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Autor(en) / Beteiligte
Titel
Optimization of syngas production from co-gasification of palm oil decanter cake and alum sludge: An RSM approach with char characterization
Ist Teil von
  • Environmental research, 2024-04, Vol.246, p.118027-118027, Article 118027
Ort / Verlag
Netherlands: Elsevier Inc
Erscheinungsjahr
2024
Link zum Volltext
Quelle
MEDLINE
Beschreibungen/Notizen
  • The study explores co-gasification of palm oil decanter cake and alum sludge, investigating the correlation between input variables and syngas production. Operating variables, including temperature (700–900 °C), air flow rate (10–30 mL/min), and particle size (0.25–2 mm), were optimized to maximize syngas production using air as the gasification agent in a fixed bed horizontal tube furnace reactor. Response Surface Methodology with the Box-Behnken design was used employed for optimization. Fourier Transformed Infra-Red (FTIR) and Field Emission Scanning Electron Microscopic (FESEM) analyses were used to analyze the char residue. The results showed that temperature and particle size have positive effects, while air flow rate has a negative effect on the syngas yield. The optimal CO + H2 composition of 39.48 vol% was achieved at 900 °C, 10 mL/min air flow rate, and 2 mm particle size. FTIR analysis confirmed the absence of C─Cl bonds and the emergence of Si─O bonds in the optimized char residue, distinguishing it from the raw sample. FESEM analysis revealed a rich porous structure in the optimized char residue, with the presence of calcium carbonate (CaCO3) and aluminosilicates. These findings provide valuable insights for sustainable energy production from biomass wastes. [Display omitted] •Max 39.48 vol% syngas yield achieved at 900 °C Temp., 10 mL/min AFR, and 2 mm PS.•Unlike AFR, Temp. and PS showed positive impact on CO + H2 production.•No C─Cl bonds, but new Si─O bonds emerged in optimized char residue.•Optimized char residue revealed porous structure with CaCO3 and aluminosilicates.
Sprache
Englisch
Identifikatoren
ISSN: 0013-9351
eISSN: 1096-0953
DOI: 10.1016/j.envres.2023.118027
Titel-ID: cdi_proquest_miscellaneous_2909088234

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