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Record W2356305884

Applicating Low Circulation Ratio Fly Ash Underbed Feed Back Cambustion Technology to Renovate Anthrcite Fired Bubbling Fluidized Bed Boiler

2000· article· en· W2356305884 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

VenueIndustrial Boiler · 2000
Typearticle
Languageen
FieldEngineering
TopicCoal Combustion and Slurry Processing
Canadian institutionsCAE (Canada)
Fundersnot available
KeywordsRetrofittingBoiler (water heating)Fly ashAnthraciteWaste managementPulverized coal-fired boilerEngineeringFluidized bed combustionFlash boilerEnvironmental scienceCoalSteam drumSuperheated steamStructural engineering
DOInot available

Abstract

fetched live from OpenAlex

In order to increase boiler output and utilize local coal more efficiently,a 10 t/h BFB boiler burning Fujian anthracite was retrofitted with several special techniques,in terms of underbed feeding of recycling fly ash,vortexing secondary air injection,continuous bottom ash removal and adding immersed tube surface. The boiler performances before and after the retrofitting were measured and compared.The retrofitting was completely successful.The technique used and experiences obtained in the retrofitting can be widely applied in industrial BFB boilers.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.390
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
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.029
GPT teacher head0.253
Teacher spread0.225 · 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