Enhanced CANDU 6: An Upgraded Reactor Product With Optimal Fuel Cycle Capability
Bibliographic record
Abstract
Atomic Energy of Canada Limited (AECL) has two CANDU® reactor products matched to markets: the Enhanced CANDU 6™ (EC6™)[1,] a modern 700 MWe class HWR design, and the Advanced CANDU Reactor™ (ACR-1000™), a 1200 MWe class Gen III+ design. Both reactor types are designed to meet both market-, and customer-driven needs. Some of the new features incorporated into the EC6 reactor include increased power output, optimized maintenance outages, more automated testing and an Advanced Control Room. Lessons learned through feedback obtained from the operating plants have been incorporated into the design, and equipment obsolescence has been addressed. This paper presents basic EC6 design improvements; AECL works with its customers to assess their individual design requirements. Excellent neutron economy, on-power refueling, a simple fuel bundle, and the fundamental CANDU fuel channel design provide the EC6 reactor with unsurpassed flexibility in accommodating a wide range of advanced fuels and fuel cycles in addition to the standard natural uranium. These advanced fuels provide the promise of extending resources, reducing waste and enhancing proliferation resistance.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 0.004 |
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".