3-D CFD Simulation of Hydrogen Dispersion From a Fuel Cell Vehicle in an Indoor Environment
Bibliographic record
Abstract
In order to reduce green house gases, hydrogen fueled vehicles are expected to be commercialized in the near future. Hydrogen is nontoxic, but it is flammable. A relatively low ignition energy can ignite a hydrogen-air mixture when the concentration of hydrogen is within a flammable range. Therefore safety concerns related to possible leakage from hydrogen fueled vehicles need to be addressed. In this study, we focus on the distribution of the lower flammability limit (LFL) of a hydrogen cloud when hydrogen is released from a fuel cell vehicle. CFD techniques, using FLUENT, are applied to the simulation of hydrogen dispersion from a parked vehicle’s tailpipe. We analyzed several hydrogen release scenarios to investigate the hydrogen cloud formation, thermal effects and transient behaviors. We also simulated the effects of the inclination of the garage ceiling and forced ventilation on hydrogen dispersion. We found that the configuration of indoor space affects the hydrogen cloud formation in certain ways. The simulation results can be further applied to define the codes, standards and recommended safety practices related to possible hydrogen leakage and the risk of ignition.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".