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Record W4240517656 · doi:10.24124/2012/bpgub1540

Financial viability of switching propane heat to Combined Heat and Power (CHP) in rural northern communities

2012· dissertation· en· W4240517656 on OpenAlexaffabout
Cameron E. Stevens

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEnergy
TopicHybrid Renewable Energy Systems
Canadian institutionsUniversity of Northern British Columbia
Fundersnot available
KeywordsRenewable energyEnergy independenceFossil fuelCapital costBusinessInvestment (military)Natural resource economicsElectricityRevenueResource (disambiguation)Environmental economicsFinanceEconomicsWaste managementEngineering

Abstract

fetched live from OpenAlex

Community energy production will serve as an avenue for self-sufficiency and energy independence from utilization of biomass in local forests. The most opportune way of achieving this is to maximize the full utilization of the forest resource. As in the rural northern communities, the forests are available for Combined Heat and Power (CHP) projects. The CHP technology is well established in Europe, and it would be beneficial for Canada to become business partners with the CHP manufacturers to ensure the knowledge and expertise is established in British Columbia (BC). Based on this project, the CHP system is most appropriate when the unit is producing enough heat and power for the facility rather than to establish a large CHP for selling the surplus power to BC Hydro. The BC Hydro bioenergy rates are not high enough for building a strong business case for CHP at a smaller scale. The rates for BC Hydro are a driver for CHP, if the project is built based on present energy prices the renewable energy based projects are more costly than fossil fuel burning energy systems. As shown in the capital budgeting calculations, the smaller BG25 has a greater chance of success due to the lower costs for the initial investment and the lower operating costs. When the purchase price of renewable energy increases and given priority with premium prices then CHP will be financially viable. --P. 2.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.966
Threshold uncertainty score0.068

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0090.000

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 head0.229
Teacher spread0.221 · 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

Citations1
Published2012
Admission routes2
Has abstractyes

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