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It is Not About Time - A New Standard for Open-Loop Heliostat Calibration Methods

Pargmann, Max and Leibauer, Moritz and Nettelroth, Vincent and Maldonado Quinto, Daniel and Pitz-Paal, Robert (2023) It is Not About Time - A New Standard for Open-Loop Heliostat Calibration Methods. Solar Energy. Elsevier. ISSN 0038-092X. (Submitted)

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Heliostat calibration is a vital task in solar tower plants to ensure high plant efficiencies. Currently calibration is performed at close time intervals for every heliostat, to ensure constantly precise heliostat tracking, because it is assumed that a heliostat's precision tends to degrade over time. Consequently, new heliostat calibration procedures are frequently presented that incorporate time-dependent data set splitting for training and testing. In this study, we present a new data-set splitting method that measures the nearest neighbor distance between each calibration point using sun positions in Euler angles (Azimuth, Elevation). We conducted a comparative analysis with the common time-based split method, and our results demonstrate that neither time nor data set size significantly impacted the tracking accuracies. Instead, the distribution of sun position within the data set emerged as the most important factor. Moreover, our findings suggest that using time as a metric can be misleading when reporting validation accuracies. The proposed method has significant implications for the calibration of heliostats, previous and upcoming publications as well as the daily power plant operation. Utilizing this method, the acquired data sets are expected to achieve higher levels of accuracy while requiring less data. Furthermore, it has the potential to enhance the comparability between publications and enable risk-averse assessments of new methods to ensure stated accuracies and improve model evaluation reliability.

Item URL in elib:https://elib.dlr.de/197410/
Document Type:Article
Title:It is Not About Time - A New Standard for Open-Loop Heliostat Calibration Methods
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Pargmann, MaxUNSPECIFIEDhttps://orcid.org/0000-0002-4705-6285UNSPECIFIED
Nettelroth, VincentSynhelionUNSPECIFIEDUNSPECIFIED
Maldonado Quinto, DanielUNSPECIFIEDhttps://orcid.org/0000-0003-2929-8667UNSPECIFIED
Pitz-Paal, RobertUNSPECIFIEDhttps://orcid.org/0000-0002-3542-3391UNSPECIFIED
Date:September 2023
Journal or Publication Title:Solar Energy
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:Yes
Keywords:Concentrating solar power; Solar tower power plant; Heliostat aiming; Artificial intelligence; Neural Networks
HGF - Research field:Energy
HGF - Program:Materials and Technologies for the Energy Transition
HGF - Program Themes:High-Temperature Thermal Technologies
DLR - Research area:Energy
DLR - Program:E SW - Solar and Wind Energy
DLR - Research theme (Project):E - Smart Operation
Location: Köln-Porz
Institutes and Institutions:Institute of Solar Research > Solar Power Plant Technology
Deposited By: Pargmann, Max
Deposited On:28 Sep 2023 12:30
Last Modified:28 Sep 2023 12:30

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