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Record W4387710730 · doi:10.1016/j.renene.2023.119439

Optical characterization of accumulated dust particles and the sustainability of transmitted solar irradiance to photovoltaic cells

2023· article· en· W4387710730 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueRenewable Energy · 2023
Typearticle
Languageen
FieldEngineering
Topicsolar cell performance optimization
Canadian institutionsnot available
FundersDepartment of Mechanical Engineering, University of AlbertaAmerican University of Sharjah
KeywordsIrradianceSolar irradianceEnvironmental scienceWavelengthPhotovoltaic systemDominance (genetics)Atmospheric sciencesOpticsMaterials scienceOptoelectronicsPhysicsChemistryEcologyBiology

Abstract

fetched live from OpenAlex

This study aims at characterizing the optical properties of dust particles accumulated over time and its sole effect on transmitted solar irradiance. Several glass samples positioned at different orientations were kept in an outdoor environment allowing dust accumulation over a one-year cycle in Sharjah, UAE. A sample of each orientation was collected and examined on a weekly basis throughout the study period. The analysis of accumulated dust density and its effect on irradiance and optical spectrum transmissions through the glass samples is assessed for each sample orientation. Results showed dominance of some surfaces compared to others in terms of dust accumulation and reduction of transmitted optical spectrum against a wavelength range of 210–1029 nm. Throughout the study period of one year, the accumulated dust density and reduction of transmitted irradiance reached a maximum value of 22.6, 4.4, 16.8, 4.8, 6.0 g/m2 and 68.4, 12.3, 63.1, 12.1, 16.4 % for the 0° top, 0° bottom, 25° top, 25° bottom, and 90° surfaces, respectively. Moreover, the results were extended to estimate the reduction in available solar irradiance throughout the one-year study period. It was found that the estimated reduction reached as high as 67 % for the samples installed horizontally at 0° orientation.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.041
Threshold uncertainty score0.332

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.007
GPT teacher head0.197
Teacher spread0.191 · 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