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Record W1521330417

Techno-economic analysis of hydrogen production using FBMR technology

2012· article· en· W1521330417 on OpenAlex
Lee O’Donnell, Elicia Maine

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

VenuePortland International Conference on Management of Engineering and Technology · 2012
Typearticle
Languageen
FieldEngineering
TopicGreen IT and Sustainability
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsHydrogen productionFlexibility (engineering)Production (economics)HydrogenProcess engineeringCommodityEnvironmental economicsBiochemical engineeringProduction costFluidized bedEconomic analysisSensitivity (control systems)Environmental scienceIndustrial organizationWaste managementComputer scienceBusinessEconomicsEngineeringMicroeconomicsAgricultural economicsChemistryMechanical engineering
DOInot available

Abstract

fetched live from OpenAlex

Alternative methods of hydrogen production are of interest if they offer improvements in cost, efficiency, flexibility, and/or impact on the environment. The feasibility of commercializing fluidized bed membrane reactor (FBMR) methods of hydrogen production is assessed through techno-economic cost modeling (TCM). A sensitivity analysis is then presented to evaluate the impact of changes in market conditions of input materials, commodity pricing, and location will affect the cost of hydrogen using this form of production.

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 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 score0.717
Threshold uncertainty score0.504

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.015
GPT teacher head0.240
Teacher spread0.226 · 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