MétaCan
Menu
Back to cohort
Record W4408599311 · doi:10.1117/12.3046379

Vertical bifacial photovoltaic system field data performance and model validation for various orientations and latitudes

2025· article· en· W4408599311 on OpenAlexaff
Karin Hinzer, Erin M. Tonita, Silvana Ovaitt, Henry Toal, C. D. Pike, Chris Deline

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicSolar Radiation and Photovoltaics
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsPhotovoltaic systemLatitudeField (mathematics)Computer scienceRemote sensingEnvironmental scienceGeologyGeodesyElectrical engineeringEngineeringMathematics

Abstract

fetched live from OpenAlex

Accurate energy yield modelling of photovoltaic systems is essential for the design, financial analysis, and monitoring of solar photovoltaic plants. For bifacial photovoltaic applications, models must also offer robust rear-side irradiance algorithms. Yet, bifacial photovoltaic irradiance models have to be sufficiently validated for east-west vertically oriented systems, where direct beam solar irradiation swaps at solar noon. We validate 4 bifacial irradiance models with field data collected in Golden, Colorado and Fairbanks, Alaska for east-west vertical, north-south vertical, and south-tilted arrays. The 4 bifacial irradiance models used are the System Advisor Model, Bifacial_radiance, bifacialVF, and DUET.

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 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)0.000
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: none
Teacher disagreement score0.989
Threshold uncertainty score0.253

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.030
GPT teacher head0.291
Teacher spread0.261 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same topicSolar Radiation and PhotovoltaicsFrench-language works237,207