MétaCan
Menu
Back to cohort
Record W2002714846 · doi:10.4271/2012-01-0872

Impact of Ethanol Fuels on Regulated Tailpipe Emissions

2012· article· en· W2002714846 on OpenAlex
Mahmoud K. Yassine, Morgan La Pan

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSAE technical papers on CD-ROM/SAE technical paper series · 2012
Typearticle
Languageen
FieldEngineering
TopicVehicle emissions and performance
Canadian institutionsChrysler (Canada)
Fundersnot available
KeywordsEthanolEnvironmental scienceAutomotive engineeringProcess engineeringWaste managementChemistryEngineering

Abstract

fetched live from OpenAlex

<div class="section abstract"><div class="htmlview paragraph">Flexible fuel vehicle production has been steadily increasing in the US over the past fifteen years. Ethanol is considered a renewable fuel additive to gasoline which helps the US efforts in minimizing the dependency on foreign oil. As a result, it is becoming very hard to find pure gasoline which does not contain some ethanol content at the pump in the US. The fuel currently available at the pump contains close to 10% ethanol. The fuel and evaporative systems components and materials on newer flexible fuel vehicles are being designed to be tolerant of the 10% ethanol content. There is a strong desire from ethanol producers to increase the ethanol content up to a 20% level. This is still being debated by the Environmental Protection Agency and a final decision has not been made yet but will be announced by the upcoming Tier 3 Notice of Public Rule Making (NPRM) in December of 2011. Early signs from EPA are indicating the E15 would be the official certification fuel with the upcoming Tier 3 NPRM. The California Air Resources Board (CARB) proposed in the LEV III NPRM to use E10 as the official fuel for all required certification testing.</div><div class="htmlview paragraph">Many studies are being done investigating the impact of the 20% ethanol fuel blend on the different components in the vehicle especially on the evaporative systems. This study focuses on the effect of ethanol content on tailpipe emissions including carbonyls. The effect of ethanol addition to gasoline fuels on regulated tailpipe emissions is investigated under different ethanol content and different ambient temperatures. In addition to THC, CO, NO<sub>x</sub>, CH₄ and CO₂ tailpipe emissions, the analysis includes carbonyl measurement with formaldehydes, acetaldehydes, and other 11 carbonyl species. Testing was conducted on a 3.3 L Chrysler Town & Country vehicle at different ambient temperatures (20°F or -7°C, 50°F or 10°C and 75°F or 24°C) with indolene certification fuels containing 0, 10%, 20% and 85% ethanol. The effect of varying the Reid vapor pressure (RVP) on tailpipe emissions with E85 fuels is also discussed.</div></div>

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.978
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.014
GPT teacher head0.264
Teacher spread0.250 · 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