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CONICET Digital
Article . 2019
License: CC BY NC SA
Data sources: CONICET Digital
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Applied Thermal Engineering
Article . 2020 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Numerical modeling of phase change materials using simusol software

Authors: Dellicompagni, Pablo Roberto; Franco, Ada Judith; Heim, Dariusz; Wieprzkowiczb, A.;

Numerical modeling of phase change materials using simusol software

Abstract

Abstract Thermal storage systems with phase change materials offer a high density of energy with a moderate temperature variation as well as the possibility to keep the inner temperature within a comfort range. To achieve this goal, it is necessary to select the most suitable phase change material. In this line, numerical simulations are necessary to predict results and take decisions about the best material that will be implemented on buildings devices for thermal performing. This work aims to study numerically how the inner air temperature of a defined room changes when a double-glazed PCM-filled window is mounted. For this, a new methodology for latent heat was implemented by a temperature-dependent Gauss-function, while an on/off strategy was considered to separate solid from liquid state. Both equations and parameters that involve thermophysical and optical properties were determined experimentally by Modulated Differential Scanning Calorimetry and spectroradiometer techniques, respectively. The resultant numerical model was implemented into the Simusol software for first time. It was found that the inner air temperature can be reduce up to 40% in average, in comparison with empty double-glazed window case, making it possible to reach the expected range of 20–26 °C. Simulation results also revealed that volumetric air flow for HVAC systems could be reduced up to 87% in winter, when PCM is implemented.

Country
Argentina
Keywords

SIMUSOL, LATENT HEAT, PCM, EXPERIMENTAL TEST, NUMERICAL SIMULATION, https://purl.org/becyt/ford/2.1, https://purl.org/becyt/ford/2

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    15
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
15
Top 10%
Average
Top 10%