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Record W2559642803 · doi:10.1109/iemcon.2016.7746365

Sizing of a hybrid power system for a house in Libya

2016· article· en· W2559642803 on OpenAlexaff
Gamal Alamri

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnergy
TopicHybrid Renewable Energy Systems
Canadian institutionsMemorial University of Newfoundland
FundersGeneral Electric
KeywordsWind speedWind powerElectrical engineeringTurbineAutomotive engineeringBattery (electricity)Cost of electricity by sourceRoofSizingHybrid powerPhotovoltaic systemEnvironmental scienceEngineeringPower (physics)MeteorologyMarine engineeringElectricity generationAerospace engineeringCivil engineeringGeographyPhysics

Abstract

fetched live from OpenAlex

This paper presents the design of a hybrid power system for a house in Tripoli-Libya using homer software and BEopt. According to general electrical company in Libya, the house consumes 7845kWh/year, and total area of the house is (1962ft2). The house is simulated using BEopt software. Insulated roof and walls are selected to reduce cooling demand. The hybrid power system proposed consists of a wind turbine, PV panels, and battery storage used when there is no sun and wind energy. That region has an average annual wind speed is above 4 m/s and the radiation of sun is about 7.1 kilowatt hours per square meter per day (kWh/m <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> /day). The proposed PV/wind hybrid power system will be installed on the house. The results show that the optimum configuration meets the house requirements. The lowest levelized cost energy is obtained for a system consisting of 2.8kW PV modules, three 400W wind generator and storage batteries using 56, 200Ah units.

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 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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.437
Threshold uncertainty score0.552

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)0.0000.000

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 head0.011
GPT teacher head0.215
Teacher spread0.203 · 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 teacher head, 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

Citations4
Published2016
Admission routes1
Has abstractyes

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