Improvement of Oxy-FBC Using Oxygen Carriers: Concept and Combustion Performance
Bibliographic record
Abstract
Fluidized bed combustors generally exhibit good mixing characteristics, but there can be localized regions where there is insufficient oxygen to fully combust the fuel. Through incorporation of an oxygen carrier into a high pressure, pulverized fuel based oxy-fluidized bed combustor it should be possible to reduce or eliminate regions with insufficient oxygen present to complete combustion. In this paper we investigate the use of a Canadian ilmenite ore based oxygen carrier to enhance combustion performance and sulfur capture for atmospheric and pressurized oxy-FBC systems. The paper includes a description of potential pressurized system configurations with a discussion of related benefits and potential challenges. CanmetENERGY’s 50 kW th pilot scale atmospheric pressure oxy-fluidized bed combustor (oxy-FBC) was used to demonstrate the concept of oxygen carrier assisted combustion using two Canadian coals with under bed fuel and sorbent injection. The CO emissions were significantly reduced by replacing the inert bed material with the oxygen carrier (ilmenite ore); with CO concentrations in the flue gas reduced up to 30 vol % and 13 vol % when burning Highvale coal and Poplar River coal, respectively. The improvement in combustion was even more pronounced in the bed region, in particular, under conditions of low excess oxygen and/or low bed temperature. Analysis of solid samples (XRD) and flue gas condensates (acidity) has provided further evidence of the oxygen carrier improving combustion performance and reducing the risk of bed agglomeration.
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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 | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".