MétaCan
Menu
Retour à la cohorte
Enregistrement W7034088154

A STUDY OF FLUIDIZATION AND GASIFICATION OF BIOMASS PELLETS IN FLUIDIZED BED REACTORS

2023· dissertation· en· W7034088154 sur OpenAlex

Pourquoi ce travail est dans la base

Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.

fundUn bailleur canadien est enregistré sur le travail.
no affAucune affiliation canadienne : ce travail est invisible pour une base fondée sur la seule affiliation.
Aucune affiliation canadienne. Une base fondée sur la seule affiliation (le devis habituel) n'aurait jamais vu ce travail. C'est l'un des travaux qui justifient l'inversion de la base.

Notice bibliographique

RevueUniversity Library (University of Saskatchewan) · 2023
Typedissertation
Langueen
DomaineSocial Sciences
ThématiqueMultidisciplinary Research Papers Compilation
Établissements canadiensnon disponible
Organismes subventionnairesNatural Sciences and Engineering Research Council of Canada
Mots-clésFluidizationFluidized bedMixing (physics)BubbleBiomass (ecology)PelletsMass transferSawdust
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Fluidized bed reactors are generally used for biomass-to-energy conversion due to their excellent mass transfer/mixing and heat transfer between bed materials. As such, the efficiency of the process and the fluidized bed performance depend strongly on gasification operating conditions as well as hydrodynamic properties such as gas-solids distribution and mixing which are in turn influenced by bubble characteristics and random solids movement. The aim of this research was thus to study and optimize both hydrodynamic and gasification operating conditions to improve syngas yield. At the initial phase, fluidization parameters such as fluidization velocity, bubble size, bubble frequency, and bed expansion were experimentally investigated for binary mixtures at different loadings of three different biomass materials: soy hull pellets, oat hull pellets, and sawdust, in silica sand. The results from this study showed that the final fluidization velocity (Uff) of the binary mixture of non-pelletized biomass increased as the percentage composition of the biomass increased. For the pelletized biomass, however, a decrease in Uff was observed at higher compositions of biomass in the silica sand. Mixing and segregation of binary mixtures of these biomass and silica sand in a fluidized bed were also experimentally investigated. The results showed an increase in the extent of mixing as the fluidizing velocity increased for both pelletized materials while the mixing extent for sawdust decreased beyond a loading of 20 wt.%. Fluidization velocities below 2.5Uff were insufficient for proper mixing of the binary mixtures, especially at loadings above 15 wt.%, due to particle size, density, and shape. These results greatly contributed to understanding the hydrodynamics of binary and multicomponent mixtures involving biomass materials in fluidized beds in terms of loading and gas velocity requirements. Results from durability tests showed better pellet integrity and cohesiveness for soy hull pellets compared to oat hull pellets. The thermal decomposition characteristics and kinetics studies of the biomass were also investigated using thermogravimetric analysis (TGA). The thermal degradation properties of all biomass used showed three distinct stages each corresponding to moisture loss, volatile loss, and secondary reactions respectively. The apparent activation energies of the biomass were derived using the non-linear Vyazkovin model with activation energies ranging from 117.6 kJ/mol and 134.2 kJ/mol. After careful examination of results from hydrodynamics, durability, kinetic studies, and availability, soy hull pellet was chosen for the gasification experiments. Soy hull pellet gasification was carried out in a pilot-scale fluidized bed gasifier with air as the gasifying agent. The effect of four operating parameters; biomass loading at 10 – 30 wt.%, temperature (750 – 950 ℃), equivalence ratio, which is the ratio of the actual vs stoichiometric air-fuel ratio (0.2 – 0.4), and fluidization velocity (2.5 – 4Uff), on the syngas yield and composition were thus investigated. The results from this study showed that biomass loading, and fluidization gas velocity showed synergetic effects on gas yield due to efficient mixing. Higher loading of biomass was possible due to densification, thus increasing syngas yield. The final phase of the research involved catalytic steam gasification of soy hull pellets using alkali metal catalysts via a response surface methodology. This was done to explore the catalytic effect of inherent metallic compounds on gaseous composition, gas and tar yields. At optimal loading and gas velocity, the effects of temperature (750 - 950℃), steam-to-biomass ratio (1-3), and catalyst loading (1 – 5%) were investigated with results showing higher gas yields with catalyst loadings, higher H2 yields (2.5 times more) than air gasification and a proposed reaction mechanism for the catalytic process.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: Qualitatif
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,039
Score d'incertitude au seuil0,986

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,002
Études des sciences et des technologies0,0000,000
Communication savante0,0000,001
Science ouverte0,0010,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,027
Tête enseignante GPT0,266
Écart entre enseignants0,238 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle