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Record W2751857642 · doi:10.1063/1.5001402

A 1000x utility-scale parabolic frame tracker for multidisciplinary CPV research

2017· article· en· W2751857642 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueAIP conference proceedings · 2017
Typearticle
Languageen
FieldEngineering
Topicsolar cell performance optimization
Canadian institutionsInstitut interdisciplinaire d'innovation technologiqueUniversité de Sherbrooke
FundersNational Research Council CanadaNatural Sciences and Engineering Research Council of CanadaNational Research FoundationUniversité de Sherbrooke
KeywordsFocus (optics)OpticsMaterials scienceScale (ratio)Computer scienceMechanical engineeringPhysicsEngineering

Abstract

fetched live from OpenAlex

A dual-dish concentrating solar research system is introduced in which multiple low-cost single-axis-focusing mirrors have their foci overlapped into a single intense compound focus. A CPV receiver for such a focus is also introduced, with cooled secondary mirrors and a Dense Receiver Array (DRA) with shingled cell rows to eliminate inter-row gaps. CTE-matched micro-channel cold plates are used for low-resistance cooling and fin tube radiators provide ample heat-rejection surface. The ratio of the DRA’s cell area to focusing mirrors’ area allows reaching a concentration factor of 1000x. A cost breakdown is presented and discussed and areas that still need significant improvement to be able to compete with flat panel costs are identified, along with research works in progress in those areas.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.935
Threshold uncertainty score0.861

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.075
GPT teacher head0.337
Teacher spread0.262 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it