OPTIMAL CONTROL OF WASTE HEAT RECOVERY SYSTEMS APPLYING NONLINEAR MODEL PREDICTIVE CONTROL (NMPC) asme-orc2015 Tracking Number 123Presentation: Session: Session 16: Advance control strategies Room: 1A Europe Session start: 11:40 Wed 14 Oct 2015 Philipp Petr p.petr@tu-braunschweig.de Affifliation: TU Braunschweig, Institut für Thermodynamik Christian Schröder christian.schroeder@tu-braunschweig.de Affifliation: TU Braunschweig, Institut für Thermodynamik Jürgen Köhler j.koehler@tu-bs.de Affifliation: TU Braunschweig, Institut für Thermodynamik Manuel Gräber m.graeber@tlk-thermo.de Affifliation: TLK-Thermo Topics: - System Design and Optimization (Topics), - Simulation and Design Tools (Topics), - Advanced Control Stratgies (Topics), - No preference (Presentation Preference) Abstract: This article describes an attempt for a real-time optimization of the net power output of an add-on Organic Rankine Cycle (ORC) system of a vehicle applying Nonlinear Model Predictive Control (NMPC). Therefore, a Modelica model library for satisfactorily accurate, fast vehicle and ORC models was developed. By means of the developed tool chain involving the optimizer MUSCOD II by the IWR Heidelberg, virtual simulation experiments of a waste heat recovery system for a long-distance bus could be realized. Results show an increase of the net power output of 7 % in part load engine operation in the European Transient Cycle compared to a conventional controller with optimum operation points optimized at steady-state conditions. |