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Wind-Induced Pressures on Solar Panels Mounted on Residential Homes

2013· article· en· W2074417454 on OpenAlexaff
Aly Mousaad Aly, Girma Bitsuamlak

Bibliographic record

VenueJournal of Architectural Engineering · 2013
Typearticle
Languageen
FieldEnvironmental Science
TopicWind and Air Flow Studies
Canadian institutionsWestern University
FundersFlorida International University
KeywordsRoofWind tunnelWind engineeringCladding (metalworking)Environmental scienceFlat roofWind directionStructural engineeringEngineeringPhotovoltaic systemWind speedMeteorologyGeotechnical engineeringMarine engineeringAerospace engineeringMaterials scienceElectrical engineeringGeography

Abstract

fetched live from OpenAlex

This paper presents wind load investigations on solar panel modules mounted on low-rise buildings with gable roofs that have two distinct slopes. Wind loads on the solar panels mounted on several zones of the roofs were systematically investigated in a boundary-layer wind tunnel for different wind directions. The results from the wind-tunnel investigation are compared with ASCE provisions for residential bare roofs. The comparison shows a good agreement with the ASCE standard provisions for the main force resisting system. Nevertheless, the cladding loads on individual modules may be lower or higher than those on the corresponding area of a bare roof (depending on their location and array configuration and the roof’s slope). Avoiding the roof critical zones (zones 3 and 2) is recommended to avoid high net minimum pressures acting on the solar panel modules. Solar panels mounted in zone 1 are locally subjected to higher suction at their outer edges. This is most likely attributed to the effect of a raised secondary roof formed over the main roof. The impact of the secondary roof effects is noticeable for small modules compared with larger modules.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

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)0.0020.000

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 head0.007
GPT teacher head0.207
Teacher spread0.200 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations50
Published2013
Admission routes1
Has abstractyes

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