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Record W4238559776 · doi:10.24124/2013/bpgub1562

Granisle British Columbia: a feasibility study to convert the community from propane to natural gas

2013· dissertation· en· W4238559776 on OpenAlexfundaboutno aff
Craig T. Sears

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEngineering
TopicOffshore Engineering and Technologies
Canadian institutionsnot available
FundersUniversity of Northern British Columbia
KeywordsNatural gasFossil fuelGreenhouse gasWaste managementElectricityEnergy sourceEnvironmental scienceResource (disambiguation)Electricity generationEngineeringNatural resource economicsEnvironmental economicsEconomicsComputer sciencePower (physics)Ecology

Abstract

fetched live from OpenAlex

Natural gas is a relatively clean burning reliable source of energy as compared to other fossil fuels, and is used to heat millions of homes across Canada. In recent years the oil and gas industries have developed procedures for extraction of natural gas using unconventional methods that have resulted in proven vast reserves in Canada. These vast reserves are driving the cost of the energy source to record low prices. Choosing natural gas for space, water and process heating in the residential, commercial and industrial sectors can decrease the demand for electricity generation. This can improve the overall efficiency of energy utilization and reduce greenhouse gas emissions. (CAPP, 2012) With the reduced cost of this energy source coupled with recent technological improvements in the compression and transportation of natural gas, the ability to supply this abundant resource to remote small communities is becoming a reality. This project will consider existing technological methods of loading, transporting, and unloading methods for natural gas and determine the feasibility of supplying the product to the remote communities of Granisle, Moricetown, and Hazelton in North West British Columbia as a competitive alternative to propane and oil as a source of home heating. Without significant demand for energy and considering the cost of infrastructure and operations the option of supplying natural gas to a remote community is not viable. However, with the addition of a large industrial customer such as a mining operation the demand for the resource increases significantly thereby creating a viable project. --Leaf i.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.890
Threshold uncertainty score1.000

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 communication0.0010.000
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 head0.010
GPT teacher head0.221
Teacher spread0.210 · 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.

Study designObservational
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
Published2013
Admission routes2
Has abstractyes

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