The role of hydrogen in decarbonizing Alberta’s electricity system
Bibliographic record
Abstract
This paper explores the role that hydrogen can play in helping Alberta decarbonize its electricity system. Alberta has an abundance of natural gas resources that can be converted to hydrogen fuel and further used to generate electricity either through a turbine or through a fuel cell. Since Alberta has a significant portion of its current electricity needs supplied by combustion and steam turbines, such turbines can be repurposed to use hydrogen fuels and therefore reduce the amount of stranded assets as the province moves towards lower emissions in the electricity industry. Using hydrogen in the electricity industry can also complement a higher percentage of variable renewable energy resources, like wind and solar, by absorbing excess generation via electrolysis and providing much needed reliability as a peaking product. The carbon price and associated carbon policy in Alberta appears to be a key driver incentivizing hydrogen use in the electricity industry. Our model comparing the marginal costs of natural gas versus hydrogen for electricity production concludes that with the current carbon policy in Alberta and a rising carbon price to $170 per tonne CO2e in 2030, hydrogen has the potential to compete with natural gas as a dominant, "on-demand" power source.
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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 | 0.002 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".