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Record W2770790550 · doi:10.1109/icpet.2017.8

Sizing and Simulation of an Energy Sufficient Stand-alone PV Pumping System

2017· article· en· W2770790550 on OpenAlexaff
W.-A.-D. Sa'id, Hossam Gaber, Abdelkader Mami

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnergy
TopicPhotovoltaic System Optimization Techniques
Canadian institutionsOntario Tech University
Fundersnot available
KeywordsSizingPhotovoltaic systemInduction motorPulse-width modulationControl theory (sociology)InverterTorqueEngineeringMATLABAutomotive engineeringComputer scienceVoltageElectrical engineeringControl (management)Physics

Abstract

fetched live from OpenAlex

In this paper, methods for sizing of PV pumping systems and the simulation of (DTC) Direct Torque Control of induction motor that is used for piloting a water pump supplied by a photovoltaic generator are presented. The sizing of the PV pumping system is based on the calculation of the water needs, the required hydraulic energy and the estimation of available solar power. The best sizing of the PV pumping system may further help in reducing its cost and optimize its efficiency. The proposed system includes a solar panel, a DC/DC converter with MPPT control, a voltage inverter with pulse width modulation (PWM). The Pump is driven by a Three Phase Induction Motor. In order to control the water flow in the pump, Direct torque control of induction machine is used. The simulations are carried out in Matlab/Simulink.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.414
Threshold uncertainty score0.691

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 head0.022
GPT teacher head0.277
Teacher spread0.256 · 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 designSimulation or modeling
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

Citations3
Published2017
Admission routes1
Has abstractyes

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