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Record W3041488260

An Analysis of the Benefits of Vertical Solar Photovoltaic Systems and the Effect of Artificial Ground Cover on Energy Output

2018· dissertation· en· W3041488260 on OpenAlexaboutno aff
Faisal Salama

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicEnergy and Environmental Systems
Canadian institutionsnot available
Fundersnot available
KeywordsPhotovoltaic systemCover (algebra)Artificial lightSolar energyEnvironmental scienceEngineering physicsEngineeringElectrical engineeringPhysicsMechanical engineeringAstronomy
DOInot available

Abstract

fetched live from OpenAlex

PV installations usually involve tilting PV systems to optimal angles for light capture and mounting them on building rooftops or ground-racks. Vertically mounted PV systems are less commonly developed. This project examined the benefits of vertically mounted PV systems in southern Saskatchewan. The specific objectives of this project were (1) to quantify the influence of artificial white ground cover on the electricity output from a vertically mounted PV system , (2) to frame the efficiency of vertical PV systems in the context of conventionally tilted PV systems in a region prone to snowfall, and (3) to determine the beneficial applications of vertical PV systems by linking the findings from this study to local industries. Recommendations from this project include the following: (1) to enhance energy production by deploying vertically mounted PV systems adjacent to high albedo ground surfaces or outfitting vertically mounted PV installations with a high albedo ground surface cover, such as white polyethylene plastic; and (2) to consider vertically mounted PV systems as an option for renewable energy generation, particularly in northern regions that experience snowfall and when conditions do not favour optimum PV installations.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.040
Threshold uncertainty score0.079

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.010
GPT teacher head0.253
Teacher spread0.243 · 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 designObservational
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

Citations4
Published2018
Admission routes1
Has abstractyes

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