Co-pyrolysis of sewage sludge and waste tobacco stem: Gas products analysis, pyrolysis kinetics, artificial neural network modeling, and synergistic effects.
Artificial neural network
Co-pyrolysis
Kinetics
Sewage sludge
Waste tobacco stem
Journal
Bioresource technology
ISSN: 1873-2976
Titre abrégé: Bioresour Technol
Pays: England
ID NLM: 9889523
Informations de publication
Date de publication:
Dec 2023
Dec 2023
Historique:
received:
05
09
2023
revised:
30
09
2023
accepted:
30
09
2023
medline:
1
11
2023
pubmed:
5
10
2023
entrez:
4
10
2023
Statut:
ppublish
Résumé
This research comprehensively investigates the co-pyrolysis of sewage sludge (SS) and waste tobacco stem (WTS). Various SS and WTS ratios (1:0, 0.75:0.25, 0.50:0.50, 0.25:0.75, and 0:1) were tested over a range of heating rates (30 °C to 800 °C). Apparent activation energies were calculated using model-free methods, and the co-pyrolysis mechanism was described with the master plot method. Results suggest that SS and WTS co-pyrolysis follows power-law models (P3, P4). Among blends, S75W25 exhibited optimal synergy, with the lowest activation energy required for the pyrolysis reactions and inhibits CO
Identifiants
pubmed: 37793553
pii: S0960-8524(23)01244-0
doi: 10.1016/j.biortech.2023.129816
pii:
doi:
Substances chimiques
Sewage
0
Carbon Dioxide
142M471B3J
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
129816Informations de copyright
Copyright © 2023 Elsevier Ltd. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.