NOx CONTROL OPTIONS AND INTEGRATION FOR US COAL FIRED BOILERS
Bibliographic record
Abstract
This is the ninth Quarterly Technical Report for DOE Cooperative Agreement No: DE-FC26-00NT40753. The goal of the project is to develop cost effective analysis tools and techniques for demonstrating and evaluating low NOx control strategies and their possible impact on boiler performance for firing US coals. The Electric Power Research Institute (EPRI) is providing cofunding for this program. This program contains multiple tasks and good progress is being made on all fronts. Various subsystems of BYU's Catalyst Characterization System (CCS) were upgraded this quarter. Work on the CCS hardware and software will continue in the coming quarter. A preliminary test matrix of poisoning experiments in the CCS has been drafted that will explore the effects of at least three poisons: sodium, potassium and calcium. During this quarter, we attempted to resolve discrepancies in previous in situ measurements of catalyst sulfation. Modifications were made to the XPS analysis procedure that allowed analyses of uncrushed samples. Although the XPS and FTIR results are now more consistent in that both indicate that the surface is sulfating (unlike the results reported last quarter), they disagree with respect to which species sulfates. The CEM system for the multi-catalyst slipstream reactor arrived this quarter. Minor modifications to the reactor and control system were completed. The reactor will be shipped to AEP Rockport plant next quarter for shakedown and installation. In a parallel effort, we have proposed to make mercury oxidation measurements across the catalysts at the start of the field test. Pending approval from DOE, we will begin the mercury measurements next quarter.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".