TY  - CHAP
A1  - Sattler, Johannes Christoph
A1  - Schneider, Iesse Peer
A1  - Angele, Florian
A1  - Atti, Vikrama
A1  - Teixeira Boura, Cristiano José
A1  - Herrmann, Ulf
T1  - Development of heliostat field calibration methods: Theory and experimental test results
T2  - SolarPACES conference proceedings
N2  - In this work, three patent pending calibration methods for heliostat fields of central receiver systems (CRS) developed by the Solar-Institut Jülich (SIJ) of the FH Aachen University of Applied Sciences are presented. The calibration methods can either operate in a combined mode or in stand-alone mode. The first calibration method, method A, foresees that a camera matrix is placed into the receiver plane where it is subjected to concentrated solar irradiance during a measurement process. The second calibration method, method B, uses an unmanned aerial vehicle (UAV) such as a quadrocopter to automatically fly into the reflected solar irradiance cross-section of one or more heliostats (two variants of method B were tested). The third calibration method, method C, foresees a stereo central camera or multiple stereo cameras installed e.g. on the solar tower whereby the orientations of the heliostats are calculated from the location detection of spherical red markers attached to the heliostats. The most accurate method is method A which has a mean accuracy of 0.17 mrad. The mean accuracy of method B variant 1 is 1.36 mrad and of variant 2 is 1.73 mrad. Method C has a mean accuracy of 15.07 mrad. For method B there is great potential regarding improving the measurement accuracy. For method C the collected data was not sufficient for determining whether or not there is potential for improving the accuracy.
KW  - Heliostat Field Calibration
KW  - Unmanned aerial vehicle
KW  - UAV
KW  - Quadrocopter
KW  - Camera system
Y1  - 2024
U6  - http://dx.doi.org/10.52825/solarpaces.v1i.678
SN  - 2751-9899 (online)
N1  - 28th International Conference on Concentrating Solar Power and Chemical Energy Systems, 27-30 September, Albuquerque, NM, USA
IS  - Vol. 1
PB  - TIB Open Publishing
CY  - Hannover
ER  - 
TY  - CHAP
A1  - Sattler, Johannes Christoph
A1  - Atti, Vikrama
A1  - Alexopoulos, Spiros
A1  - Teixeira Boura, Cristiano José
A1  - Herrmann, Ulf
A1  - Dutta, Siddharth
A1  - Kioutsioukis, Ioannis
T1  - DNI forecast tool for the smart operation of a parabolic trough collector system with concrete thermal energy storage: Theory, results and outlook
T2  - SolarPACES conference proceedings
N2  - This work presents a basic forecast tool for predicting direct normal irradiance (DNI) in hourly resolution, which the Solar-Institut Jülich (SIJ) is developing within a research project. The DNI forecast data shall be used for a parabolic trough collector (PTC) system with a concrete thermal energy storage (C-TES) located at the company KEAN Soft Drinks Ltd in Limassol, Cyprus. On a daily basis, 24-hour DNI prediction data in hourly resolution shall be automatically produced using free or very low-cost weather forecast data as input. The purpose of the DNI forecast tool is to automatically transfer the DNI forecast data on a daily basis to a main control unit (MCU). The MCU automatically makes a smart decision on the operation mode of the PTC system such as steam production mode and/or C-TES charging mode. The DNI forecast tool was evaluated using historical data of measured DNI from an on-site weather station, which was compared to the DNI forecast data. The DNI forecast tool was tested using data from 56 days between January and March 2022, which included days with a strong variation in DNI due to cloud passages. For the evaluation of the DNI forecast reliability, three categories were created and the forecast data was sorted accordingly. The result was that the DNI forecast tool has a reliability of 71.4 % based on the tested days. The result fulfils SIJ’s aim to achieve a reliability of around 70 %, but SIJ aims to still improve the DNI forecast quality.
KW  - Direct normal irradiance forecast
KW  - DNI forecast
KW  - Parabolic trough collector
KW  - PTC
KW  - Thermal Energy Storage
Y1  - 2024
U6  - http://dx.doi.org/10.52825/solarpaces.v1i.731
SN  - 2751-9899 (online)
N1  - 28th International Conference on Concentrating Solar Power and Chemical Energy Systems, 27-30 September, Albuquerque, NM, USA
IS  - VOL. 1
PB  - TIB Open Publishing
CY  - Hannover
ER  -