Steady-State Modeling of Methane Fueled SOFC-GT System: Variation of Operational Parameters Throughout the Cycle
Bibliographic record
Abstract
This paper presents results of a steady-state thermodynamic model of a hybrid tubular solid oxide fuel cell (SOFC)-gas turbine (GT) cycle developed using commercial process simulation software, Aspen Plus®. The methane fueled hybrid cycle incorporates a 0-dimensional macro level SOFC model considering three chemical reactions: reaction of H2 with O2 producing H2O, methane steam-reforming reaction, and CO shift reaction. In this paper, all important thermodynamic properties, such as temperature, pressure, mass, volume and molar flow rates, and composition of all major streams in the cycle are investigated for two configurations: cycle with and without anode recirculation. In addition, operational conditions, like power output, specific work, efficiency, and heat duty of all equipments, such as SOFC stack, GT, fuel reformer, compressors, heat exchangers, and pump are evaluated. This work can help in better understanding of hybrid SOFC-GT cycle inner working.
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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) | 0.001 | 0.001 |
| 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 | 0.001 | 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".