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    Multi-Scale Control of Bunsen Section in Iodine-Sulphur Thermochemical Cycle Process

    Access Status
    Fulltext not available
    Authors
    Mohd, N.
    Nandong, Jobrun
    Date
    2017
    Type
    Journal Article
    
    Metadata
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    Citation
    Mohd, N. and Nandong, J. 2017. Multi-Scale Control of Bunsen Section in Iodine-Sulphur Thermochemical Cycle Process. Chemical Product and Process Modeling. 12 (4).
    Source Title
    Chemical Product and Process Modeling
    DOI
    10.1515/cppm-2017-0036
    ISSN
    2194-6159
    School
    Curtin Malaysia
    URI
    http://hdl.handle.net/20.500.11937/72082
    Collection
    • Curtin Research Publications
    Abstract

    © 2017 Walter de Gruyter GmbH, Berlin/Boston 2017. Hydrogen is considered as an environmental friendly energy carrier but its actual impact on the environment depends on the way it is produced. A strategy of plant-wide modelling and advanced process control with optimization is currently developed for the Hydrogen production via the Iodine-Sulphur thermochemical cycle process. The objectives of this paper are two-folds: (1) to optimize the trade-off between steady-state profitability and dynamic operability of the Bunsen section subject to multiple constraints, and (2) to design practical control strategy based on the multi-scale control concept. A multi-scale modelling for the Bunsen section in the Hydrogen production via the Iodine-Sulphur thermochemical cycle process is presented. Based on this multi-scale model, a practical control design is developed and applied to Bunsen section. The suitable sets of control variables and manipulated variables are chosen via a sensitivity study incorporating the multivariate Response Surface Analysis method. By dint of simulation study, it can be shown that the proposed control strategy is able to produce a good closed-loop performance where its robustness depends strongly on the selected schemes of Bunsen section. It is worth highlighting that, the proposed multi-scale control strategy demonstrates robust performance in the face of the worst case uncertainty scenario.

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