The present research activity is aimed at demonstrating the feasibility of dynamic realtime optimization (D-RTO) on the industrial scale. Some well-established and field-proven tools, such as ROMeo™ for real-time optimization (RTO) and DynSim™ for dynamic simulation, are combined with very performing solvers for differential systems (BzzMath library) and specific methods (multiple shooting) to obtain a full-integrated solution for D-RTO. A steam-cracking furnace is selected as validation case: the SPYRO® -based dynamic simulation is developed using FORTRAN, C++, and DynSim™ and it is integrated in ROMeo™ to perform the D-RTO. A quantitative comparison between the traditional RTO and the D-RTO is also provided. © 2011 Elsevier B.V.

Process Dynamic Optimization Using ROMeo

MANENTI, FLAVIO;PIERUCCI, SAURO;
2011

Abstract

The present research activity is aimed at demonstrating the feasibility of dynamic realtime optimization (D-RTO) on the industrial scale. Some well-established and field-proven tools, such as ROMeo™ for real-time optimization (RTO) and DynSim™ for dynamic simulation, are combined with very performing solvers for differential systems (BzzMath library) and specific methods (multiple shooting) to obtain a full-integrated solution for D-RTO. A steam-cracking furnace is selected as validation case: the SPYRO® -based dynamic simulation is developed using FORTRAN, C++, and DynSim™ and it is integrated in ROMeo™ to perform the D-RTO. A quantitative comparison between the traditional RTO and the D-RTO is also provided. © 2011 Elsevier B.V.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11311/631387
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