Project: Enabling Technologies for Oxy-fired Pressurized Fluidized Bed Combustor Systems (Final Project)
Bibliographic record
Abstract
GTI and team members CanmetENERGY and Linde worked on developing technologies at the pilot-scale to significantly improve the performance and economics of current oxy-fired pressurized fluidized bed combustor systems and reduce scale up risk. The technologies include: an In-bed Supercritical CO2 (SCO2) Heat Exchanger, the objective being to quantify SCO2 heat transfer coefficients and pressure drop in an Oxygen-fired pressurized fluidized bed combustor (Oxy-PFBC) environment to anchor design rules for scale up; Staged Coal Combustion, the objective being to develop design rules for placement of staged coal combustion injectors to appropriately distribute heat throughout the bed to maintain an oxidizing environment and avoid slagging; and an Isothermal Deoxidation Reactor, the objective being to define operational limits on flue gas O2 concentration for an isothermal catalyst bed and demonstrate heat recovery from this deoxidation unit. In-bed SCO2 heat exchanger manifolds were successfully manufactured and installed in the combustor at CanmetENERGY. Staged fuel injectors were designed and fabricated. A task to test an oxygen carrier in the fluidized bed was also planned. A Quasi-Isothermal Deoxidation Reactor (Q-IDR) concept was developed and fabricated, consisting of two adiabatic catalytic reactors with a single inter-stage cooler with SCO2 as the coolant. The project was stopped prior to testing these technologies due to damage to the hardware on the related Oxy-PFBC Phase II project (DE-FE0009448).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.015 | 0.005 |
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".