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Numerical modeling of large-scale finned tube latent thermal energy storage systems

Vogel, Julian und Keller, Marc und Johnson, Maike (2020) Numerical modeling of large-scale finned tube latent thermal energy storage systems. Journal of Energy Storage, 29, Seiten 38-52. Elsevier. doi: 10.1016/j.est.2020.101389. ISSN 2352-152X.

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Kurzfassung

In latent thermal energy storage, heat is transferred between a single- or two-phase heat transfer fluid and a solid/liquid phase change material. Due to the low thermal conductivity of most suitable storage materials, heat exchangers with highly thermally conductive fin structures are used to obtain feasible heat transfer rates. To study and optimize the performance of latent thermal energy storage systems, simulation models applicable on a large-scale level are required. However, the modeling of such a system in detail requires high computational effort. To overcome the current limitations of such models, a simplified and fast model for large-scale industrial storage systems is proposed in this work. The model was implemented with a self-tailored MATLAB code and consists of two coupled parts: the heat transfer fluid region and the storage region, which includes the phase change material and the heat exchanger. The heat transfer fluid region is modeled with quasi-stationary onedimensional single- or two-phase flow models and constitutive equations for pressure drop and heat transfer. Material properties of liquid thermal oil and two-phase water/steam are used. The heat transfer fluid model was verified using simulation results obtained with the commercial software Apros. The storage region was modeled based on the transient energy equation and a phase change model on a structured cylindrical geometry. To efficiently include the effect of the heat exchanger, an effective fin model for the mixture of the storage and the fin materials was developed and implemented. The effective model was first adjusted and verified using detailed reference simulations of the discretized fin structure with ANSYS Fluent. Finally, simulations with the coupled large-scale models of two reference finned tube storage systems were performed: The first one used single-phase oil as heat transfer fluid and radially oriented plate fins in the storage material. The second one used a two-phase water/steam heat transfer fluid and axially extruded fins in the storage material. The effective fin model could be verified by comparison with detailed models of the same storage systems that discretized the fin structures. The proposed modelling approach proved to be accurate and enables a more efficient design and optimization process for latent thermal energy storage systems.

elib-URL des Eintrags:https://elib.dlr.de/135400/
Dokumentart:Zeitschriftenbeitrag
Titel:Numerical modeling of large-scale finned tube latent thermal energy storage systems
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Vogel, Julianjulian.vogel (at) dlr.dehttps://orcid.org/0000-0001-9792-2332NICHT SPEZIFIZIERT
Keller, Marcmarc.keller (at) kit.eduNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Johnson, MaikeMaike.Johnson (at) dlr.dehttps://orcid.org/0000-0002-1903-9955NICHT SPEZIFIZIERT
Datum:Juni 2020
Erschienen in:Journal of Energy Storage
Referierte Publikation:Ja
Open Access:Ja
Gold Open Access:Nein
In SCOPUS:Ja
In ISI Web of Science:Ja
Band:29
DOI:10.1016/j.est.2020.101389
Seitenbereich:Seiten 38-52
Verlag:Elsevier
ISSN:2352-152X
Status:veröffentlicht
Stichwörter:Latent heat storage (LHS), Phase change material (PCM), Heat transfer fluid (HTF), Solidification and melting, Boiling and condensation, Effective thermal conductivity
HGF - Forschungsbereich:Energie
HGF - Programm:Speicher und vernetzte Infrastrukturen
HGF - Programmthema:Thermische Energiespeicher
DLR - Schwerpunkt:Energie
DLR - Forschungsgebiet:E SP - Energiespeicher
DLR - Teilgebiet (Projekt, Vorhaben):E - Thermochemische Prozesse (Speicher) (alt)
Standort: Stuttgart
Institute & Einrichtungen:Institut für Technische Thermodynamik > Thermische Prozesstechnik
Hinterlegt von: Johnson, Maike
Hinterlegt am:08 Jul 2020 13:17
Letzte Änderung:23 Okt 2023 13:39

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