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A phase change processor method for solving a one-dimensional phase change problem with convection boundary

Author

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  • Halawa, E.
  • Saman, W.
  • Bruno, F.

Abstract

A simple yet accurate iterative method for solving a one-dimensional phase change problem with convection boundary is described. The one-dimensional model takes into account the variation in the wall temperature along the direction of the flow as well as the sensible heat during preheating/pre-cooling of the phase change material (PCM). The mathematical derivation of convective boundary conditions has been integrated into a phase change processor (PCP) algorithm that solves the liquid fraction and temperature of the nodes. The algorithm is based on the heat balance at each node as it undergoes heating or cooling which inevitably involves phase change. The paper presents the model and its experimental validation.

Suggested Citation

  • Halawa, E. & Saman, W. & Bruno, F., 2010. "A phase change processor method for solving a one-dimensional phase change problem with convection boundary," Renewable Energy, Elsevier, vol. 35(8), pages 1688-1695.
    • Handle: RePEc:eee:renene:v:35:y:2010:i:8:p:1688-1695
    DOI: 10.1016/j.renene.2010.01.016
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    Citations

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    Cited by:

    1. Halawa, E. & Saman, W., 2011. "Thermal performance analysis of a phase change thermal storage unit for space heating," Renewable Energy, Elsevier, vol. 36(1), pages 259-264.
    2. Wang, Huiru & Liu, Zhenyu & Wu, Huiying, 2017. "Entransy dissipation-based thermal resistance optimization of slab LHTES system with multiple PCMs arranged in a 2D array," Energy, Elsevier, vol. 138(C), pages 739-751.
    3. Alicia Crespo & Gabriel Zsembinszki & David Vérez & Emiliano Borri & Cèsar Fernández & Luisa F. Cabeza & Alvaro de Gracia, 2021. "Optimization of Design Variables of a Phase Change Material Storage Tank and Comparison of a 2D Implicit vs. 2D Explicit Model," Energies, MDPI, vol. 14(9), pages 1-15, May.
    4. Kalaiselvam, S. & Parameshwaran, R. & Harikrishnan, S., 2012. "Analytical and experimental investigations of nanoparticles embedded phase change materials for cooling application in modern buildings," Renewable Energy, Elsevier, vol. 39(1), pages 375-387.
    5. Castell, A. & Solé, C., 2015. "An overview on design methodologies for liquid–solid PCM storage systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 289-307.
    6. Mosaffa, A.H. & Garousi Farshi, L., 2016. "Exergoeconomic and environmental analyses of an air conditioning system using thermal energy storage," Applied Energy, Elsevier, vol. 162(C), pages 515-526.
    7. Mosaffa, A.H. & Garousi Farshi, L. & Infante Ferreira, C.A. & Rosen, M.A., 2014. "Energy and exergy evaluation of a multiple-PCM thermal storage unit for free cooling applications," Renewable Energy, Elsevier, vol. 68(C), pages 452-458.
    8. Chen, Xiaoming & Zhang, Quan & Zhai, Zhiqiang John & Ma, Xiaowei, 2019. "Potential of ventilation systems with thermal energy storage using PCMs applied to air conditioned buildings," Renewable Energy, Elsevier, vol. 138(C), pages 39-53.
    9. Waqas, Adeel & Ud Din, Zia, 2013. "Phase change material (PCM) storage for free cooling of buildings—A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 18(C), pages 607-625.
    10. Li, Y.Q. & He, Y.L. & Song, H.J. & Xu, C. & Wang, W.W., 2013. "Numerical analysis and parameters optimization of shell-and-tube heat storage unit using three phase change materials," Renewable Energy, Elsevier, vol. 59(C), pages 92-99.
    11. Amin, N.A.M. & Belusko, M. & Bruno, F., 2014. "An effectiveness-NTU model of a packed bed PCM thermal storage system," Applied Energy, Elsevier, vol. 134(C), pages 356-362.

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