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dc.contributor.authorMohd, N.
dc.contributor.authorNandong, Jobrun
dc.date.accessioned2018-12-13T09:12:20Z
dc.date.available2018-12-13T09:12:20Z
dc.date.created2018-12-12T02:46:36Z
dc.date.issued2017
dc.identifier.citationMohd, N. and Nandong, J. 2017. Multi-Scale Control of Bunsen Section in Iodine-Sulphur Thermochemical Cycle Process. Chemical Product and Process Modeling. 12 (4).
dc.identifier.urihttp://hdl.handle.net/20.500.11937/72082
dc.identifier.doi10.1515/cppm-2017-0036
dc.description.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.

dc.publisherDe Gruyter
dc.titleMulti-Scale Control of Bunsen Section in Iodine-Sulphur Thermochemical Cycle Process
dc.typeJournal Article
dcterms.source.volume12
dcterms.source.number4
dcterms.source.issn2194-6159
dcterms.source.titleChemical Product and Process Modeling
curtin.departmentCurtin Malaysia
curtin.accessStatusFulltext not available


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