MétaCan
Menu
Back to cohort
Record W2547869422 · doi:10.1080/17597269.2015.1118782

Gasification of biomass in a circulating fluidized bed based calcium looping gasifier for hydrogen-enriched gas production: experimental studies

2016· article· en· W2547869422 on OpenAlex

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueBiofuels · 2016
Typearticle
Languageen
FieldEngineering
TopicChemical Looping and Thermochemical Processes
Canadian institutionsUniversity of GuelphDalhousie UniversityGreenfield Research (Canada)
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsCalcium loopingCalcium oxideSorbentFluidized bedChemical looping combustionFluidized bed combustionSawdustSyngasBiomass (ecology)HydrogenCalciumWaste managementWood gas generatorCarbon dioxideHydrogen productionChemical engineeringMaterials scienceChemistryEnvironmental sciencePulp and paper industryAdsorptionEngineeringMetallurgyCoal

Abstract

fetched live from OpenAlex

This paper presents experimental studies of circulating fluidized bed based calcium looping gasification (CFB-CLG) system for producing hydrogen-enriched gas from biomass. The merit of this system is that it captures carbon dioxide (CO2) during the process using the inexpensive and easily available sorbent calcium oxide (CaO). The process also regenerates the sorbent internally and produces a relatively pure stream of CO2. A laboratory scale calcium looping gasification system based on a circulating fluidized bed was developed and tested. Experiments conducted to gasify sawdust in the CFB-CLG system shows that it could produce a gas with 81% hydrogen and CO2 as low as 5%. Exergy analysis of the calcium looping system is done and the efficiency is 78.77%.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.513

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)0.0000.000

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 head0.065
GPT teacher head0.304
Teacher spread0.240 · 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