A comprehensive review on the application of response surface methodology for optimization of biodiesel production using different oil sources

被引：0

作者：

Manojkumar N. ^{[1
]}

Muthukumaran C. ^{[2
]}

Sharmila G. ^{[2
]}

机构：

[1] Department of Genetic Engineering, School of Bioengineering, SRM Institute of Science and Technology, Kattankulathur 603203, Tamilnadu, Chennai

[2] Department of Industrial Biotechnology, Government College of Technology, Tamilnadu, Coimbatore

来源：

Journal of King Saud University - Engineering Sciences | 2022年 / 34卷 / 03期

关键词：

Biodiesel; CCD; Oils; Optimization; RSM;

D O I：

10.1016/j.jksues.2020.09.012

中图分类号：

学科分类号：

摘要：

The renewable and sustainable energy resources gained greater importance in the current scenario to minimize the environmental pollution load and to compensate the energy demand worldwide. Biodiesel is one of the renewable biofuels which can be produced from vegetable oils and animal fats. The optimization of process variables and conditions for biodiesel production is one of the crucial steps in the process to achieve maximum yield with cost effective manner. Conventional optimization (one-factor at a time) method is well studied and, it possesses some disadvantages like more experimental runs, time and not illuminates the synergistic effect of the process variables. Use of response surface methodology (RSM) in optimization studies is increasing and, it provides the details of the interaction effect of chosen variables with fewer experiments. In this review, the application of RSM for biodiesel production using different oil sources was reported. © 2020 King Saud University

引用

页码：198 / 208

页数：10

共 67 条

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