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    Real time optimization of solar powered direct contact membrane distillation based on multivariable extremum seeking

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    MSC2015_final_submision.pdf
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    1.393Mb
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    Description:
    Accepted Manuscript
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    Type
    Conference Paper
    Authors
    Karam, Ayman M. cc
    Laleg-Kirati, Taous-Meriem cc
    KAUST Department
    Computational Bioscience Research Center (CBRC)
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    Date
    2015-11-05
    Online Publication Date
    2015-11-05
    Print Publication Date
    2015-09
    Permanent link to this record
    http://hdl.handle.net/10754/583062
    
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    Abstract
    This paper presents a real time optimization scheme for a solar powered direct contact membrane distillation (DCMD) water desalination system. The sun and weather conditions vary and are inconsistent throughout the day. Therefore, the solar powered DCMD feed inlet temperature is never constant, which influences the distilled water flux. The problem of DCMD process optimization has not been studied enough. In this work, the response of the process under various feed inlet temperatures is investigated, which demonstrates the need for an optimal controller. To address this issue, we propose a multivariable Newton-based extremum seeking controller which optimizes the inlet feed and permeate mass flow rates as the feed inlet temperature varies. Results are presented and discussed for a realistic temperature profile.
    Citation
    Karam, A. M., & Laleg-Kirati, T. M. (2015). Real time optimization of solar powered direct contact membrane distillation based on multivariable extremum seeking. 2015 IEEE Conference on Control Applications (CCA). doi:10.1109/cca.2015.7320841
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    2015 IEEE Conference on Control Applications (CCA)
    Conference/Event name
    2015 IEEE Conference on Control Applications (CCA)
    DOI
    10.1109/CCA.2015.7320841
    Additional Links
    http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=7320841
    ae974a485f413a2113503eed53cd6c53
    10.1109/CCA.2015.7320841
    Scopus Count
    Collections
    Conference Papers; Electrical and Computer Engineering Program; Computational Bioscience Research Center (CBRC); Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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