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Record W2057025588 · doi:10.1115/fbc2003-018

Energy and High Surface Area Siliceous Ash From the Combustion of Rice Hulls

2003· article· en· W2057025588 on OpenAlexaboutno aff
Mark McQueen

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicThermochemical Biomass Conversion Processes
Canadian institutionsnot available
Fundersnot available
KeywordsRice hullsCombustionPozzolanBiomass (ecology)Carbon fibersMaterials scienceWaste managementSilica fumeEnvironmental sciencePulp and paper industryFly ashComposite materialCementChemistryComposite numberEngineeringGeology

Abstract

fetched live from OpenAlex

Biomass combustion is an attractive energy production method since it is a zero net emitter of carbon dioxide. Rice hulls are a significant source of biomass fuel: approximately 100Mt of rice hulls are produced yearly from the processing and milling of paddy rice. Previous studies have shown that the ash produced from the combustion of rice hulls possesses pozzolanic properties. When used as a concrete additive, the ash can behave similar to silica fume and improve the strength and porosity of the finished concrete. In such cases, the surface area attributed to the pozzolan is related to the residual carbon content of the ash, which is often well in excess of 5%. The excessive carbon level stems from the awkward geometry of the hulls combined with the low melting point and heat sensitive nature of the ash minerals: these create problems for commercial combustion devices. As a result, the ash produced at these facilities contains either high residual carbon or a high proportion of crystalline silica, both of which renders the ash unattractive for use as a concrete additive. However, if the ash is of sufficient quality to be sold as a concrete additive, the economics of energy generation from the rice hulls can be improved. Test work conducted in Mississauga, Canada has produced an ash with less than 3% residual carbon, and greater than 90% silica, nearly all of which is amorphous. This work was done at temperatures higher than those in conventional operations without significant conversion of the siliceous component from the amorphous state to crystalline forms such as crystobalite or quartz. The key to this unexpected result is an enhanced combustion environment in which the solids residence time at elevated temperatures, and therefore the opportunity for silica phase changes, is minimized. In this instance, the total measured surface area of this ash is lower than that of the other ashes due to the reduced residual carbon content, but the siliceous surface area is equal or greater due to the high amorphous content. Consistent with this fact, the rice hull ash performed well in a number of standard concrete tests, in which the ash replaced 7.5% to 12.5% of the Portland cement for similar water to cement mixture ratios. With proper application of a TORBED process reactor as a combustor, a high value and high surface area siliceous ash can be produced as energy is simultaneously recovered from the system.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.168
Teacher spread0.162 · 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 designBench or experimental
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

Citations1
Published2003
Admission routes1
Has abstractyes

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