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<dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:invenio="http://invenio-software.org/elements/1.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>doi:10.1016/j.applthermaleng.2015.07.047</dc:identifier><dc:language>eng</dc:language><dc:creator>Mazo, J.</dc:creator><dc:creator>El Badry, A. T.</dc:creator><dc:creator>Carreras, J.</dc:creator><dc:creator>Delgado, M.</dc:creator><dc:creator>Boer, D.</dc:creator><dc:creator>Zalba, B.</dc:creator><dc:title>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 storage</dc:title><dc:identifier>ART-2015-91578</dc:identifier><dc:description>In this work uncertainty propagation and sensitivity analyses have been applied to a case study of an application where PCM is integrated into the envelope of a test cell. The aim of the study is to quantify the influence of the uncertainties associated with the measurements of the thermo-physical properties of PCM on the results of the annual energy consumption. For this purpose, EnergyPlus has been used for the building energy simulation and a Monte Carlo based method has been chosen for the uncertainty and sensitivity analysis. Considering realistic uncertainty ranges for PCM thermo-physical properties, a significant uncertainty of savings on cooling energy demand has been calculated (approximately 10%). Phase change temperature and thermal conductivity have been identified as the most influential input parameters whereas phase change enthalpy is of secondary importance. A method has been proposed in order to calculate a combination of admissible uncertainties for the input variables that reduces output uncertainty to a required value. The method can be used if input variables and the behaviour of the model comply with certain conditions. For the case study, a maximum tolerance for the error of measurements of phase change temperature and thermal conductivity of ±0.3 °C and ±8% respectively is necessary to reduce the uncertainty of savings on cooling energy demand to 5%</dc:description><dc:date>2015</dc:date><dc:source>http://zaguan.unizar.es/record/168555</dc:source><dc:doi>10.1016/j.applthermaleng.2015.07.047</dc:doi><dc:identifier>http://zaguan.unizar.es/record/168555</dc:identifier><dc:identifier>oai:zaguan.unizar.es:168555</dc:identifier><dc:relation>info:eu-repo/grantAgreement/ES/MICINN/ENE2011-28269-C03-01</dc:relation><dc:relation>info:eu-repo/grantAgreement/ES/MICINN/ENE2011-28269-C03-03</dc:relation><dc:identifier.citation>Applied Thermal Engineering 90 (2015), 596-608</dc:identifier.citation><dc:rights>by-nc-nd</dc:rights><dc:rights>https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es</dc:rights><dc:rights>info:eu-repo/semantics/openAccess</dc:rights></dc:dc>

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