Performance evaluation of a solar thermoelectric generator with optical concentration under real operating conditions
Bibliographic record
Abstract
Every day, the sun emits a large amount of light energy. This energy is converted into heat and then electricity using solar thermoelectric generators (STEG). In this article, we have simulated a solar thermoelectric generator (TEC-12706) with real conditions in our laboratory. We have calculated the electric current, the voltage and the output power. To validate the simulation results, we carried out experimental studies to assess the effects of solar radiation concentration (optics) on the performance of the STEG. We measured the temperatures of the hot and cold sides, the electric current and the output voltage using an appropriate electronic circuit. We found that for optical concentration ratios 40, 30 and 20, the maximum temperatures on the hot side are 66.5, 54 and 44.75°C, respectively. Under these conditions the maximum powers obtained are 0.04147, 0.01884 and 0.00832 W with external load resistances of 2.42342, 2.14555 and 2.16696 Ω . Simulation of the STEG considered with the values of those obtained from experience gave the following maximum output powers 0.130088, 0.061466 and 0.031803 W for the same external load resistances. The differences between the experimental and simulation results may be due to the unknown properties of the materials used in the module.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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; 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".