Optimización de la eficiencia de la celda fotovoltaica
Bibliographic record
Abstract
The electrical production efficiency of a solar cell is affected by its operating temperature: when it increases, efficiency decreases. The purpose of this paper is to demonstrate this effect and how the use of heat sinks help to improve the efficiency in photovoltaic cells at temperatures higher than those of design (NOCT 20 ° C). The experiment consisted in measuring environmental temperature, cell’s surface temperature, wind speed, voltage, current and power production of the solar cell while an electronically controlled load was connected(or demanding .01A). These measures were taken from two solar cells, one of them with a heatsink and the other (or another) without it. The measurements allowed us to obtain the current-voltage curve of both cells, which reveals that the cell with heat sink is more efficient in the production of energy than the cell without heat sink in a range between 3.4% -5.4%. The study was developed in the city of Cancún, Quintana Roo, with an average surface temperature of the panel of 40.42 ° C, average solar irradiation of 675 W/m2 and an average wind speed of 1.88 m/s.
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How this classification was reachedexpand
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 teacher head, 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".