Publication detail

Front tracking in modelling of latent heat thermal energy storage: Assessment of accuracy and efficiency, benchmarking and GPU-based acceleration

KLIMEŠ, L. MAUDER, T. CHARVÁT, P. ŠTĚTINA, J.

Original Title

Front tracking in modelling of latent heat thermal energy storage: Assessment of accuracy and efficiency, benchmarking and GPU-based acceleration

Type

journal article in Web of Science

Language

English

Original Abstract

Computer simulations of phase change processes are of high importance in research and industry. The phase change of a material from solid to liquid and vice versa is commonplace in many technical applications from metal production to latent heat thermal energy storage. As for computer modelling, most investigators and engineers use well-known interface capturing methods because of their simplicity and straightforward implementation. However, these methods often suffer from lower computational accuracy. The paper investigates the use of the front tracking method which utilizes explicit tracking of the interface between the phases. The assessment of the computational accuracy shows that the front tracking method is about two orders of magnitude more accurate than interface capturing methods. The acceleration by means of the graphics processing units (GPUs) was utilized to enhance the computational efficiency of the front tracking method. The results demonstrate that the front tracking method and its GPU-based acceleration represent a powerful tool for fast and accurate modelling of phase change processes.

Keywords

Computational heat transfer; Front tracking method; GPU-based acceleration; Latent heat thermal energy storage; Phase change modelling

Authors

KLIMEŠ, L.; MAUDER, T.; CHARVÁT, P.; ŠTĚTINA, J.

Released

15. 7. 2018

Publisher

Elsevier

ISBN

0360-5442

Periodical

Energy

Year of study

155

Number

1

State

United Kingdom of Great Britain and Northern Ireland

Pages from

297

Pages to

311

Pages count

15

BibTex

@article{BUT151950,
  author="Lubomír {Klimeš} and Tomáš {Mauder} and Pavel {Charvát} and Josef {Štětina}",
  title="Front tracking in modelling of latent heat thermal energy storage: Assessment of accuracy and efficiency, benchmarking and GPU-based acceleration",
  journal="Energy",
  year="2018",
  volume="155",
  number="1",
  pages="297--311",
  doi="10.1016/j.energy.2018.05.017",
  issn="0360-5442"
}