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    Performance analysis of a medium-sized industrial reverse osmosis brackish water desalination plant

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    Mujtaba_Desalination.pdf (825.3Kb)
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    Publication date
    2018-10-01
    Author
    Al-Obaidi, Mudhar A.A.R.
    Alsarayreh, A.A.
    Al-Hroub, A.M.
    Alsadaie, S.
    Mujtaba, Iqbal M.
    Keyword
    Reverse osmosis
    Spiral wound module
    Brackish water desalination
    Modelling
    Simulation
    Performance analysis
    Rights
    © 2018 Elsevier. Reproduced in accordance with the publisher's self-archiving policy. This manuscript version is made available under the CC-BY-NC-ND 4.0 license.
    Peer-Reviewed
    Yes
    
    Metadata
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    Abstract
    The implementation of Reverse Osmosis (RO) technology is noticeably increased to produce freshwater from brackish and seawater resources. In this work, performance analysis of a multistage multi pass medium-sized spiral wound brackish water RO (BWRO) desalination plant (1200 m³/day) of Arab Potash Company (APC) located in Jordan is evaluated using modelling and simulation. For this purpose, a mathematical model for the spiral wound RO process based on the principles of solution diffusion model is developed. The model is then used to simulate the operating conditions of low-salinity brackish water RO (BWRO) desalination plant. The results obtained are then compared against the real industrial data of BWRO desalination plant of APC which shows a high-level of consistency. Finally, the model is used to analysis the impact of the operating parameters such as salinity, pressure, temperature, and flow rate on the plant performance. The sensitivity analysis confirms that both feed flow rate and operating pressure as the critical parameters that positively affect the product salinity.
    URI
    http://hdl.handle.net/10454/16400
    Version
    Accepted Manuscript
    Citation
    Al-Obaidi MA, Alsarayreh AA, Al-Hroub AM et al (2018) Performance analysis of a medium-sized industrial reverse osmosis brackish water desalination plant. Desalination. 443: 272-284.
    Link to publisher’s version
    https://doi.org/10.1016/j.desal.2018.06.010
    Type
    Article
    Collections
    Engineering and Informatics Publications

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