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Dynamic Process Simulation of a Molten-Salt Energy Storage System

Al-Maliki, Wisam Abed Kattea ; Alobaid, Falah ; Keil, Alexander ; Epple, Bernd (2022)
Dynamic Process Simulation of a Molten-Salt Energy Storage System.
In: Applied Sciences, 2022, 11 (23)
doi: 10.26083/tuprints-00020066
Artikel, Zweitveröffentlichung, Verlagsversion

Kurzbeschreibung (Abstract)

The main objective of this work was the construction of a numerical model using Advanced Process Simulation Software to represent the dynamic behaviour of a thermal storage system (TSS). The storage model was validated by comparing the results with the measured data of the storage process of the Andasol 2 solar power plant. Subsequently, a system analysis and system optimisation were carried out, and the stand-alone concept of the thermal storage system is presented. Stand-alone refers to an isolated use of the storage system without a solar power plant. During power peaks, this storage medium is heated with excess electrical power and later returned to the electrical grid through a steam cycle. Then, the system was optimised by modelling four models based on the type of storage medium and the temperature difference of the storage system. The four models, Andasol 2, SSalt max, Hitec, and Carbonate, were evaluated and compared in terms of the improvement in capacity and efficiency that can be achieved. The comparison shows that the preferred storage medium is carbonate salt due to the increases in both efficiency and capacity. The greatest increase in efficiency in terms of power generation can also be achieved with the Carbonate model (18.2%), whereas the amount of increase was 9.5% and 7.4% for each of SSalt max and Hitec, respectively. The goal of this analysis and system optimisation of a thermal salt storage system is to stabilise and relieve the local power grid.

Typ des Eintrags: Artikel
Erschienen: 2022
Autor(en): Al-Maliki, Wisam Abed Kattea ; Alobaid, Falah ; Keil, Alexander ; Epple, Bernd
Art des Eintrags: Zweitveröffentlichung
Titel: Dynamic Process Simulation of a Molten-Salt Energy Storage System
Sprache: Englisch
Publikationsjahr: 2022
Publikationsdatum der Erstveröffentlichung: 2022
Verlag: MDPI
Titel der Zeitschrift, Zeitung oder Schriftenreihe: Applied Sciences
Jahrgang/Volume einer Zeitschrift: 11
(Heft-)Nummer: 23
Kollation: 23 Seiten
DOI: 10.26083/tuprints-00020066
URL / URN: https://tuprints.ulb.tu-darmstadt.de/20066
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Herkunft: Zweitveröffentlichung DeepGreen
Kurzbeschreibung (Abstract):

The main objective of this work was the construction of a numerical model using Advanced Process Simulation Software to represent the dynamic behaviour of a thermal storage system (TSS). The storage model was validated by comparing the results with the measured data of the storage process of the Andasol 2 solar power plant. Subsequently, a system analysis and system optimisation were carried out, and the stand-alone concept of the thermal storage system is presented. Stand-alone refers to an isolated use of the storage system without a solar power plant. During power peaks, this storage medium is heated with excess electrical power and later returned to the electrical grid through a steam cycle. Then, the system was optimised by modelling four models based on the type of storage medium and the temperature difference of the storage system. The four models, Andasol 2, SSalt max, Hitec, and Carbonate, were evaluated and compared in terms of the improvement in capacity and efficiency that can be achieved. The comparison shows that the preferred storage medium is carbonate salt due to the increases in both efficiency and capacity. The greatest increase in efficiency in terms of power generation can also be achieved with the Carbonate model (18.2%), whereas the amount of increase was 9.5% and 7.4% for each of SSalt max and Hitec, respectively. The goal of this analysis and system optimisation of a thermal salt storage system is to stabilise and relieve the local power grid.

Freie Schlagworte: dynamic simulation, stand-alone system, molten salt, thermal storage system, combined cycle plants
Status: Verlagsversion
URN: urn:nbn:de:tuda-tuprints-200668
Sachgruppe der Dewey Dezimalklassifikatin (DDC): 600 Technik, Medizin, angewandte Wissenschaften > 600 Technik
600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften und Maschinenbau
Fachbereich(e)/-gebiet(e): 16 Fachbereich Maschinenbau
16 Fachbereich Maschinenbau > Institut für Energiesysteme und Energietechnik (EST)
Hinterlegungsdatum: 29 Apr 2022 08:43
Letzte Änderung: 02 Mai 2022 05:56
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