Biodiesel production from Argemone mexicana oil using chicken eggshell derived CaO catalyst br

被引:31
|
作者
Ashine, Fekadu [1 ]
Kiflie, Zebene [2 ]
Prabhu, Sundramurthy Venkatesa [1 ]
Tizazu, Belachew Zegale [1 ]
Varadharajan, Venkatramanan [3 ]
Rajasimman, Manivasagan [4 ]
Joo, Sang-Woo
Vasseghian, Yasser [5 ,6 ]
Jayakumar, Mani [7 ]
机构
[1] Addis Ababa Sci & Technol Univ, Dept Chem Engn, Addis Ababa, Ethiopia
[2] Addis Ababa Inst Technol, Sch Chem & Bioengn, Addis Ababa, Ethiopia
[3] Amity Univ, Dept Informat Technol, Noida, India
[4] Annamalai Univ, Fac Engn & Technol, Dept Chem Engn, Chidambaram, Tamilnadu, India
[5] Soongsil Univ, Dept Chem, Seoul 06978, South Korea
[6] SIMATS, Saveetha Sch Engn, Dept Sustainable Engn, Chennai 602105, India
[7] Haramaya Univ, Haramaya Inst Technol, Dept Chem Engn, POB 138, Dire Dawa, Ethiopia
关键词
Biodiesel; Argemone mexicana oil; CaO catalyst; Optimization; HETEROGENEOUS CATALYSTS; METHYL-ESTERS; CALCIUM-OXIDE; PALM OIL; WASTE; OPTIMIZATION; TRANSESTERIFICATION; ALUMINA; OSTRICH; BLENDS;
D O I
10.1016/j.fuel.2022.126166
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The present study aimed to optimize the process on the yield percentage of biodiesel from Argemone mexicana oil using calcium oxide as catalyst derived from chicken eggshells. The catalyst was characterized by different techniques, such as X-ray diffraction analysis, Brunauer-Emmett-Teller method with the Barret-Joyner-Halenda model, Fourier transform infrared (FT-IR) spectroscopy, thermogravimetric analysis, and scanning electron microscopy with energy dispersive X-ray studies. The parameters, methanol to oil molar ratio, catalyst loading, and reaction time were optimized through response to surface methodology, which suggested that the improved oil yield was achieved at the molar ratio of methanol to oil: 9.7:1, catalyst loading of 3.05 wt%, and reaction time of 3.01 h for achieving the 99.07 % yield. Further, the optimal values were analyzed by non-statistical techniques, genetic algorithm, and artificial neural network. The acquired biodiesel was characterized by FTIR and 1H NMR techniques. The reusability of prepared catalyst showed a significant stability for more than 4 times.
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页数:15
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