Publication Cover
Numerical Heat Transfer, Part B: Fundamentals
An International Journal of Computation and Methodology
Volume 64, 2013 - Issue 6
200
Views
8
CrossRef citations to date
0
Altmetric
Original Articles

Solutions for Heat or Cold Discharge from Encapsulated Phase-Change Materials

, &
Pages 421-435 | Received 31 Jan 2013, Accepted 18 Jul 2013, Published online: 14 Oct 2013
 

Abstract

Stable, convergent, and fast computing codes have been developed to describe heat or cold discharge from encapsulated phase-change materials (PCMs). Numerical algorithms are based on previous transformations of relevant variables to yield immobilization of the moving boundary and also a flat-like condition to enhance convergence of the computing codes. These algorithms are used to analyze heat transfer limitations imposed by the low conductivity of the solidifying PCM layer and the mixed control related to the thermal resistance of the encapsulated wall and/or heat transfer limitations to the external fluid. The stability and the convergence of the codes are analyzed by varying the mesh size, and the relative time step, and are also compared with a space grid method solution. Quasi-steady-state solutions are also proposed and their applicability examined.

Acknowledgments

This work was financially supported by Fundação para a Ciência e Tecnologia-FCT project, THERMICS: PTDC/CTM-ENE/2073/2012. One of the authors was supported by FCT Ph.D. grant SFRH/BD/62598/2009.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 486.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.