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Record W7132869559

Performance study of a combined heat and power Stirling engine fueled by diesel and biodiesel

2008· dissertation· W7132869559 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.

fundA Canadian funder is recorded on the work.
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

VenueTSpace · 2008
Typedissertation
Language
FieldEngineering
TopicAdvanced Thermodynamic Systems and Engines
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsCogenerationCombustionDiesel fuelStirling engineIgnition systemBiodieselInternal combustion engineNOxDiesel engine
DOInot available

Abstract

fetched live from OpenAlex

This thesis examines the performance of a residential cogeneration system based on a Stirling engine fueled by diesel and biodiesel. An energy balance test is performed for each fuel and the energy, exergy, and marginal efficiencies are calculated. Particulate emissions are measured using a direct sampling device that enables collecting the particles on a filter for gravimetric analysis. The total unburned hydrocarbons are measured using a flame ionization detector. A Fourier transform infrared spectrometer is used to measure the concentration of carbon dioxide, carbon monoxide, nitric oxide, nitrogen dioxide, water, methane, acetylene, ethylene, formaldehyde, and acetaldehyde emissions in the exhaust. A comparison is made between the performance of this system and other residential cogeneration technologies such as internal combustion engines and fuel cells.

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)0.000
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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.610
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
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 head0.007
GPT teacher head0.245
Teacher spread0.237 · 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