Multi-objective optimization using evolutionary algorithms, for the design of solar humidification dehumidification desalinators

Authors

  • Geosvanis Boligán Rojas Universidad de Holguín, Cuba.
  • Carlos Trinchet Varela Universidad de Holguín, Cuba.
  • Roberto Pérez Rodríguez Universidad de Holguín, Cuba.

DOI:

https://doi.org/10.51896/rilcods.v6i53.475

Keywords:

optimization, multi-objective, CAD, CAE, desalinization

Abstract

Solar desalination systems with the humidification-dehumidification cycle (DSCHDH) are a viable option to solve the problem of scarcity of drinking water in places near the coast with little demand and far from traditional supply systems. This research has the purpose of proposing an improved design methodology of DSCHDH. The proposed objective is to develop a method that ensures adequate design through the use of computer-aided design / computer-aided engineering analysis (CAD/CAE) systems and Artificial Intelligence. A multi-objective optimization is configured using evolutionary algorithms that provide a set of efficient and cheaper solutions. This is developed by obtaining from the multi-objective optimization process the optimal thermodynamic values and the geometric dimensions corresponding to these, which are linked to a CAD system capable of representing the system and supporting engineering analysis, that is, a CAD/CAE system. The contribution of the research derives from the approach of the study of this type of systems in this framework.

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Published

2024-04-09

How to Cite

Boligán Rojas, G., Trinchet Varela, C., & Pérez Rodríguez, R. (2024). Multi-objective optimization using evolutionary algorithms, for the design of solar humidification dehumidification desalinators. Desarrollo Sustentable, Negocios, Emprendimiento Y Educación, 6(53), 53–67. https://doi.org/10.51896/rilcods.v6i53.475

Issue

Vol. 6 No. 53 (2024): March

Section

Artículos

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