Optical performance of a seasonally adaptive asymmetric compound parabolic concentrator
Bibliographic record
Abstract
Stationary concentrators have the capabilities to supply power in residential and commercial applications, where typical required temperatures range between 20° and 400°. To advance the performance and possible applications of these devices, this work presents an innovative asymmetric stationary concentrator, called Seasonally Adaptive ACPC, which maximizes concentration by semi-annual solar pseudo-tracking. The concentrator is described, and its performance is analyzed using theoretical, numerical, and experimental methods. The former includes the adaptation of the source-acceptance map matching method for ACPCs and the theoretical performance of possible designs; and numerical studies used Monte Carlo ray tracing to investigate optical performance parameters. Experimental efforts involved measuring the optical performance of a practically relevant prototype (ϑin,1=0°, ϑin,2=90°, and a Cg=2×) in Toronto, Canada, using an innovative flux mapping procedure. Through this work, the Seasonally Adaptive ACPC was found to be a low-cost alternative to meet low to medium temperature heating demands at high latitudes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 source (direct Gemma or distilled Codex), 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".