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Record W4387739496 · doi:10.55248/gengpi.4.1023.102634

Study of a Canadian Gas Engine Internal Combustion- CHP, Combined Heat and Power Plant with Emphasis on Design Parameter Effect on Total Efficiency

2023· article· en· W4387739496 on OpenAlexaboutno aff
Amr Abbass

Bibliographic record

VenueInternational Journal of Research Publication and Reviews · 2023
Typearticle
Languageen
FieldChemical Engineering
TopicAdvanced Combustion Engine Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsEmphasis (telecommunications)CombustionPower (physics)Internal combustion engineGas enginePower stationEnvironmental scienceProcess engineeringAutomotive engineeringThermodynamicsEngineeringMechanical engineeringChemistryPhysicsElectrical engineeringOrganic chemistry

Abstract

fetched live from OpenAlex

This Paper is a Discussion about the principle of the CHP and its application in reciprocating Engine power station in the Cornwall CHP plant in Canada The Plant operating Power & temperature and modes of control will be presented , the study will include the Power station Parameters that will be studied using EES model Including the effect of inlet temperature on Cycle efficiency in OTTO & Diesel Engine and Effect of Design Factors like Compression ratio on cycle heating and power efficiency through modeling Cycle in EEs .The relation between Engine parameters and the heating water parameters will be discussed

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.730
Threshold uncertainty score0.362

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
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 head0.068
GPT teacher head0.361
Teacher spread0.294 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
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
Published2023
Admission routes1
Has abstractyes

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