos ótimos e as dimensões geométricas correspondentes a eles, que estão vinculados a um sistema CAD capaz de representar o sistema e que suporta análises de engenharia, ou seja, um sistema CAD/ Sistema CAE. A contribuição da investigação deriva da abordagem ao estudo deste tipo de sistemas neste enquadramento.
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