Optimization of finger spacing for concentrator photovoltaic cells under non-uniform illumination using SPICE
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Bibliographic record
Abstract
Concentrator photovoltaic (CPV) technology has come a long way, with multi-junction solar cell efficiencies now reaching up to 44.4%. Front contact grid design, crucial for improving efficiency, is typically performed for uniform illumination, but this does not account for the real world conditions of non-homogeneous irradiance distributions. In this work, we aim to optimize finger spacing for a linear grid under non-uniform illumination by using Simulation Program with Integrated Circuit Emphasis (SPICE) analysis. A two-dimensional distributed resistance model is used to simulate a lattice matched, triple-junction solar cell whose design parameters are determined by curve-fitting current-voltage curves from each sub-cell to a two-diode equivalent-circuit model. Cell efficiency is considered to be a unimodal function that varies with finger spacing so a golden-section search optimization algorithm is used to determine the optimal spacing. Various Gaussian profiles are used to simulate non-uniform illumination and their effects on device performance. Designs based on optimal spacing for non-uniform illumination show an efficiency increase of more than 0.5% absolute at concentrations greater than 500 suns.
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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) | 0.000 | 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 it