ICONE19-43635 MODERATOR HEAT-LOSS ANALYSIS OF A CERAMIC-INSULATED RE-ENTRANT SCWR FUEL-CHANNEL
Bibliographic record
Abstract
Two types of SuperCritical Water-cooled Reactor (SCWR) concepts currently under development worldwide are a large Pressure-Vessel (PV) and Pressure-Tube (PT) Reactors. The current reference fuel-channel design for a PT Reactor, the High Efficiency Channel (HEC), consists of a bundle, ceramic layer and pressure tube. While such a design might work, alternative fuel-channel design concepts are under development to explore various options. One such alternative approach is called the Re-Entrant fuel Channel (REC). The REC consists of three tubes, the inner tube (flow tube), pressure tube and an outer tube or calandria tube. Fuel bundles are placed in the inner flow tube. An annulus is formed between the flow and pressure tubes, through which the primary coolant flows. A ceramic insulator is placed between the pressure tube and the outer calandria tube. The coolant flows through the annulus receiving heat through the flow tube from fuel bundles. At the far end, the flow will reverse direction and enter the flow tube, and hence, the fuel-string. The objective of this work is to model the heat loss to the moderator for the proposed REC design and to compare it with that of the reference HEC design. Two different ceramic insulators were used for the analysis, Porous Yttria Stabilized Zirconia (YSZ) and solid Zirconium Dioxide (ZrO_2). The results from the analysis indicate that YSZ is a better insulator for the REC. The total heat loss from the Porous YSZ insulated REC is about 87 kW, which is approximately 1% of the channel's total power, and is 16.3% less than the heat loss in the reference fuel-channel, i.e., HEC. Based on the results from the numerical model, the design of the insulated REC can be optimized to improve its efficiency.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.003 | 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".