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               <dc:title>Numerical model evaluation of a PCM cold storage tank and uncertainty analysis of the parameters</dc:title>
               <dc:creator>Zsembinszki, Gabriel</dc:creator>
               <dc:creator>Moreno Argilés, Pere</dc:creator>
               <dc:creator>Solé Cutrona, Cristian</dc:creator>
               <dc:creator>Castell, Albert</dc:creator>
               <dc:creator>Cabeza, Luisa F.</dc:creator>
               <dc:subject>Phase change material</dc:subject>
               <dc:subject>Thermal energy storage</dc:subject>
               <dc:subject>Latent heat</dc:subject>
               <dc:description>Thermal energy storage (TES) tanks for cold storage can be used for peak load shaving. This paper&#xd;
presents and evaluates a mathematical model where a TES tank is filled with commercial phase change&#xd;
material (PCM) flat slabs. The 2D model is used for simulating the outlet temperature of the heat transfer&#xd;
fluid, and also the heat transfer rate during the discharging process. The study includes the use of an&#xd;
approximation of the PCM specific heat (cPCM;old) which corresponds to the parameter calculated in the&#xd;
previous iteration of the implicit finite difference method. Thus, an evaluation of the different model&#xd;
parameters is performed, based on the comparison between the computational time and accuracy of the&#xd;
different simulations. Moreover, the uncertainties in different input variables are also analysed in order&#xd;
to find out which variable should be known more accurately. The results show that using the approximated&#xd;
parameter cPCM;old is a good solution for reducing the computational time despite a slight error&#xd;
increase in the case of using small time step in the simulation. Moreover, the inlet HTF temperature, and&#xd;
melting temperature, density and specific heat of the PCM are the main parameters to take into account&#xd;
in terms of uncertainty variables evaluation.</dc:description>
               <dc:description>The research leading to these results has received funding from&#xd;
the [EuropeanCommunity’s] Seventh Framework Programme([FP7/&#xd;
2007-2013] [FP7/2007-2011])under grant agreementn_262285.The&#xd;
work was partially funded by the Spanish Government (ENE2011-&#xd;
22722, ENE2011-28269-C03-01 and ULLE10-4E-1305). The authors&#xd;
would like to thank the Catalan Government for the quality accreditation&#xd;
given to their research group (2009 SFR 534).</dc:description>
               <dc:date>2024-12-05T22:11:08Z</dc:date>
               <dc:date>2024-12-05T22:11:08Z</dc:date>
               <dc:date>2015-02-09T08:09:04Z</dc:date>
               <dc:date>2014</dc:date>
               <dc:type>article</dc:type>
               <dc:type>acceptedVersion</dc:type>
               <dc:identifier>http://hdl.handle.net/10459.1/47889</dc:identifier>
               <dc:relation>MICINN/PN2008-2011/ENE2011-22722</dc:relation>
               <dc:relation>MICINN/PN2008-2011/ENE2011-28269-C03-01</dc:relation>
               <dc:relation>Versió postprint del document publicat a https://doi.org/10.1016/j.applthermaleng.2014.02.055</dc:relation>
               <dc:relation>Applied Thermal Engineering, 2014, vol. 67, p. 16-23</dc:relation>
               <dc:relation>info:eu-repo/grantAgreement/EC/FP7/262285</dc:relation>
               <dc:rights>cc-by-nc-nd (c) Elsevier, 2014</dc:rights>
               <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
               <dc:rights>https://creativecommons.org/licenses/by-nc-nd/3.0/</dc:rights>
               <dc:publisher>Elsevier</dc:publisher>
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