Simulation between fixed photovoltaic systems and two-axis trackers considering three different panel technologies
Bibliographic record
Abstract
With the constant increase in the use of photovoltaic generation, researchers and manufacturers are trying to develop increasingly efficient panels to make better use of the sun's energy, which can also be done with the use of solar tracking systems. In this work, a comparison of energy generation between three photovoltaic modules of different technologies is carried out, considering fixed installation and the use of three different two-axis solar tracking systems. To size the systems, an area available for installation of around 100 m² was defined in the city of Medianeira - PR, and the simulations were carried out using the PVsyst software. A photovoltaic panel model was selected with m-si half-cut technology from the manufacturer Amerisolar (used as a reference), a model with CIGS technology from the manufacturer Eterbright, and a model with HIT technology from the manufacturer Canadian Solar. The three solar trackers considered operate with different maximum rotation angles for each of their two axes. It should be noted that the simulations and all calculations were carried out taking into account only the photovoltaic modules and solar tracking systems, without considering the inverter purchase and losses. The Canadian module (CS6R-420H-AG) is the most efficient, has the highest generation, and is also the most expensive. If combined with a two-axis solar tracker, energy generation is even greater. Therefore, if it is found for purchase in Brazil it is the best option. If it is not possible to find this panel model, the arrangement with the Amerisolar module (AS-385) combined with one of the two best solar tracker options is capable of generating more energy than the arrangement with the Canadian panel (more efficient) with fixed installation.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.006 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| 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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".