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MULTIVARIABLE EPSAC PREDICTIVE CONTROL FOR ORGANIC RANKINE CYCLE TECHNOLOGY
Andres Hernandez, Adriano Desideri, Clara Ionescu, Sylvain Quoilin, Vincent Lemort, Robin De Keyser
Session: Poster session & Sponsor Exhibition
Session starts: Monday 07 October, 14:00
Andres Hernandez (Ghent University EeSA)
Adriano Desideri (University of Liege)
Clara Ionescu (Ghent University EeSA)
Sylvain Quoilin (University of Liege)
Vincent Lemort (University of Liege)
Robin De Keyser (Ghent University EeSA)
Abstract:
The Organic Rankine Cycle (ORC) technology has become very popular, as it is extremely suitable for waste heat recovery from low-grade heat sources. As the ORC is a strongly coupled nonlinear multiple-input multiple-output (MIMO) process, conventional control strategies (e.g. PID) may not achieve satisfactory results. In this contribution our focus is on the accurate regulation of the superheating, in order to increase the efficiency of the cycle and to avoid the formation of liquid droplets that could damage the expander. To this end, a multivariable Model Predictive Control (MPC) strategy with improved disturbance rejection capabilities is proposed, its performance is compared to the one of PI controllers for the case of variable waste-heat source profiles.