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Record W2327215975 · doi:10.1061/9780784412848.136

Wind Loads on Solar Collectors and PV Panels on Roofs

2013· article· en· W2327215975 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueStructures Congress 2013 · 2013
Typearticle
Languageen
FieldEnvironmental Science
TopicWind and Air Flow Studies
Canadian institutionsConcordia University
Fundersnot available
KeywordsRoofRenewable energyPhotovoltaic systemWind tunnelWind engineeringSolar energyWind powerEngineeringPhotovoltaicsMarine engineeringEnvironmental scienceArchitectural engineeringCivil engineeringStructural engineeringAerospace engineeringElectrical engineering

Abstract

fetched live from OpenAlex

The increased interest on renewable energy resources had a direct effect on the use of solar collectors and photovoltaics (PV) on residential and other structures. Current building codes and design standards offer little assistance to the designers regarding provisions for wind-induced loading. The scope of this paper is to address the wind-induced loads applied on particular rooftop energy structures. Findings from a study that was carried out in the boundary layer wind tunnel of Concordia University, Montreal are presented. For this study, a 1:200 geometric scale flat roof low-rise building was constructed and instrumented. The building model was equipped with three identical solar panels, which had six pressure taps on each surface. Several configurations were examined by changing the position of the panels on the roof as well as their inclination. The paper presents detailed results from the various configurations and discusses the effect of panel location and inclination.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.748
Threshold uncertainty score1.000

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.001

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 head0.008
GPT teacher head0.210
Teacher spread0.202 · 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