Advanced petroleum coke oxy‐combustion power generation with carbon capture and sequestration: Part <scp>II—E</scp> nvironmental assessment and cost of <scp> CO <sub>2</sub> </scp> avoided
Bibliographic record
Abstract
Abstract The life‐cycle environmental impact assessment and cost of the CO 2 avoided (CCA) of a petroleum coke oxy‐combustion electric power generation technology operated with and without carbon capture and sequestration (CCS) are discussed. In an extension of our work on the design and economics presented in Part I, the environmental assessment was carried out for three candidate petroleum coke oxy‐combustion designs: petcoke oxy‐combustion operated without carbon capture and sequestration (CCS); petcoke oxy‐combustion operated with CCS; and petcoke oxy‐combustion with CO 2 purification by distillation and CCS. The environmental life‐cycle assessment of the designs was computed using both TRACI 2.1 midpoint and ReCiPe 2016 midpoint and endpoint methods. Using a levelized cost of electricity, the CCA was also employed as a performance metric for each of the designs. The results showed a life‐cycle GWP of 1089 kgCO 2 eq/MWh, 17.32 kgCO 2 eq/MWh, and 75.65 kgCO 2 eq/MWh for the petcoke oxy‐combustion design operated without CCS, petcoke oxy‐combustion design operated with CCS, and petcoke oxy‐combustion with CO 2 purification by distillation and CCS, respectively. It was also found that acidification potential and particulate matter emissions were higher for the petcoke oxy‐combustion design operated without CCS due to the venting of SO 2 to the atmosphere. With a levelized cost of electricity between $90.94/MWh and $102.8/MWh, the CCA of the CCS‐enabled designs were between $10.43/tCO 2 eq and $24.35/tCO 2 eq, which is competitive with most other carbon capture options for large‐scale fossil‐based power plants. When the cost parameters were varied at the worst‐case scenario, the highest CCA observed was $115.9/tCO 2 eq.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".