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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
Article, Secondary publication, Publisher's Version

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.

Item Type: Article
Erschienen: 2022
Creators: Al-Maliki, Wisam Abed Kattea ; Alobaid, Falah ; Keil, Alexander ; Epple, Bernd
Type of entry: Secondary publication
Title: Dynamic Process Simulation of a Molten-Salt Energy Storage System
Language: English
Date: 2022
Year of primary publication: 2022
Publisher: MDPI
Journal or Publication Title: Applied Sciences
Volume of the journal: 11
Issue Number: 23
Collation: 23 Seiten
DOI: 10.26083/tuprints-00020066
URL / URN: https://tuprints.ulb.tu-darmstadt.de/20066
Corresponding Links:
Origin: Secondary publication DeepGreen
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.

Uncontrolled Keywords: dynamic simulation, stand-alone system, molten salt, thermal storage system, combined cycle plants
Status: Publisher's Version
URN: urn:nbn:de:tuda-tuprints-200668
Classification DDC: 600 Technology, medicine, applied sciences > 600 Technology
600 Technology, medicine, applied sciences > 620 Engineering and machine engineering
Divisions: 16 Department of Mechanical Engineering
16 Department of Mechanical Engineering > Institut für Energiesysteme und Energietechnik (EST)
Date Deposited: 29 Apr 2022 08:43
Last Modified: 02 May 2022 05:56
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