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Title:
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Numerical model evaluation of a PCM cold storage tank and uncertainty analysis of the parameters
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Author:
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Zsembinszki, Gabriel; Moreno Argilés, Pere; Solé Cutrona, Cristian; Castell, Albert; Cabeza, Luisa F.
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Notes:
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Thermal energy storage (TES) tanks for cold storage can be used for peak load shaving. This paper
presents and evaluates a mathematical model where a TES tank is filled with commercial phase change
material (PCM) flat slabs. The 2D model is used for simulating the outlet temperature of the heat transfer
fluid, and also the heat transfer rate during the discharging process. The study includes the use of an
approximation of the PCM specific heat (cPCM;old) which corresponds to the parameter calculated in the
previous iteration of the implicit finite difference method. Thus, an evaluation of the different model
parameters is performed, based on the comparison between the computational time and accuracy of the
different simulations. Moreover, the uncertainties in different input variables are also analysed in order
to find out which variable should be known more accurately. The results show that using the approximated
parameter cPCM;old is a good solution for reducing the computational time despite a slight error
increase in the case of using small time step in the simulation. Moreover, the inlet HTF temperature, and
melting temperature, density and specific heat of the PCM are the main parameters to take into account
in terms of uncertainty variables evaluation.
The research leading to these results has received funding from
the [EuropeanCommunity’s] Seventh Framework Programme([FP7/
2007-2013] [FP7/2007-2011])under grant agreementn_262285.The
work was partially funded by the Spanish Government (ENE2011-
22722, ENE2011-28269-C03-01 and ULLE10-4E-1305). The authors
would like to thank the Catalan Government for the quality accreditation
given to their research group (2009 SFR 534). |
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Subject(s):
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-Phase change material
-Thermal energy storage
-Latent heat |
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Rights:
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cc-by-nc-nd (c) Elsevier, 2014
https://creativecommons.org/licenses/by-nc-nd/3.0/
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Document type:
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article
acceptedVersion |
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Published by:
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Elsevier
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Share:
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