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Record W2590207156 · doi:10.1002/9781119251101.ch10

NATURAL GAS CONVERSION

2017· other· en· W2590207156 on OpenAlexaff
Wisarn Yenjaichon, Farzam Fotovat, John R. Grace

Bibliographic record

Venuenot available
Typeother
Languageen
FieldChemical Engineering
TopicCatalysts for Methane Reforming
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMethane reformerSteam reformingExothermic reactionPartial oxidationEndothermic processMethaneNatural gasCarbon dioxide reformingWater-gas shift reactionSorbentChemical engineeringChemistryCatalysisWaste managementProcess engineeringEnvironmental scienceHydrogen productionSyngasEngineeringOrganic chemistry

Abstract

fetched live from OpenAlex

This chapter reviews the main steam methane reforming (SMR) process, as well as widespread attempts to improve the process by such measures as partial oxidation (POX), autothermal operation, hydrogen-permeable membranes, and sorbent-enhanced reforming. Dry reforming has been shown to be mechanistically analogous to steam reforming, with the water-gas shift (WGS) reaction virtually reaching equilibrium. Combined endothermic CO2 reforming and exothermic POX reactions reduce the need for heat transfer surfaces and assists in achieving high energy efficiency, requiring little or no external energy, with safer operation than POX of methane alone. This is similar to combining SMR with POX of methane, commonly referred to as autothermal reforming (ATR). ATR is carried out in the presence of a catalyst which controls the reaction pathways, thereby playing a role in determining the relative extents of the oxidation and steam reforming reactions.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.013
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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.009
GPT teacher head0.238
Teacher spread0.230 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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

Citations5
Published2017
Admission routes1
Has abstractyes

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