Integrating Renewable Energy In Alberta: An Examination Of Electricity Cost Impact Of The Proposed Climate Leadership Plan
Bibliographic record
Abstract
Alberta’s Climate Leadership Plan is perhaps the most ambitious undertaking for curbing carbon emissions and promoting renewables in the province. This study evaluates cost of electricity generated under the proposed plan where 30% of the electricity is sourced from renewables, and estimates the emission reduction against a business-as-usual scenario. The feed-in cost of electricity generated is computed by working out asset mix, electricity output and transmission costs under different scenarios. Assuming that the existing renewable facilities continue to generate electricity at current levels, the study reveals the Climate Leadership plan’s carbon mitigation target can be met by sourcing 30% of the electricity from wind. Meeting the emissions reductions target would result in 11% to 60% increase in the cost of electricity generated as compared to the Baseline scenario, depending on whether it is sourced from wind or PV respectively. Under the Climate Leadership plan GHG emissions are projected to reduce by 18 megatonnes vis-à-vis baseline scenario.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".