Technical and financial assessment of a district heating system for a residential area in Barrancabermeja
Bibliographic record
Abstract
En esta investigación se evalúan dos configuraciones de bombas de calor para suplir el requerimiento energético en sistemas de enfriamiento de 50 hogares en Barrancabermeja. Esto contribuye al protocolo de Montreal para a proteger la capa de ozono, a su vez se alinea a los compromisos del país hacía energías más limpias, reduciendo las emisiones de gases de efecto invernadero, como lo es el CO2. Se plantean objetivos específicos como caracterizar, diseñar conceptualmente una bomba de calor, el cual contemple las heurísticas de diseño y se complemente con simulaciones en Aspen Hysys, y la evaluación del proyecto desde los resultados técnicos obtenidos anteriormente y a través de indicadores financieros como VPN, TIR, ROI y Payback. Los resultados indican que el proyecto se alinea técnicamente con todos los requerimientos y las iniciativas de transición energética, donde a su vez muestra un ahorro económico al emplear estos sistemas de refrigeración centralizada. Se resalta la importancia de seleccionar una adecuada configuración de la bomba de calor dependiendo de los requerimientos de cada caso, asi como el uso del fluido del proceso adecuado para obtener operaciones optimas, los cuales en este caso fueron R450a y R600a.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".