Sustainable Hydrogen Production, Storage, and Distribution – A Systematic Review for Newfoundland and Labrador
Bibliographic record
Abstract
Growing concerns over climate change and reliance on fossil fuels bring further attention towards sustainable energy sources. This has been amplified by the recent Russia-Ukraine war. Hydrogen from renewable sources is a promising response to the existing concerns. Newfoundland and Labrador (NL) is an encouraging location for producing hydrogen due to its natural resources. Furthermore, its geopolitical situation positions NL to be superbly situated to help alleviate the current energy crisis in Europe. To have sustainable hydrogen production and supply from NL it is essential to utilize the available resources. Therefore, this paper systematically reviews all scientific papers on NL hydrogen production, storage, and distribution. The papers are reviewed from hydrogen sources, production methods and technologies, storage methods, transportation, transmission, optimization, and sustainability perspectives across NL. Finally, some insights for academics, government, and industry sectors are provided based on our results.
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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 | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.000 | 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".