Abstract
Well characterized experimental data for consequence model validation is important in progressing the use of liquid hydrogen as an energy carrier. In 2019, the Health and Safety Executive (HSE) undertook a series of liquid hydrogen dispersion and combustion experiments as a part of the Pre-normative Research into the Safe Use of Liquid Hydrogen (PRESLHY) project. In partnership between the National Renewable Energy Laboratory (NREL) and HSE, time and spatially varying hydrogen concentration measurements were made in 25 dispersion experiments and 23 congested ignition experiments associated with PRESLHY WP3 and WP5, respectively. These measurements were undertaken using the hydrogen wide area monitoring system developed by NREL. During the 23 congested ignition experiments, high variability was observed in the measured explosion severity during experiments with similar initial conditions. This led to the conclusion that wind, including localized gusts, had a large influence on the dispersion of the hydrogen, and therefore the quantity of hydrogen that was present in the congested region of the explosions. Using the hydrogen concentration measurements taken immediately prior to ignition, the hydrogen clouds were visualized in an attempt to rationalize the variability in overpressure between the tests. Gaussian process regression was applied to quantify the variability of the measured hydrogen concentrations. This analysis could also be used to guide modifications in experimental designs for future research on hydrogen combustion behavior.
Original language | American English |
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Number of pages | 16 |
State | Published - 2024 |
Event | 10th International Conference on Hydrogen Safety (ICHS 2023) - Quebec City, Canada Duration: 19 Sep 2023 → 21 Sep 2023 |
Conference
Conference | 10th International Conference on Hydrogen Safety (ICHS 2023) |
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City | Quebec City, Canada |
Period | 19/09/23 → 21/09/23 |
NREL Publication Number
- NREL/CP-5700-85818
Keywords
- HSR&D
- hydorgen
- kriging
- safety
- sensor
- TNO
- visualization