Basic Analysis of Uncertainty Sources in the CFD Simulation of a Shell-and-Tube Latent Thermal Energy Storage Unit
Source abstract
Abstract
Computational Fluid Dynamics (CFD) simulations are increasingly employed in the development of latent thermal energy storage units. Yet there are often strong deviations between the experiments and numerical results. To unveil the sources of the deviations for the CFD simulation of a vertical shell-and-tube latent thermal energy storage unit, a basic analysis of different uncertainties is undertaken in this paper. Consequently, the effect of a variation of 10 material properties, six initial and boundary conditions, as well as a displacement of the temperature measuring points in the simulation, are examined. The results depict that the influence of the substance data depend on the output variable under consideration. Beside material properties, which have almost no influence, there are some properties that influence the power and the global liquid phase fraction over time, and a third group, which also has an influence on the mean power. Partly in contrast to results found in literature, the highest influence on the mean power occurs for the heat losses (which are varied in an on/off manner), the density, and the melting enthalpy (both varied by ±10%).
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Phase Change Materials Research · Adsorption and Cooling Systems · Solar Thermal and Photovoltaic Systems
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Chair of Engineering Thermodynamics and Transport Processes (LTTT), Center of Energy Technology (ZET), University of Bayreuth, Universitätsstraße 30, 95447 Bayreuth, Germany
Université Grenoble Alpes (UGA), CEA-LITEN-DTBH, 17 rue des Martyrs, 38000 Grenoble, France
References (35)
Show source-provided references
1. Thermodynamic Analysis of High-Temperature Carnot Battery Concepts10.1002/ente.201900895 ↗
2. Mehling, H., and Cabeza, L.F. (2008). Heat and Cold Storage with PCM, Springer.10.1007/978-3-540-68557-9 ↗
3. Faden, M., Höhlein, S., Wanner, J., König-Haagen, A., and Brüggemann, D. (2019). Review of Thermophysical Property Data of Octadecane for Phase-Change Studies. Materials, 12.10.3390/ma12182974 ↗
4. A review on phase-change materials: Mathematical modeling and simulations10.1016/j.rser.2010.06.011 ↗
5. Lewis, R.W., and Morgan, K. (1985). Techniques for account for the moving interface in convection/diffusion phase change. Numerical Methods in Thermal Problems, Pineridge Press.
6. A numerical analysis of freezing and melting with convection10.1016/0045-7825(81)90002-5 ↗
7. Morgan, K., Taylor, C., and Brebbia, C.A. (1980). Finite Element Analysis of Convection Heat Transfer Problems in Phase Change. Computer Methods in Fluids, Pentech.
8. Enthalpy-porosity technique for modeling convection-diffusion phase change: Application to the melting of a pure metal
9. Kheirabadi, A.C., and Groulx, D. (2015, January 25–29). The effect of the mushy-zone constant on simulated phase change heat transfer. Proceedings of the CHT-15: 6th International Symposium on Advances in Computational Heat Transfer, Begell House, Danbury, CT, USA.10.1615/ICHMT.2015.IntSympAdvComputHeatTransf.460 ↗
10. Beust, C., Franquet, E., Bédécarrats, J.-P., Garcia, P., and Pouvreau, J. (2019). Influence of the modeling parameters on the numerical CFD simulation of a shell-and-tube latent heat storage system with circular fins. SOLARPACES 2018: International Conference on Concentrating Solar Power and Chemical Energy Systems, AIP Publishing.10.1063/1.5117722 ↗
11. Numerical investigation of the influence of mushy zone parameter Amush on heat transfer characteristics in vertically and horizontally oriented thermal energy storage systems10.1016/j.applthermaleng.2019.01.102 ↗
12. Numerical simulation of a finned-tube LHTES system: Influence of the mushy zone constant on the phase change behaviour10.1016/j.egypro.2017.08.237 ↗
13. Melting in a vertical cylindrical tube: Numerical investigation and comparison with experiments10.1016/j.ijheatmasstransfer.2010.05.028 ↗
14. Ebrahimi, A., Kleijn, C.R., and Richardson, I.M. (2019). Sensitivity of numerical predictions to the permeability coefficient in simulations of melting and solidification using the enthalpy-porosity method. Energies, 12.10.3390/en12224360 ↗
15. A fixed grid numerical modelling methodology for convection-diffusion mushy region phase-change problems10.1016/0017-9310(87)90317-6 ↗
16. Mathematical modelling of solidification and melting: A review10.1088/0965-0393/4/4/004 ↗
17. Fixed grid techniques for phase change problems: A review10.1002/nme.1620300419 ↗
18. Minkowycz, W.J., and Sparrow, E.M. (1997). An overview of numerical methods for solving phase change problems. Advances in Numerical Heat Transfer, Taylor & Francis.
19. Influence of the convective energy formulation for melting problems with enthalpy methods10.1016/j.ijthermalsci.2020.106477 ↗
20. Simulation of the thermal and energy behaviour of a composite material containing encapsulated-PCM: Influence of the thermodynamical modelling10.1016/j.apenergy.2014.11.055 ↗
21. A comprehensive benchmark of fixed-grid methods for the modeling of melting10.1016/j.ijthermalsci.2017.04.008 ↗
22. Fixed-grid numerical modeling of melting and solidification using variable thermo-physical properties—Application to the melting of n-Octadecane inside a spherical capsule10.1016/j.ijheatmasstransfer.2015.03.033 ↗
23. 3D numerical and experimental study of gallium melting in a rectangular container10.1016/j.ijheatmasstransfer.2013.07.058 ↗
24. Enthalpy of phase change materials as a function of temperature: Required accuracy and suitable measurement methods10.1007/s10765-009-0641-z ↗
25. Influence of accuracy of thermal property data of a phase change material on the result of a numerical model of a packed bed latent heat storage with spheres10.1016/j.tca.2005.08.032 ↗
26. DSC test error of phase change material (PCM) and its influence on the simulation of the PCM floor10.1016/j.renene.2015.07.085 ↗
27. Experimental validation of a theoretical model: Uncertainty propagation analysis to a PCM-air thermal energy storage unit10.1016/j.enbuild.2011.10.055 ↗
28. Uncertainty propagation and sensitivity analysis of thermo-physical properties of phase change materials (PCM) in the energy demand calculations of a test cell with passive latent thermal storage10.1016/j.applthermaleng.2015.07.047 ↗
29. Modeling of PCM melting: Analysis of discrepancy between numerical and experimental results and energy storage performance10.1016/j.energy.2018.02.097 ↗
30. Numerical model evaluation of a PCM cold storage tank and uncertainty analysis of the parameters10.1016/j.applthermaleng.2014.02.055 ↗
31. Experimental and numerical study of annular PCM storage in the presence of natural convection10.1016/j.apenergy.2013.06.007 ↗
32. Rösler, F. (2014). Modellierung und Simulation der Phasenwechselvorgänge in Makroverkapselten Latenten Thermischen Speichern, Logos Verlag Berlin GmbH.
33. VDI (2013). VDI-Wärmeatlas, Springer.
34. General source-based method for solidification phase change10.1080/10407799108944962 ↗
35. Fluent, A. (2013). Ansys Fluent 15 User’s Guide, ANSYS.