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Computational efficiency in numerical modeling of high temperature latent heat storage: comparison of selected software tools based on experimental data
Pointner, Harald; Gracia Cuesta, Alvaro de; Vogel, Julian; Tay, N. H. Steven; Liu, Ming; Johnson, Maike; Cabeza, Luisa F.
In this article, four different numerical models for the investigation of phase change processes within latent heat storage are described and compared concerning accuracy, convergence behavior and computational efficiency. The models are based on different types of discretization, make use of different ways to model phase change and are implemented with C, MATLAB or ANSYS CFX. After a brief introduction into each investigated numerical model, the experimental reference setup is described. It consists of a flat plate latent heat storage with the eutectic mixture NaNO3 (46 wt%)–KNO3 (54 wt%) with a measured melting temperature of 219.5 °C as storage material. Based on the corresponding simulation model developed in this paper, the comparison of the numerical models is achieved. This methodology allows the investigation of the numerical performance of different software tools in the context of high temperature latent heat storage that was not achieved thus far. All four numerical models show good agreement to experimental results but differ significantly in speed and convergence behavior. This work was partially funded by the nextPCM project supported by the German Federal Ministry for the Environment, Nature Conservation and Nuclear Safety. Moreover, the work was partially funded by the Spanish government (ENE2011-22722 and ULLE10-4E-1305). The authors Alvaro de Gracia and Luisa F. Cabeza would like to thank the Catalan Government for the quality accreditation given to their research group (2014-SGR-123). The research leading to parts of these results has received funding from the European Union’s Seventh Framework Programme (FP7/2007-2013) under grant agreement PIRSES-GA-2013-610692 (INNOSTORAGE). Alvaro de Gracia would like to thank the Education Ministry of Chile for Grant PMI ANT1201.
-Latent heat storage
-Numerical simulation
-Efficiency
-MATLAB
cc-by-nc-nd, (c) Elsevier, 2015
http://creativecommons.org/licenses/by-nc-nd/4.0/
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Elsevier
         

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