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Record W2093601844 · doi:10.1109/epec.2013.6802929

Diesel consumption in a high penetration remote hybrid power system with a pumped hydro and battery storage

2013· article· en· W2093601844 on OpenAlexaffabout
Md. Asif, M. Tariq Iqbal

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnergy
TopicHybrid Renewable Energy Systems
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsAutomotive engineeringDiesel generatorDiesel fuelElectric power systemEnergy storageDiesel engineFuel efficiencyBattery (electricity)Hybrid systemComputer data storageHybrid powerEngineeringComputer scienceElectrical engineeringPower (physics)Computer hardware

Abstract

fetched live from OpenAlex

In this research diesel consumption for three operational modes of a remote Hybrid Power System (HPS) is studied. The system consists of a 925kW diesel engine generator, a proposed pumped hydro storage system, battery bank and dump load. The proposed system is a replacement of the existing inefficient electrolyzer, hydrogen storage and generator system for Ramea Newfoundland. The hybrid system has been modeled with detailed customized function blocks in Simulink. Different modes of diesel engine generator have been studied here to estimate the fuel consumption, no of switching and system frequency deviation. The HPS dynamic model presented here is fast, accurate and includes dynamic and supervisory controllers. The proposed real time control algorithm observes the surplus/missing power in the grid and regulates all components to maintain high penetration of wind energy while maintaining a stable system frequency. This paper presents three different operational modes of diesel engine and HPS simulation results.

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 score0.165
Threshold uncertainty score0.945

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 head0.008
GPT teacher head0.191
Teacher spread0.183 · 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

Citations4
Published2013
Admission routes2
Has abstractyes

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