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Record W2039396436 · doi:10.4155/bfs.10.20

Recent advances in fluidized bed technology in biomass processes

2010· article· en· W2039396436 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.

Bibliographic record

VenueBiofuels · 2010
Typearticle
Languageen
FieldEngineering
TopicThermochemical Biomass Conversion Processes
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsBiomass (ecology)Fluidized bedRaw materialWaste managementCoalEnvironmental scienceFluidizationCombustionProcess engineeringPyrolysisEngineeringChemistryEcology

Abstract

fetched live from OpenAlex

Owing to its solids handling ability, intimate contact between the phases and excellent mixing and heat-transfer characteristics, fluidized bed technology has been applied successfully to coal processing and in the petroleum industry for a number of decades. With renewed interest in biomass energy, due to its carbon neutrality, fluidized bed technology is of special relevance for biomass. Recent advances in thermochemical conversion of biomass into energy and chemicals using fluidized bed technology are reviewed in this paper. Combustion, gasification and pyrolysis are the main routes being investigated as thermochemical processes with biomass as feedstock. Among the major challenges are the variability in biomass feedstock characteristics, tuning the fluidization operating conditions and configurations and controlling emissions and auxiliary equipment in handling the feedstock. It is expected that further advancements in various aspects related to fluidized bed biomass technology will proceed before full utilization of biomass feedstock conversion into useful energy and products for mitigating greenhouse gases can be realized.

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 score0.047
Threshold uncertainty score0.601

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.006
GPT teacher head0.223
Teacher spread0.217 · 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