A Eulerian Numerical Model to Predict the Enhancement Effect of the Gravity-Driven Motion Melting Process for Latent Thermal Energy Storage

A Eulerian Numerical Model to Predict the Enhancement Effect of the Gravity-Driven Motion Melting Process for Latent Thermal Energy Storage

Latent thermal energy storage (LTES) devices can efficiently store renewable energy in thermal form and guarantee a stable-temperature thermal energy supply. The gravity-driven motion melting (GDMM) process improves the overall melting rate for packaged phase-change material (PCM) by constructing an...

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Bibliographic Details
Main Authors: Shen Tian, Bolun Tan, Yuchen Lin, Tieying Wang, Kaiyong Hu
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Entropy
Subjects:
gravity-driven motion
melting process
phase-change material
melting rate enhancement
numerical modeling
Online Access:https://www.mdpi.com/1099-4300/26/2/175

Internet

https://www.mdpi.com/1099-4300/26/2/175

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