Tomas Björkqvist
Department of Automation Science and Engineering, Tampere University of Technology, Finland
Olli Suominen
Department of Automation Science and Engineering, Tampere University of Technology, Finland
Matti Vilkko
Department of Automation Science and Engineering, Tampere University of Technology, Finland
Mikko Korpi
Research Center Pori, Outotec Oy, Finland
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http://dx.doi.org/10.3384/ecp17142201Published in: Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016
Linköping Electronic Conference Proceedings 142:29, p. 201-206
Published: 2018-12-19
ISBN: 978-91-7685-399-3
ISSN: 1650-3686 (print), 1650-3740 (online)
Optimal utilization of complex processes involves real-time operational optimization and scheduling, especially in cases where the production line consists of both continuous and batch operated unit processes. This kind of real-time optimization requires process models which can be computed significantly faster than real-time. Iterative balance calculation is typically far too slow for these cases. This paper presents a method for converting an iterative balance model to a directly calculating model suitable for on-line process optimization. The approach is demonstrated with the first unit process in the copper smelting line, the flash smelting furnace (FSF). The method consisted of formulating an equation group based on the constrained FSF HSC-Sim model and solving the unknown parameters and static states with use of a symbolic calculation software. The solution was implemented as a function whose calculation time fulfilled the requirements for scheduling use.
real-time model, static, mass balance, equation group, symbolic computation, metallurgy, copper smelting, scheduling
