Blue and Green Hydrogen Production, Distribution, and Supply for the Glass Industry and the Potential Impact of Hydrogen Fuel Blending in Glass Furnaces
Bibliographic record
Abstract
The global movement towards decarbonization spans across all industries, including Glass manufacturing. Hydrogen is expected to play a key role in decarbonizing industry. To make it easy to differentiate between the different hydrogen production methods/carbon intensities, industry has adopted the practice of referring to hydrogen using various colors. The most used colors are grey, blue, and green. Blue hydrogen is made from a hydrocarbon source. Green hydrogen is produced from a renewable energy source. Air Products has made significant investments in blue and green hydrogen and ammonia production. Currently, there are three major projects in the Middle East, Canada, and the United States in various stages of completion. The chapter also discusses some aspects of these projects including production, distribution, and supply methods. In addition, results using hydrogen as a fuel to replace natural gas combustion with existing oxy-fuel burner technology are presented.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".