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Research Article | Open Access

A Lyapunov-Sylvester numerical method for solving a reverse osmosis model

Saloua Helali1Anouar Ben Mabrouk2( )Mohamed Rashad1Nizar Bel Hadj Ali3Munirah A. Ȧlanazi1Marwah A. Alsharif1Elham M. Al-Ali2Lubna A. Alharbi4Manahil S. Mustafa5
Department of Physics, Faculty of Science, University of Tabuk, King Faisal road, Tabuk 47512, Saudi Arabia
Department of Mathematics, Faculty of Science, University of Tabuk, King Faisal road, Tabuk 47512, Saudi Arabia
National School of Engineers, University of Gabes, Street Omar Elkhattab, Zrig 6029, Gabes, Tunisia
Department of Computer Science, Faculty of Computers and Information Technology, University of Tabuk, King Faisal road, Tabuk 47512, Saudi Arabia
Department of Statistic, Faculty of Sciences, University of Tabuk, King Faisal road, Tabuk 47512, Saudi Arabia
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Abstract

Clean water is a necessity for many organisms, especially human life. Due to many factors, there is a significant shortage of potable water. This has led to efforts involving recovering water from wastewater or the sea through different technologies. Recently, the desalination of seawater via the reverse osmosis system has shown to be a promising method for drinking water treatment and recovery. Such a technique relies on mathematical models based on many parameters, resulting in special PDEs to model the reverse osmosis system. This paper develops a numerical method to solve a reverse osmosis model. The governing PDE is converted into a Sylvester equation that is proved to be uniquely solvable, stable, consistent, and convergent. The numerical scheme developed is validated with experimental data from the literature, and some numerical simulations.

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AIMS Mathematics
Pages 17531-17554

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Cite this article:
Helali S, Ben Mabrouk A, Rashad M, et al. A Lyapunov-Sylvester numerical method for solving a reverse osmosis model. AIMS Mathematics, 2024, 9(7): 17531-17554. https://doi.org/10.3934/math.2024852

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Received: 15 December 2023
Revised: 30 April 2024
Accepted: 09 May 2024
Published: 15 July 2024
©2024 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)