Performance Simulation of Combined Cycle with Kalina Bottoming Cycle
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The Kalina cycle has potential for improved performance re-garding electrical ef ficiency, specific power output and cost of electricitycompared with conventional technology because the mixture of workingfluids enables ef ficient energy recovery. Thermodynamic analysis hasbeen carried out for combined cycle with the Kalina bottoming cycle.In this work, the identi fied key parameters for the Kalina cycle are tur-bine inlet condition (pressure, temperature and concentration), separatortemperature and ambient temperature. The effect of these parameters onexergy ef ficiency of combined cycle is examined. The combined cycleefficiency increases with the increase in the turbine inlet pressure, andthe same decreases with increases in ambient temperature, turbine inlettemperature and its concentration. Heat recovery from exhaust decreaseswith increases in the separator temperature, and it does not alter theoutput of the combined cycle. The ef ficiency of the cycle is very sensi-tive to the turbine inlet concentration and ambient temperature.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it