Abstract
This study compares four computational fluid dynamics (CFD) models, i.e. k-ε, RSM, SAS, and LES, to simulate temperature non-uniformity during hydrogen tank refuelling. Three grids with a total number of control volumes of 64k, 363k, and 2.9 M were used. The maximum dimensionless wall distances, y +, were 80, 5 and 2.5, respectively. The predictive capability of the models was assessed by recommended statistical indicators using ten thermocouple locations during 620 s of the experiment. The comparative analysis demonstrated a better predictive capability of temperature non-uniformity and stratification by the LES model and a shorter simulation time. It is concluded that meshes with y + larger than 80 would overpredict the average hydrogen temperature while meshes with y +<5 provide a good simulation accuracy. The results underline the importance of the turbulence model choice and the numerical grid resolution for proper prediction of temperature non-uniformity during hydrogen tank refuelling.
| Original language | English |
|---|---|
| Pages (from-to) | 715-728 |
| Number of pages | 14 |
| Journal | International Journal of Hydrogen Energy |
| Volume | 70 |
| Early online date | 20 May 2024 |
| DOIs | |
| Publication status | Published (in print/issue) - 12 Jun 2024 |
Bibliographical note
Publisher Copyright:© 2024 The Authors
Funding
This research was co-funded by Invest NI Centre for Advanced Sustainable Energy (CASE) \u201CBreakthrough safety technologies for hydrogen vessels from Northern Ireland\u201D (No. A1135), Innovate UK CMDC-2 project \u201CHydrogen Fuel Cell Range Extender\u201D (No. 10041047), Fuel Cells and Hydrogen 2 Joint Undertaking (now Clean Hydrogen Joint Undertaking) through the SH2APED \u201CStorage of hydrogen: alternative pressure enclosure development\u201D projects (No. 101007182). This Joint Undertaking receives support from the European Union's Horizon 2020 research and innovation programme, Hydrogen Europe, and Hydrogen Europe Research. This work was also supported by the Department for Transport's UK SHORE Programme and the Engineering and Physical Sciences Research Council [grant number EP/Y024605/1]. The authors are also grateful to the resources provided through the Northern Ireland High-Performance Computing (NI-HPC) facility (grant EP/T022175/1, https://www.ni-hpc.ac.uk/Kelvin2).
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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SDG 13 Climate Action
Keywords
- CFD
- Hydrogen refuelling
- Statistical analysis
- Hydrogen safety
- Turbulence model
- Storage tank
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