INTEGRATED SYSTEM TO CONTROL PRIMARY PM 2.5 FROM ELECTRIC POWER PLANTS
Bibliographic record
Abstract
The performance tests at E.C. Gaston showed how the Advanced ElectroCore field prototype performance changed as a function of the gas flow, inlet loading and the voltage applied to the central electrode in the separator. With the optimum voltage applied to the electrode, the unit achieved a maximum efficiency of 96.38 percent and a minimum outlet loading of 0.0021 grains/dscf while operating with a specific separating area (SSA) of 100 square feet per thousand acfm. The minimum outlet loading translates to about 0.00575 lb{sub m}/million Btu or less than one fifth of the current NSPS standard of 0.03 lb{sub m}/million Btu. The highest efficiency for the upstream ESP was about 99.75 percent. Together these two systems are capable of removing 99.991 percent of the particulate matter coming from the uncontrolled boiler. This efficiency is higher than the target efficiency of 99.99 percent and the outlet loading of 0.00575 lb{sub m}/million Btu is almost half of the target emission rate of 0.01 lb{sub m}/million stated in the program objectives. In terms of efficiency and outlet concentration, the tests showed that the Advanced ElectroCore can meet or exceed the program goals. The mercury capture tests were conducted using the Ontario Hydro method. When injection activated carbon at the rate of 7 pounds per million cubic feet of gas, the measured removal efficiency was about 90 percent. At the time of this writing, LSR was unable to obtain the full report on the mercury testing. If it does become available, it will be included as an appendix to this report. The results show that the ElectroCore has been successfully scaled up by a factor of 12 from the 500 acfm unit tested at Alabama Power Company's Plant Miller in the summer of 1997. The addition of the central electrode has improved the separation efficiency when inlet loadings get very low.
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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) | 0.001 | 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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".