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Record W4253106763 · doi:10.5383/ijtee.13.02.008

A Study of Solar Energy Potential in Sapele, Nigeria

2017· article· en· W4253106763 on OpenAlexvenueno aff
Ejiroghene Kelly Orhorhoro, Oghenero Wilson Orhorhoro, A.E. Ikpe

Bibliographic record

VenueInternational Journal of Thermal and Environmental Engineering · 2017
Typearticle
Languageen
FieldEnvironmental Science
TopicEnergy and Environment Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsPhotovoltaic systemSolar energyMeteorologyEnvironmental scienceVoltageAtmospheric sciencesElectrical engineeringSolar maximumRadiationSolar cycle 22PhysicsEngineeringOpticsSolar cycle

Abstract

fetched live from OpenAlex

In this paper, a study was carried out on solar energy potential in Sapele, Nigeria. Five photovoltaic solar panel (cell) connected in series where used to generate data on maximum and minimum temperature readings, voltage and current readings for a period of 50 days. The result obtained shown that a mean average temperature readings of 30.01 °C, mean average voltage readings of 14.23 V and mean average current reading of 4.206 A were obtained. The global solar radiation and extraterrestrial solar radiation were calculated as 11.09 kwh/m2 /day and 5.31kwh/m2 /day respectively. Considering the average power deposited (0.060 kW and 0.180 kWh) daily, enough energy can be obtained from solar power system and this can help to solve part of Nigeria energy crisis.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
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 head0.005
GPT teacher head0.192
Teacher spread0.188 · 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

Citations6
Published2017
Admission routes1
Has abstractyes

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