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Record W2082089799 · doi:10.1260/030952407783123097

Sizing a Hybrid Power System for Battle Harbour Island in Labrador

2007· article· en· W2082089799 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueWind Engineering · 2007
Typearticle
Languageen
FieldEnergy
TopicHybrid Renewable Energy Systems
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsHarbourRenewable energyBattleSizingDiesel generatorEnvironmental scienceElectricityDiesel fuelEnergy consumptionElectric power systemWind powerEngineeringPower (physics)GeographyElectrical engineeringAutomotive engineeringComputer scienceArchaeology

Abstract

fetched live from OpenAlex

Battle Harbour is a small island in the Labrador Sea just off the South East coast of Labrador. Presently, electricity is generated on Battle Harbour using a diesel generator when the island is populated for 3 summer months per year. Due to its remote location, the fuel cost on Battle Harbour is very expensive. In this research we look into on-site renewable energy resources and conduct a feasibility study of a hybrid power system for Battle Harbour. We present one-year recorded power consumption data, wind, solar energy and hydro resources of the island and discuss options for reducing diesel consumption. Two cases are considered, a) load as usual b) load reduced by 50% after energy conservation measures. The sizing of the hybrid power system for both cases is discussed. This feasibility study indicates that by using a hybrid power system the diesel consumption on the island can be reduced to one sixth of its present annual consumption.

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.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.653
Threshold uncertainty score0.965

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.006
GPT teacher head0.194
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