IDEAS home Printed from https://ideas.repec.org/a/hin/jnljam/908569.html
   My bibliography  Save this article

Mathematical Modeling and Simulation of SWRO Process Based on Simultaneous Method

Author

Listed:
  • Aipeng Jiang
  • Qiang Ding
  • Jian Wang
  • Shu Jiangzhou
  • Wen Cheng
  • Changxin Xing

Abstract

Reverse osmosis (RO) technique is one of the most efficient ways for seawater desalination to solve the shortage of freshwater. For prediction and analysis of the performance of seawater reverse osmosis (SWRO) process, an accurate and detailed model based on the solution-diffusion and mass transfer theory is established. Since the accurate formulation of the model includes many differential equations and strong nonlinear equations (differential and algebraic equations, DAEs), to solve the problem efficiently, the simultaneous method through orthogonal collocation on finite elements and large scale solver were used to obtain the solutions. The model was fully discretized into NLP (nonlinear programming) with large scale variables and equations, and then the NLP was solved by large scale solver of IPOPT. Validation of the formulated model and solution method is verified by case study on a SWRO plant. Then simulation and analysis are carried out to demonstrate the performance of reverse osmosis process; operational conditions such as feed pressure and feed flow rate as well as feed temperature are also analyzed. This work is of significant meaning for the detailed understanding of RO process and future energy saving through operational optimization.

Suggested Citation

  • Aipeng Jiang & Qiang Ding & Jian Wang & Shu Jiangzhou & Wen Cheng & Changxin Xing, 2014. "Mathematical Modeling and Simulation of SWRO Process Based on Simultaneous Method," Journal of Applied Mathematics, Hindawi, vol. 2014, pages 1-11, June.
  • Handle: RePEc:hin:jnljam:908569
    DOI: 10.1155/2014/908569
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/JAM/2014/908569.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/JAM/2014/908569.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2014/908569?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Khan, Meer A.M. & Rehman, S. & Al-Sulaiman, Fahad A., 2018. "A hybrid renewable energy system as a potential energy source for water desalination using reverse osmosis: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 97(C), pages 456-477.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hin:jnljam:908569. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.