Bulletin of the American Physical Society
77th Annual Meeting of the Division of Fluid Dynamics
Sunday–Tuesday, November 24–26, 2024; Salt Lake City, Utah
Session J32: Turbulent Convection
5:50 PM–6:55 PM,
Sunday, November 24, 2024
Room: 255 D
Chair: Hugo Ulloa, Department of Earth and Environmental Science, University of Pennsylvania, Philadelphia, USA.
Abstract: J32.00001 : Assessment of turbulence models for evaporation and stratification in cryogenic storage tanks
5:50 PM–6:03 PM
Presenter:
Johan R Espelund
(Sintef Energy Research)
Authors:
Johan R Espelund
(Sintef Energy Research)
Magnus A Gjennestad
(Sintef Energy Research)
Sindre S Blakseth
(Norwegian University of Science and Technology)
Corinna Netzer
(Norwegian University of Science and Technology)
will increase significantly towards 2050. Green energy carriers are essential for large-
scale storage and transport to manage the intermittency of wind and solar and meet
future energy demands. Liquefied hydrogen ( LH2) is emerging as a promising candidate
for large-scale applications, being a carbon-free energy carrier with sufficiently high
density.
To design efficient and safe venting systems for LH2 tanks for filling, storage and
transport, it is crucial to predict the evaporation rate and the temperature of the resultant
gas phase. This depends on the heat ingress, which varies with the type and size of
the tank. The presence of convective regions in the tank, which may propagate to a
turbulent flow regime, will increase the evaporation rate.
Previous work has mainly focused on pressurization in closed tanks, with no clear
trends in turbulence model selection. This work performs 2D Computational Fluid
Dynamics simulations of the gas phase in a vented LH2 tank using various RANS
turbulence models. Model selection is found to have a large impact on the boil-off rate,
and the addition of a buoyancy production term in the turbulence transport equations
is found to dampen turbulence. The vertical temperature profiles and average boil-off
rates are compared with experimental data.
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