Estudio de carga en la Unidad Empresarial de Transporte Taller ESUNI de Moa
Bibliographic record
Abstract
Se presenta un diagnóstico energético de la Unidad Empresarial Taller ESUNI de Moa, con el objetivo de caracterizar las cargas instaladas y analizar el bajo factor de potencia en su subestación de 440 V. Mediante mediciones eléctricas y el análisis de la facturación, se identificó que el factor de potencia promedio es de 0.3, por debajo del mínimo requerido de 0.9, lo que genera penalizaciones que representan en promedio el 57 % del importe total de la factura eléctrica. La causa principal radica en la operación a baja carga de motores asíncronos, inherentemente inductivos. Se concluye que la solución técnicamente viable es la instalación de un banco de capacitores automáticos para compensar la energía reactiva, mejorar el factor de potencia por encima de 0.92 y eliminar las penalizaciones. Adicionalmente, se recomiendan medidas técnico-organizativas como la actualización del diagrama unifilar y mejoras en la infraestructura para optimizar la eficiencia energética de la instalación.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".