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A simulation environment for UAV-based real-time condition monitoring of solar tower power plants

Schnerring, Alexander und Broda, Rafal und Winter, Adrian und Nieslony, Michael und Krauth, Julian und Röger, Marc und Kallio, Sonja und Pitz-Paal, Robert (2025) A simulation environment for UAV-based real-time condition monitoring of solar tower power plants. Solar Energy, 300, Seite 113803. Elsevier. doi: 10.1016/j.solener.2025.113803. ISSN 0038-092X.

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Offizielle URL: https://www.sciencedirect.com/science/article/pii/S0038092X25005663

Kurzfassung

The development and testing of unmanned aerial vehicle (UAV)-based condition monitoring systems is time consuming, costly and poses safety risks. While numerous examples show that simulation environments are well suited to support the development process, existing environments fall short of simulating quantities specific to the condition monitoring of solar tower power plants. To bridge this gap, we present a simulation environment that provides quantities necessary to investigate such systems in simulation, prior to their application in real solar tower power plants. The presented environment models the state of the solar field and computes observations of the field and reflections of a point light source, as seen from a virtual camera. In addition, it allows for the navigation of a simulated UAV in the virtual solar field in response to realistic UAV control signals. The simulated concentrator corner points were found to match the concentrator corner points determined by a bundle adjustment measurement up to an RMSE=23.7mm before and RMSE=4.6mm after accounting for translational, rotational and scale errors. The simulated reflections of a point light source were found to match the measured reflections up to an RMSE of 2.25mrad in X-direction and 2.09mrad in Y-direction in the concentrator coordinate system. After eliminating errors in the camera position estimate, concentrator orientations and mirror surface slope errors, the remaining RMSE is 0.35mrad in X-direction and 0.22mrad in Y-direction. We conclude that the proposed simulation environment is a valuable tool for the development of UAV-based condition monitoring systems of solar tower power plants.

elib-URL des Eintrags:https://elib.dlr.de/218296/
Dokumentart:Zeitschriftenbeitrag
Titel:A simulation environment for UAV-based real-time condition monitoring of solar tower power plants
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Schnerring, Alexanderalexander.schnerring (at) dlr.dehttps://orcid.org/0009-0004-1700-6481196097823
Broda, RafalRafal.Broda (at) dlr.dehttps://orcid.org/0009-0000-2378-1776196097825
Winter, Adrianadrian.winter (at) dlr.dehttps://orcid.org/0009-0007-0507-039XNICHT SPEZIFIZIERT
Nieslony, Michaelmichael.nieslony (at) dlr.dehttps://orcid.org/0000-0002-6110-0895196097828
Krauth, JulianJulian.Krauth (at) dlr.dehttps://orcid.org/0000-0001-7769-650X196097829
Röger, MarcMarc.Roeger (at) dlr.dehttps://orcid.org/0000-0003-0618-4253NICHT SPEZIFIZIERT
Kallio, SonjaSonja.Kallio (at) dlr.dehttps://orcid.org/0000-0002-1409-7793196097831
Pitz-Paal, RobertRobert.Pitz-Paal (at) dlr.dehttps://orcid.org/0000-0002-3542-3391NICHT SPEZIFIZIERT
Datum:1 November 2025
Erschienen in:Solar Energy
Referierte Publikation:Ja
Open Access:Ja
Gold Open Access:Nein
In SCOPUS:Ja
In ISI Web of Science:Ja
Band:300
DOI:10.1016/j.solener.2025.113803
Seitenbereich:Seite 113803
Verlag:Elsevier
ISSN:0038-092X
Status:veröffentlicht
Stichwörter:unmanned aerial vehicle, simulation, condition monitoring, calibration, concentrated solar power, heliostat
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 - Condition Monitoring
Standort: Köln-Porz
Institute & Einrichtungen:Institut für Solarforschung
Institut für Solarforschung > Qualifizierung
Hinterlegt von: Schnerring, Alexander
Hinterlegt am:05 Nov 2025 13:09
Letzte Änderung:05 Nov 2025 13:09

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