Análisis termoenergético del sistema de generación de vapor de una central térmica de 49 MW
Bibliographic record
Abstract
In the work carries out a comprehensive thermo-energetic analysis of the steam generation system of a 49 MW thermal power plant, which has not been rigorously studied from an energy point of view. In a algorithm synthesizes the methodology for calculating the gross thermal and exergetic performances of the boilers that comprise it, aspects that have not been interrelated in previous studies. The results show a high degree the harnessing of thermal energy and a low capacity for using the exergy available in the facilities, caused by the deterioration of some of its operationals parameters and by irreversibilities inherent in the process of transforming water into steam. The thermal and exergetic yields of the system amounted to 90.106 and 45.491%, respectively. The proposed algorithm foresees the calculation and the comparison of the real thermo-energetic parameters of the boilers with the nominal ones and the scientific and technical-organizational actions to develop out to achieve superior thermo-exergetic performances. Its future implementation will take into account the analysis of the net thermal yields, the economic-environmental indicators and the energy-operational optimization of the boilers.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 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) | 0.003 | 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".