Open Access
Open access
volume 100 pages 237-241

The Ni-Mo/γ-Al2O3 catalyzed hydrodeoxygenation of FAME to aviation fuel

Publication typeJournal Article
Publication date2017-09-01
scimago Q1
wos Q2
SJR0.811
CiteScore7.9
Impact factor4.3
ISSN15667367
General Chemistry
Catalysis
Process Chemistry and Technology
Abstract
Sulfur-free Ni-Mo/γ-Al2O3 catalysts were prepared and characterized by XRD. The catalysts were used for hydrodeoxygenation of pre-treated poor quality lipids to produce hydrocarbon biofuels, and tested for two samples in a fixed bed reactor. The loading amounts of active metals Mo and Ni were optimized through the hydrodeoxygenation reaction yields of pre-treated waste cooking oil (transformed to methyl ester). Considering hydrodeoxygenation yields and compositions of the obtained products, the optimal loading amounts of Mo and Ni were 10% and 5% by weight, respectively. Using this catalyst, the hydrodeoxygenation yield of enzymatically pre-treated waste cooking oil could reach 97%.
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GOST |
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GOST Copy
Wang M. et al. The Ni-Mo/γ-Al2O3 catalyzed hydrodeoxygenation of FAME to aviation fuel // Catalysis Communications. 2017. Vol. 100. pp. 237-241.
GOST all authors (up to 50) Copy
Wang M., He M., Fang Y., Baeyens J., Tan T. The Ni-Mo/γ-Al2O3 catalyzed hydrodeoxygenation of FAME to aviation fuel // Catalysis Communications. 2017. Vol. 100. pp. 237-241.
RIS |
Cite this
RIS Copy
TY - JOUR
DO - 10.1016/j.catcom.2017.07.009
UR - https://doi.org/10.1016/j.catcom.2017.07.009
TI - The Ni-Mo/γ-Al2O3 catalyzed hydrodeoxygenation of FAME to aviation fuel
T2 - Catalysis Communications
AU - Wang, Meng
AU - He, Mingli
AU - Fang, Yunming
AU - Baeyens, Jan
AU - Tan, Tianwei
PY - 2017
DA - 2017/09/01
PB - Elsevier
SP - 237-241
VL - 100
SN - 1566-7367
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@article{2017_Wang,
author = {Meng Wang and Mingli He and Yunming Fang and Jan Baeyens and Tianwei Tan},
title = {The Ni-Mo/γ-Al2O3 catalyzed hydrodeoxygenation of FAME to aviation fuel},
journal = {Catalysis Communications},
year = {2017},
volume = {100},
publisher = {Elsevier},
month = {sep},
url = {https://doi.org/10.1016/j.catcom.2017.07.009},
pages = {237--241},
doi = {10.1016/j.catcom.2017.07.009}
}