The Role of Spectrum in Encapsulated Bifacial Silicon Heterojunction Solar Cell Carrier Loss
Bibliographic record
Abstract
The effect of encapsulant on solar cell performance is widely understood to decrease overall cell power output due to absorption in encapsulating layers. In this work, we quantify the effect of encapsulation across the solar spectrum for high-efficiency bifacial silicon heterojunction solar cells in Synopsys TCAD Sentaurus to determine whether encapsulation causes a significant deviation in current loss trends compared to bare cells. Bare and encapsulated cells are modelled between 300-1200 nm and for air masses (AMs) between 1 and 10.0. Comparing current densities relative to bare cells for front illumination, encapsulation results in a 4.3% increase in parasitic absorption under AM1 illumination, and a 3.9% increase at AM10 as a consequence of the red-shift under higher AM. Despite spectral effects influencing current loss, trends of efficiency with AM are the same for bare and encapsulated cells, peaking around AM5. Encapsulated efficiency is decreased by 1.40 ± 0.02 % abs. compared to bare cells between AM1-10. Thus, while carrier transport is influenced by encapsulation in a wavelength-dependent manner, the overall effect on cell efficiency is a uniform offset for all spectra considered.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 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 | 0.000 |
| 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".