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Record W6987239820

Sizing a Hybrid Power System for Battle Harbour
\nIsland in Labrador

2007· article· en· W6987239820 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueUTAS Research Repository · 2007
Typearticle
Languageen
FieldEnergy
TopicHybrid Renewable Energy Systems
Canadian institutionsnot available
Fundersnot available
KeywordsSizingRenewable energyDiesel generatorElectric power systemHybrid powerHybrid systemElectricityHarbour
DOInot available

Abstract

fetched live from OpenAlex

Battle Harbour is a small island in the Labrador Sea just off the South East coast of Labrador.
\nPresently, electricity is generated on Battle Harbour using a diesel generator when the
\nisland is populated for 3 summer months per year. Due to its remote location, the fuel cost on
\nBattle Harbour is very expensive. In this research we look into on-site renewable energy
\nresources and conduct a feasibility study of a hybrid power system for Battle Harbour. We
\npresent one-year recorded power consumption data, wind, solar energy and hydro
\nresources of the island and discuss options for reducing diesel consumption. Two cases are
\nconsidered, a) load as usual b) load reduced by 50% after energy conservation measures.
\nThe sizing of the hybrid power system for both cases is discussed. This feasibility study
\nindicates that by using a hybrid power system the diesel consumption on the island can be
\nreduced 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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.333
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.028
GPT teacher head0.312
Teacher spread0.284 · 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