Nonlinear dynamic simulation and control of large-scale reheating furnace operations using a zone method based model

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dc.contributor.authorHu, Yukun
dc.contributor.authorTan, C. K.
dc.contributor.authorBroughton, Jonathan
dc.contributor.authorRoach, Paul Alun
dc.contributor.authorVarga, Liz
dc.date.accessioned2018-04-05T19:35:19Z
dc.date.available2018-04-05T19:35:19Z
dc.date.issued2018-02-14
dc.description.abstractModern reheating furnaces are complex nonlinear dynamic systems having heat transfer performances which may be greatly influenced by operating conditions such as stock material properties, furnace scheduling and throughput rate. Commonly, each furnace is equipped with a tailored model predictive control system to ensure consistent heated product quality such as final discharge temperature and temperature uniformity within the stock pieces. Those furnace models normally perform well for a designed operating condition but cannot usually cope with a variety of transient furnace operations such as non-uniform batch scheduling and production delay from downstream processes. Under these conditions, manual interventions that rely on past experience are often used to assist the process until the next stable furnace operation has been attained. Therefore, more advanced furnace control systems are useful to meet the challenge of adapting to those circumstances whilst also being able to predict the dynamic thermal behaviour of the furnace. In view of the above, this paper describes in detail an episode of actual transient furnace operation, and demonstrates a nonlinear dynamic simulation of this furnace operation using a zone method based model with a self-adapting predictive control scheme. The proposed furnace model was found to be capable of dynamically responding to the changes that occurred in the furnace operation, achieving about ±10 °C discrepancies with respect to measured discharge temperature, and the self-adapting predictive control scheme is shown to outperform the existing scheme used for furnace control in terms of stability and fuel consumption (fuel saving of about 6%).en_UK
dc.identifier.citationYukun Hu, C.K. Tan, Jonathan Broughton, Paul Alun Roach, Liz Varga. Nonlinear dynamic simulation and control of large-scale reheating furnace operations using a zone method based model, Applied Thermal Engineering, Volume 135, 5 May 2018, Pages 41-53en_UK
dc.identifier.issn1359-4311
dc.identifier.urihttps://doi.org/10.1016/j.applthermaleng.2018.02.022
dc.identifier.urihttp://dspace.lib.cranfield.ac.uk/handle/1826/13132
dc.language.isoenen_UK
dc.publisherElaevieren_UK
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectZone methoden_UK
dc.subjectReheating furnaceen_UK
dc.subjectHybrid modelen_UK
dc.subjectNonlinear dynamic simulationen_UK
dc.subjectSelf-adapting predictive controlen_UK
dc.titleNonlinear dynamic simulation and control of large-scale reheating furnace operations using a zone method based modelen_UK
dc.typeArticleen_UK

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