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Record W1990695323 · doi:10.1002/cjce.20321

Straw combustion in circulating fluidized bed at low‐temperature: Transformation and distribution of potassium

2010· article· en· W1990695323 on OpenAlexaffvenueabout
Chunjiang Yu, Jianguang Qin, Jing Xu, Hu Nie, Zhongyang Luo, Kefa Cen

Bibliographic record

VenueThe Canadian Journal of Chemical Engineering · 2010
Typearticle
Languageen
FieldEngineering
TopicThermochemical Biomass Conversion Processes
Canadian institutionsWestern University
Fundersnot available
KeywordsPotassiumStrawFly ashFluidized bed combustionCombustionChemistryBiomass (ecology)PotashPulp and paper industryCoalAnimal scienceAgronomyInorganic chemistryOrganic chemistryBiology

Abstract

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Abstract Potassium in straw is relatively high and exists mainly as readily available potassium (K r ). The release and transformation of the K r during biomass combustion mean a decrease or loss of potash fertiliser value. The purpose of this work is to quantify the transformation and the distribution of the K r under conditions that can obviously reduce the loss of it, and then to try to offer some suggestions for new biomass projects. A pilot‐scale circulating fluidized bed (CFB) combustor (0.5 MW th ) has been applied to combust rice straw. The combustion temperature was kept at a low level (lower than 700°C) to reduce the transformation of potassium. The K r and the total potassium (K t ) in the rice straw, the bottom ash, and the flyash were determined after chemical fractionation and wet acid digestion, respectively. The mass balance of the biomass ash, the K r and the K t in stable operation were quantified. The experimental results showed that the flyash accounted for more than 95% of the total straw ash. The flyash contained around 92% of the K t and 86% of the K r of the straw. In the flyash about 3% of the K r of straw was transformed to unavailable potassium (K u ) during combustion. On the basis of the obtained results, four suggestions that reduce the loss of the K r are given for the better development of biomass‐fired power plants. Le potassium contenu dans la paille est relativement élevé, environ 1 à 3% du poids à sec, et existe principalement sous la forme de potassium rapidement utilisable (K r ). La libération et la transformation du Kr pendant la combustion de biomasse à température élevée entraîne une diminution ou une perte de valeur de l'engrais potassique. Le but de ce travail est de quantifier la transformation et la répartition du Kr dans des conditions qui peuvent visiblement en réduire la perte, et par la suite essayer d'apporter quelques suggestions pour les nouveaux projets de biomasse dans l'optique de la protection de la durabilité de l'agriculture. Une chambre de combustion à lit fluidisé circulant (CLFC) à l'échelle pilote (0,5 MWth) a été utilisée pour brûler la paille de riz, biomasse agricole la plus commune. La température de combustion a été maintenue à un bas niveau (en dessous de 700) afin de réduire la transformation du potassium. Le Kr et le potassium total (K t ) contenus dans la paille de riz, les cendres résiduelles, et les cendres volantes ont été déterminés après le fractionnement chimique et la digestion à l'acide humide, respectivement. Le bilan de masse de la cendre de biomasse, le Kr, et le Kt en régime de fonctionnement stable a été quantifié. Les résultats expérimentaux ont démontré que les cendres volantes constituaient plus de 95% de la totalité des cendres générées par la paille. Les cendres volantes contenaient environ 92% du teneur en Kt et 86% du teneur en Kr de la paille. Environ 3% du teneur en Kr de la paille a été transformé en potassium inutilisable (Ku) dans les cendres volantes pendant la combustion. Sur la base des résultats obtenus, quatre suggestions résultant dans la réduction de perte du Kr sont proposées pour le développement de centrales d'énergie alimentées à la biomasse. Can. J. Chem. Eng. © 2010 Canadian Society for Chemical Engineering

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How this classification was reachedexpand

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 score0.002
Threshold uncertainty score0.340

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 head0.003
GPT teacher head0.164
Teacher spread0.161 · 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 teacher head, 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

Citations16
Published2010
Admission routes3
Has abstractyes

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