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

  • Received: 15 December 2023 Revised: 30 April 2024 Accepted: 09 May 2024 Published: 21 May 2024
  • 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.

    Citation: Saloua Helali, Anouar Ben Mabrouk, Mohamed Rashad, Nizar Bel Hadj Ali, Munirah A. Ȧlanazi, Marwah A. Alsharif, Elham M. Al-Ali, Lubna A. Alharbi, Manahil S. Mustafa. A Lyapunov-Sylvester numerical method for solving a reverse osmosis model[J]. AIMS Mathematics, 2024, 9(7): 17531-17554. doi: 10.3934/math.2024852

    Related Papers:

  • 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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