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%0 Thesis
%A Popp, Rudolf
%T Modellprädiktive Regelung von Solarturm-Kraftwerken
%I Rheinisch-Westfälische Technische Hochschule Aachen
%V Dissertation
%C Aachen
%M RWTH-2026-00473
%P 1 Online-Ressource : Illustrationen
%D 2025
%Z Veröffentlicht auf dem Publikationsserver der RWTH Aachen University 2026
%Z Dissertation, Rheinisch-Westfälische Technische Hochschule Aachen, 2025
%X The safe and efficient operation of solar thermal tower power plants poses a demanding automation challenge due to complex system dynamics and extreme thermal conditions. While higher temperatures improve efficiency, material constraints impose strict thermal limits. Conventional control strategies, such as feedforward PID controllers with heuristic safety mechanisms, reach their limits under dynamic disturbances like passing clouds. They react only after deviations occur, operate conservatively and do not fully exploit the available solar power potential. This work investigates the application of Model Predictive Control (MPC) as an active strategy to balance efficiency and safety. By leveraging a physics-based system model, the MPC enables predictive optimization over a finite planning horizon while explicitly considering thermal limits and dynamic system responses. The first application focuses on the control of a molten-salt receiver for power generation. Compared to a conventional PID controller, the MPC reduces the root mean square temperature deviation by 45
%F PUB:(DE-HGF)11
%9 Dissertation / PhD Thesis
%R 10.18154/RWTH-2026-00473
%U https://publications.rwth-aachen.de/record/1025017