Dokument-ID Dokumenttyp Verfasser/Autoren Herausgeber Haupttitel Abstract Auflage Verlagsort Verlag Erscheinungsjahr Seitenzahl Schriftenreihe Titel Schriftenreihe Bandzahl ISBN Quelle der Hochschulschrift Konferenzname Bemerkung Quelle:Titel Quelle:Jahrgang Quelle:Heftnummer Quelle:Erste Seite Quelle:Letzte Seite URN DOI Zugriffsart Link Abteilungen OPUS4-9487 Konferenzveröffentlichung Sattler, Johannes, Christoph, sattler@sij.fh-aachen.de; Caminos, Ricardo Alexander Chico, ; Ürlings, Nicolas, ; Dutta, Siddharth, ; Ruiz, Victor, ; Kalogirou, Soteris, ; Ktistis, Panayiotis, ; Agathokleous, Rafaela, ; Jung, Christian, ; Alexopoulos, Spiros, alexopoulos@sij.fh-aachen.de; Atti, Vikrama Nagababu, vikrama.atti@sij.fh-aachen.de; Teixeira Boura, Cristiano José, boura@sij.fh-aachen.de; Herrmann, Ulf, ulf.herrmann@sij.fh-aachen.de Operational experience and behaviour of a parabolic trough collector system with concrete thermal energy storage for process steam generation in Cyprus 2020 NaN AIP Conference Proceedings 2303 140004-1 140004-10 10.1063/5.0029278 campus https://doi.org/10.1063/5.0029278 Fachbereich Energietechnik OPUS4-5716 Konferenzveröffentlichung Vaeßen, Christiane, vaessen@fh-aachen.de; Alexopoulos, Spiros, alexopoulos@sij.fh-aachen.de; Kluczka, Sven, kluczka@sij.fh-aachen.de; Sattler, Johannes Christoph, ; Roeb, M., ; Neises, M., ; Abdellatif, T., Analyse der Verfahren zur solaren Methanolproduktion aus CO2 Köln DLR 2011 [143] Bl. Forschung und Entwicklung für solarthermische Kraftwerke : 14. Kölner Sonnenkolloquium Mittwoch, 13. Juli 2011, im Auditorium des Campus Jülich der FH Aachen : Kurzfassungen der Vorträge und Poster 2 S. weltweit http://www.dlr.de/sf/Portaldata/73/Resources/dokumente/Soko/Soko2011/14._Koelner_Sonnenkolloquium_KurzfassungVortraegePoster.pdf Solar-Institut Jülich OPUS4-5700 Konferenzveröffentlichung Alexopoulos, Spiros, alexopoulos@sij.fh-aachen.de; Hoffschmidt, Bernhard, hoffschmidt@sij.fh-aachen.de; Rau, Christoph, rau@sij.fh-aachen.de; Sattler, Johannes, Christoph, sattler@sij.fh-aachen.de Simulation of hybrid solar tower power plants Red Hook, NY Curran 2012 S. 3412 - 4265 30th ISES Biennial Solar World Congress 2011 : Kassel, Germany, 28 August - 2 September 2011. Vol. 5 4044 4050 Solar-Institut Jülich OPUS4-8989 Konferenzveröffentlichung Schwager, Christian, schwager@sij.fh-aachen.de; Teixeira Boura, Cristiano José, boura@sij.fh-aachen.de; Flesch, Robert, ; Alexopoulos, Spiros, alexopoulos@sij.fh-aachen.de; Herrmann, Ulf, ulf.hermann@sij.fh-aachen.de Improved efficiency prediction of a molten salt receiver based on dynamic cloud passage simulation 2019 NaN AIP Conference Proceedings 2126 978-0-7354-1866-0 1 030054-1 030054-8 10.1063/1.5117566 campus https://doi.org/10.1063/1.5117566 Solar-Institut Jülich OPUS4-11063 Konferenzveröffentlichung Sattler, Johannes Christoph, sattler@sij.fh-aachen.de; Atti, Vikrama, ; Alexopoulos, Spiros, alexopoulos@sij.fh-aachen.de; Teixeira Boura, Cristiano José, Boura@sij.fh-aachen.de; Herrmann, Ulf, ulf.herrmann@sij.fh-aachen.de; Dutta, Siddharth, ; Kioutsioukis, Ioannis, DNI forecast tool for the smart operation of a parabolic trough collector system with concrete thermal energy storage: Theory, results and outlook 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. Hannover TIB Open Publishing 2022 9 Seiten SolarPACES conference proceedings 28th International Conference on Concentrating Solar Power and Chemical Energy Systems, 27-30 September, Albuquerque, NM, USA VOL. 1 10.52825/solarpaces.v1i.731 https://doi.org/10.52825/solarpaces.v1i.731 Fachbereich Energietechnik