Design of Biocarbon Byproduct Utilization Processes for Ironmaking and Steelmaking
Bibliographic record
Abstract
High Resolution Image Download MS PowerPoint Slide One method of reducing life cycle carbon emissions in steelmaking is using biocarbon to replace coal as a carbon source. However, biocarbon production has several challenges; two of these are increased cost compared to coal and the production of corrosive condensable byproducts. This work includes novel process designs and eco-technoeconomic analyses for three methods of byproduct utilization to close the price gap between biocarbon and coal, while also treating the byproducts before they condense. These methods include combustion for heat, electricity generation, and syngas production through autothermal steam reforming. All utilization methods were found to be financially viable. Based on utility costs and emissions in southern Ontario, Canada, the net added value of byproducts is up to 750 CAD 2024, and net carbon emissions savings are up to 4 tons CO 2 e for each ton of biocarbon produced, compared to a scenario where value is not gained from the byproducts.
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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) | 0.001 | 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 | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".