MétaCan
Menu
Back to cohort
Record W2345428048

Remote Community Wind-Hydrogen-Diesel Energy Solution: The Case of Ramea Island, Newfoundland

2007· article· en· W2345428048 on OpenAlexaboutno aff
M. Oprisan

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnergy
TopicHybrid Renewable Energy Systems
Canadian institutionsnot available
Fundersnot available
KeywordsWind powerEnvironmental scienceWind hybrid power systemsGrid energy storageDiesel generatorCompressed hydrogenHydrogen storageHydrogen vehicleAutomotive engineeringHydrogen fuelElectric power systemHydrogenDiesel fuelRenewable energyMarine engineeringEngineeringPower (physics)Distributed generationElectrical engineeringFuel cellsChemistry
DOInot available

Abstract

fetched live from OpenAlex

This article gives an overview of a wind-hydrogen- diesel energy system that will be implemented in the isolated electric grid of Ramea Island, located in Newfoundland, Canada. The electrical grid of Ramea Island, which currently relies on diesel and wind power, will incorporate a hydrogen storage and generator system that will allow increasing wind penetration rates and minimize fuel consumption. In this isolated power system, hydrogen will be produced from water electrolysis when the wind power output exceeds the load. The hydrogen gas is then compressed and stored in pressurized storage tanks. When the power output from the wind turbines is not sufficient to feed the isolated load, stored hydrogen utilized for power generation in a combustion engine. This demonstration project that provides a better understanding of the practical implementation of wind-hydrogen systems has the potential to be replicated in more than hundred remote communities across Canada.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.113
Threshold uncertainty score0.227

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.253
Teacher spread0.232 · 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 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

Citations0
Published2007
Admission routes1
Has abstractyes

Explore more

Same topicHybrid Renewable Energy SystemsFrench-language works237,207