Deuterium Stream Management Leaving the LPCE Column in a CECE Process for Heavy Water Detritiation
Bibliographic record
Abstract
In heavy water detritiation using the combined electrolysis and catalytic exchange (CECE) process, deuterium leaving the electrolyzer is fed to the bottom of the liquid-phase catalytic exchange column (LPCE) in which tritium exchanges between the tritiated deuterium gas (moving upward in the LPCE column) and D2O liquid (moving downward in the LPCE column). Once the deuterium gas leaves the LPCE column, typically a trickle bed recombiner (TBR) is used to convert the incoming deuterium gas into the heavy water.In this study a different approach is presented in which instead of using a TBR, an additional LPCE column is used. In the additional LPCE column, deuterium gas is scrubbed with demineralized light water. This process alternative has many advantages over using a TBR. First, the oxidation of isotopic hydrogen is highly exothermic and requires a separate water-cooling circuit to maintain the temperature within the TBR. Second, a TBR requires a relatively complex internal design to ensure proper distribution of the gas, otherwise catalyst burnup may occur. Using a LPCE column instead of a TBR eliminates these complications. This paper presents a high-level layout of the process plant in which a LPCE column is used instead of a TBR. Column modeling and results are also presented.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".