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Model Predictive Control and Moving Horizon Estimation for Solar Tower Power Plants: Analysis and Adaptations to the Experimental Facility Solar Tower Jülich

Ostermann, Maike (2024) Model Predictive Control and Moving Horizon Estimation for Solar Tower Power Plants: Analysis and Adaptations to the Experimental Facility Solar Tower Jülich. Masterarbeit, University of Stuttgart.

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Kurzfassung

This thesis presents the extension of a model predictive control design by a moving horizon estimator, applied at the experimental facility Solar Tower Jülich. The control addresses challenges posed by cloud passages, aiming to maximize the receiver outlet power and maintain a stable outlet temperature despite solar radiation fluctuations. A safe operation has to be ensured by preventing overheating and thermal stresses in the receiver caused by fast temperature changes. These occur when the solar radiation increases rapidly after a cloud passage. The control adjusts the heat transfer fluid's mass flow and the heliostat aim points, incorporating cloud predictions to proactively handle solar radiation changes. The moving horizon estimator adapts the receiver model's parameters, attempting to improve the model accuracy and thus, enhance the efficiency and robustness of the control. The control performance was tested in simulation for different cloud coverages. By applying inaccurate cloud prediction, the robustness of the control was evaluated, yielding improvements of up to 60 % compared to the control without the parameter estimation. Tests conducted at the Solar Tower Jülich revealed shortcomings in the control design. The applied receiver model showed insufficient accuracy even when applying the parameter estimation. The real-time capability of the control was not ensured due to long delay times of the heliostats and increased process times. The thesis suggests to adapt and validate the receiver model and to enhance the real-time capability through improvements in the computational performance and the heliostat field operating system.

elib-URL des Eintrags:https://elib.dlr.de/202446/
Dokumentart:Hochschulschrift (Masterarbeit)
Titel:Model Predictive Control and Moving Horizon Estimation for Solar Tower Power Plants: Analysis and Adaptations to the Experimental Facility Solar Tower Jülich
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Ostermann, Maikemaike.ostermann (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Datum:2024
Referierte Publikation:Nein
Open Access:Ja
Seitenanzahl:90
Status:veröffentlicht
Stichwörter:solar tower, moving horizon estimator, control, csp
Institution:University of Stuttgart
Abteilung:Institute of Combustion and Power Plant Technology
HGF - Forschungsbereich:Energie
HGF - Programm:Materialien und Technologien für die Energiewende
HGF - Programmthema:Thermische Hochtemperaturtechnologien
DLR - Schwerpunkt:Energie
DLR - Forschungsgebiet:E SW - Solar- und Windenergie
DLR - Teilgebiet (Projekt, Vorhaben):E - Intelligenter Betrieb
Standort: Jülich
Institute & Einrichtungen:Institut für Solarforschung > Solare Kraftwerktechnik
Hinterlegt von: Zanger, David
Hinterlegt am:29 Jan 2024 12:52
Letzte Änderung:07 Jun 2024 10:29

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