2012
DOI: 10.1016/j.applthermaleng.2012.05.017
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Treatment of natural stones with Phase Change Materials: Experiments and computational approaches

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Cited by 21 publications
(15 citation statements)
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“…Examples of experimental projects supported by the numerical performance analysis can be found in Katsourinis et al (2010) and Romero-Sánchez et al (2012). They used PCMs for thermal enhancement of a natural stone in order to improve its thermal performance as a building material.…”
Section: Numerical Research Studies Of Pcm-enhanced Building Productsmentioning
confidence: 98%
“…Examples of experimental projects supported by the numerical performance analysis can be found in Katsourinis et al (2010) and Romero-Sánchez et al (2012). They used PCMs for thermal enhancement of a natural stone in order to improve its thermal performance as a building material.…”
Section: Numerical Research Studies Of Pcm-enhanced Building Productsmentioning
confidence: 98%
“…4 Several research studies focused on the natural stone impregnated with PCM have been performed in southern Europe. Examples of experimental projects supported by the numerical performance analysis can be found in Katsourinis et al (2010) and Romero-Sánchez et al (2012). They used PCMs for thermal enhancement of a natural stone in order to improve its thermal performance as a building material.…”
Section: Numerical Research Studies Of Pcm-enhanced Building Productsmentioning
confidence: 99%
“…30 In this context, the aim of the current study was to numerically evaluate the thermal behaviour of a purposely built, full-scale lightweight building combining a hybrid steel frame with dry wall systems incorporating PCMs, using a dedicated simulation tool, based on a validated coupled TRNSYS and MATLAB solver. 13 The analysis of the monitoring data of the building, reported by Mandilaras et al, 29 established the effects of the activation of the PCM. A more accurate investigation of the PCM effect on the thermal behaviour of the building was carried out numerically by this study, focusing on the annual cooling loads.…”
Section: Introductionmentioning
confidence: 99%