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Record W2560439474 · doi:10.1109/epec.2016.7771795

Tilt angle optimization for maximum solar power generation of a solar power plant with mirrors

2016· article· en· W2560439474 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

Venuenot available
Typearticle
Languageen
FieldEngineering
Topicsolar cell performance optimization
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsRenewable energySolar energyPhotovoltaic systemElectricity generationSolar powerRadiationTilt (camera)Solar mirrorEnvironmental scienceGrid parityOpticsPower (physics)Photovoltaic thermal hybrid solar collectorElectrical engineeringComputer scienceEngineeringDistributed generationPhysicsMechanical engineering

Abstract

fetched live from OpenAlex

Solar power generation is mainly based on direct, diffused and reflected solar radiation. This paper will give an insight of the strategy of the implementation of optimization of the tilt angle of the solar panel to maximize the electricity generation, at presence of solar tracking mirrors. Mirrors will improve the reflected solar radiation, leading to increase the radiation on solar panel. For the purpose of analysis, as the site Toronto in Canada was selected. Renewable energy data was gathered through National Renewable Energy Laboratory (NREL). Energy increment due to the addition of mirrors is discussed and this will assist in taking appropriate measures for planning for the future.

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: Methods · Consensus signal: none
Teacher disagreement score0.744
Threshold uncertainty score0.576

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)0.0010.000

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 head0.016
GPT teacher head0.200
Teacher spread0.184 · 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

Quick stats

Citations16
Published2016
Admission routes2
Has abstractyes

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