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Size Does Matter: Technoeconomic Analysis of Methane Electro-Oxidation

2025· article· en· W4406871466 on OpenAlexafffund
Miao Wang, Ian D. Gates

Bibliographic record

VenueEnergy & Fuels · 2025
Typearticle
Languageen
FieldEnergy
TopicCO2 Reduction Techniques and Catalysts
Canadian institutionsUniversity of Calgary
FundersCanada First Research Excellence Fund
KeywordsMethaneEnvironmental scienceEnvironmental chemistryAnaerobic oxidation of methaneChemistryOrganic matterChemical engineeringOrganic chemistryEngineering

Abstract

fetched live from OpenAlex

High Resolution Image Download MS PowerPoint Slide There is growing focus on electrochemical oxidation of methane due to greater availability of renewable electricity and the desire to move to cleaner production of methane-based bulk chemicals. We analyze the economic feasibility of electrochemical production of methanol, formaldehyde, formic acid, ethanol, acetic acid, acetaldehyde, and propanol at different scales (1, 10, 100, and 1000 tonnes/day) to determine key performance metrics (electricity price, current density, selectivity, conversion, and stack cost) that enable economic production. The results show that electricity price and stack cost are the most important economic indicators, suggesting that the critical deployment hurdles that need to be addressed are the stack efficiency and cost. With current grid electricity emission factors, all processes are competitive compared to current thermal–catalytic processes.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.004
GPT teacher head0.234
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; 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

Citations2
Published2025
Admission routes2
Has abstractyes

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