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    Moving-Horizon Modulating Functions-Based Algorithm for Online Source Estimation in a First Order Hyperbolic PDE

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    SOL-16-1452.pdf
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    Type
    Article
    Authors
    Asiri, Sharefa M. cc
    Elmetennani, Shahrazed cc
    Laleg-Kirati, Taous-Meriem cc
    KAUST Department
    Applied Mathematics and Computational Science Program
    Computational Bioscience Research Center (CBRC)
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    Date
    2017-09-28
    Online Publication Date
    2017-09-28
    Print Publication Date
    2017-12-01
    Permanent link to this record
    http://hdl.handle.net/10754/625411
    
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    Abstract
    In this paper, an on-line estimation algorithm of the source term in a first order hyperbolic PDE is proposed. This equation describes heat transport dynamics in concentrated solar collectors where the source term represents the received energy. This energy depends on the solar irradiance intensity and the collector characteristics affected by the environmental changes. Control strategies are usually used to enhance the efficiency of heat production; however, these strategies often depend on the source term which is highly affected by the external working conditions. Hence, efficient source estimation methods are required. The proposed algorithm is based on modulating functions method where a moving horizon strategy is introduced. Numerical results are provided to illustrate the performance of the proposed estimator in open and closed loops.
    Citation
    Asiri S, Elmetennani S, Laleg-Kirati T-M (2017) Moving-Horizon Modulating Functions-Based Algorithm for Online Source Estimation in a First Order Hyperbolic PDE. Journal of Solar Energy Engineering. Available: http://dx.doi.org/10.1115/1.4037743.
    Sponsors
    Research reported in this publication was supported by King Abdullah University of Science and Technology (KAUST).
    Publisher
    ASME International
    Journal
    Journal of Solar Energy Engineering
    DOI
    10.1115/1.4037743
    Additional Links
    http://solarenergyengineering.asmedigitalcollection.asme.org/article.aspx?articleid=2652300
    ae974a485f413a2113503eed53cd6c53
    10.1115/1.4037743
    Scopus Count
    Collections
    Articles; Applied Mathematics and Computational Science Program; Electrical Engineering Program; Computational Bioscience Research Center (CBRC); Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

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