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<p>This study investigates numerical simulation methods for latent thermal energy storage in packed bed systems using different heat transfer fluids, such as water and air. The methods are categorized into three approaches: continuous bed, discontinuous dispersed balls, and a combination of both. Experimental results indicate that continuous bed methods (Type 1 and Type 3) provide acceptable predictions for water but show deviation when using air. While the discontinuous method (Type 2) offers more precision, its high computational cost makes it less suitable for large-scale applications. Furthermore, a new effective thermal conductivity for simulating phase change material (PCM) melting is introduced, highlighting its importance in accurate thermal modeling. The study emphasizes the significance of void spaces within PCM containment in simulation discrepancies. It also presents an efficient explicit discretization technique enhanced by the Saul’yev method and a dual time-step approach, facilitating faster and more effective modeling of large industrial packed beds. This research offers valuable insights for selecting appropriate modeling methods in packed bed systems.</p>

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Different methods for simulation of packed bed latent thermal energy storage systems: a critical study

  • 期刊论文

  • 发表日期：

    2026年1月6日

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  • H. Nemati

摘要

This study investigates numerical simulation methods for latent thermal energy storage in packed bed systems using different heat transfer fluids, such as water and air. The methods are categorized into three approaches: continuous bed, discontinuous dispersed balls, and a combination of both. Experimental results indicate that continuous bed methods (Type 1 and Type 3) provide acceptable predictions for water but show deviation when using air. While the discontinuous method (Type 2) offers more precision, its high computational cost makes it less suitable for large-scale applications. Furthermore, a new effective thermal conductivity for simulating phase change material (PCM) melting is introduced, highlighting its importance in accurate thermal modeling. The study emphasizes the significance of void spaces within PCM containment in simulation discrepancies. It also presents an efficient explicit discretization technique enhanced by the Saul’yev method and a dual time-step approach, facilitating faster and more effective modeling of large industrial packed beds. This research offers valuable insights for selecting appropriate modeling methods in packed bed systems.