The Canadian Clean Power Coalition project
Bibliographic record
Abstract
The Canadian Clean Power Coalition (CCPC) was created in 2001 between ATCO, EPCOR, Luscar, Ontario Power Generation, Nova Scotia Power, SaskPower, TransAlta, the US Electric Power Research Institute (EPRI) and the International Energy Agency (IEA). Phase I of the demonstration project was carried out over the past two years to evaluate technologies for coal-fired power generation that reduce all emissions, including CO{sub 2}, to levels equivalent to or below that of gas-fired plants. Technologies evaluated included integrated gasification combined cycle (IGCC), oxyfuel combustion and amine scrubbing. These technologies were evaluated with three coal types: Eastern bituminous, Western sub-bituminous and lignite coals. Engineering studies determined the capital and operating costs, the cost of electricity produced (with CO{sub 2} removed) and the cost per tonne of CO{sub 2} avoided. These studies also evaluated the potential utilization of CO{sub 2} generated in western Canada for enhanced oil recovery and storage in depleted oil reservoirs or deep saline aquifers. Phase I identified process optimization and technology enhancements to improve the competitiveness of gasification of low rank western Canadian coals. Phase II will optimize the designs and develop business cases for one or more demonstration plants to be in place by 2012. Optimization will include site specific demonstration plants producing clean power as well as steam and hydrogen for the recovery and upgrading of bitumen (polygeneration) and the utilization of CO{sub 2} for enhanced recovery of conventional oil. 5 figs., 4 tabs.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.008 | 0.001 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.070 | 0.011 |
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".