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KLIMEŠ, L. CHARVÁT, P. OSTRÝ, M. ŠTĚTINA, J.
Originální název
Parallel heat transfer model of a panel with phase change material for thermal storage applications computed on graphics processing units
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
Phase change materials have a wide range of application including thermal energy storage in building structures, solar air collectors, heat storage units and exchangers. Such applications often utilize a commercially produced phase change material enclosed in a thin panel (container) made of aluminum. A parallel 1D heat transfer model of a container with phase change material was developed by means of the control volume and effective heat capacity methods. The parallel implementation in the CUDA computing architecture allows the model for running on graphics processing units which makes the model very fast in comparison to traditional models computed on a single CPU. The paper presents the model implementation and results of computational model benchmarking carried out with the use of high-level and low-level GPUs NVIDIA.
Klíčová slova
heat transfer model, phase change materials, PCM panel, latent heat, thermal energy storage, parallelization, GPGPU, graphics processing units
Autoři
KLIMEŠ, L.; CHARVÁT, P.; OSTRÝ, M.; ŠTĚTINA, J.
Rok RIV
2015
Vydáno
5. 1. 2015
Nakladatel
Trans Tech Publications
Místo
Švýcarsko
ISBN
978-3-03835-369-0
Kniha
ICMEM 2014
ISSN
1022-6680
Periodikum
Advanced Materials Research
Ročník
1077
Číslo
1
Stát
Švýcarská konfederace
Strany od
118
Strany do
123
Strany počet
4
BibTex
@inproceedings{BUT111108, author="Lubomír {Klimeš} and Pavel {Charvát} and Milan {Ostrý} and Josef {Štětina}", title="Parallel heat transfer model of a panel with phase change material for thermal storage applications computed on graphics processing units", booktitle="ICMEM 2014", year="2015", journal="Advanced Materials Research", volume="1077", number="1", pages="118--123", publisher="Trans Tech Publications", address="Švýcarsko", doi="10.4028/www.scientific.net/AMR.1077.118", isbn="978-3-03835-369-0", issn="1022-6680" }