Process optimization and simulation of biodiesel synthesis from waste cooking oil through supercritical transesterification reaction without catalyst

被引:6
|
作者
Ahmed, Anas [1 ]
Ali, Abulhassan [2 ]
Mubashir, Muhammad [3 ]
Lim, Hooi Ren [4 ,6 ]
Khoo, Kuan Shiong [7 ]
Show, Pau Loke [4 ,5 ,6 ,8 ]
机构
[1] Univ Jeddah, Dept Ind & Syst Engn, Jeddah, Saudi Arabia
[2] Univ Jeddah, Dept Chem Engn, Jeddah, Saudi Arabia
[3] King Abdullah Univ Sci, Adv Membranes & Porous Mat Ctr, Technol Bldg 4 Level 4, Thuwal 239556900, Saudi Arabia
[4] Wenzhou Univ, Zhejiang Prov Key Lab Subtrop Water Environm & Mar, Wenzhou 325035, Peoples R China
[5] Khalifa Univ, Dept Chem Engn, Shakhbout Bin Sultan St-Zone 1, Abu Dhabi, U Arab Emirates
[6] Univ Nottingham, Dept Chem & Environm Engn, Semenyih 43500, Selangor Darul, Malaysia
[7] Yuan Ze Univ, Dept Chem Engn & Mat Sci, Taoyuan, Taiwan
[8] SIMATS, Saveetha Sch Engn, Dept Sustainable Engn, Chennai 602105, India
来源
JOURNAL OF PHYSICS-ENERGY | 2023年 / 5卷 / 02期
关键词
waste cooking oil; simulation; optimization; response surface methodology; biodiesel; COST;
D O I
10.1088/2515-7655/acb6b3
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
This study reports optimization and simulation of biodiesel synthesis from waste cooking oil through supercritical transesterification reaction without the use of any catalyst. Although the catalyst enhances the reaction rate but due to the presence of water contents in waste cooking oil, the use of catalyst could cause a negative impact on the biodiesel yield. The transesterification reaction without catalyst also offers the advantage of the reduction of pretreatment cost. This study comprises of two steps; first step involves the development and validation of process simulation scheme. The second step involves the optimization using Response Surface Methodology. Face-centered central composite design of experiments is used for experimental matrix development and subsequent statistical analysis of the results. Analysis of variance is employed for optimization purpose. In addition, a sensitivity study of the process parameters including pressure, temperature, and molar ration of oil-to-methanol was conducted. The statistical analysis reveals that temperature is the most influential process parameter as compared to pressure and oil-to-methanol molar ratio. The optimization study results in the maximum biodiesel yield (94.16%) at an optimum temperature of 274.8 degrees C, 7.02 bar pressure, and an oil-to-methanol molar ratio of 12.43.
引用
收藏
页数:12
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