Dataset: Artificial intelligence - computational fluid dynamics study close contact melting of phase change materials in a finned shell-tube energy storage

Published: 15 September 2025| Version 1 | DOI: 10.17632/7ht7jcpnjj.1
Contributors:
, Nashmi H. Alrasheedi,
,
, Khalil Hajlaoui,
,
, Mehdi Ghalambaz

Description

The dataset was created from computational fluid dynamics code. Seven distinct melting scenarios were taken into account leading to 173,077 data samples. The dataset includes four text-based variables—Port_(i,PCM), Port_(o,PCM), L_(i,HWF), and L_(o,HWF)—which we converted into numerical values through label encoding.

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Categories

Thermal Energy Storage, Phase Change Material, Deep Neural Network, Thermal Energy Storage below 100°C

Funders

Related Links

Article
https://doi.org/10.1016/j.csite.2025.107015
is source of this dataset

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