Influence of Different Sulfur Forms on Gas-Phase Mercury Removal by SO<sub>2</sub>-Impregnated Porous Carbons
Notice bibliographique
Résumé
Due to widespread global mercury pollution via anthropogenic activities such as coal combustion and its severe toxicity even at low concentrations, it is necessary to remove mercury from power plant flue gas to protect both humans and the ecosystem. Currently, significant efforts are being made to maximize Hg0 adsorption rates while minimizing the impact on the cost of electricity. The purpose of this study is to explore the influence of different sulfur forms on vapor Hg0 removal by SO2-impregnated porous carbons. After SO2 impregnation, reductive heat treatment in N2 and H2O2 oxidation process was used to diverge the sulfur form composition in porous carbons. The ultimate and X-ray photoelectron spectroscopy analysis were used to verify the sulfur species. The pore structures of sorbents were determined by nitrogen adsorption/desorption measurements. Then, their mercury removal performance was investigated in a fixed-bed reactor and the influence of different sulfur forms on equilibrium mercury adsorption capacity and mercury desorption was studied. Finally, the kinetics of mercury adsorption on SO2-impregnated sorbents was explored to identify whether the adsorption process is controlled by chemical adsorption. The results showed that apparent increases in the quantities of reduced sulfur species were observed after heat treatment, which is assumed to be beneficial for mercury adsorption. H2O2 oxidation after SO2 impregnation has caused a loss of reduced and nonoxidized sulfur forms in porous carbons, as well as an increase in insoluble oxidized sulfur species. One interesting finding is that even though the micropore volumes of porous carbons decreased after heat treatment, the Hg0 adsorption capacities of reduced samples and the thermal stability of adsorbed mercury were both positively raised. After H2O2 treatment, the oxidized SO2 impregnated samples showed an obvious decrease in Hg0 adsorption capacity. Compared with nonoxidized and oxidized sulfur forms, the reduced sulfur forms have shown a rather significant correlation with the mercury adsorption performance of SO2-impregnated samples. Kinetic analysis illustrates that mercury adsorption on SO2-impregnated porous carbons was mainly controlled by chemical adsorption.
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.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».