4.7 Article

Polynomial regression method for optimization of biodiesel production from black mustard (Brassica nigra L.) seed oil using methanol, ethanol, NaOH, and KOH

期刊

ENERGY
卷 209, 期 -, 页码 -

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.energy.2020.118386

关键词

Black mustard; Optimization; Fuel properties; Polynomial regression model; Alkali catalysts; Short chain alcohols

向作者/读者索取更多资源

In this study, ethyl and methyl esters of black mustard (Brassica nigra L.) seed oil using NaOH and KOH were produced. To attain the optimum condition for biodiesel production from black mustard oil, varied catalyst quantity, alcohol amount, reaction temperature, and reaction time were explored and applying polynomial regression method (PRM) adopted. The minimum biodiesel yield was obtained as 96.229% using 45.12 wt% ethanol and 0.838 wt% KOH by weight of oil at 56 min reaction time, and 35.4 degrees C reaction temperature. On the other hand, the maximum biodiesel yield was achieved to be 97.335% utilizing KOH of 0.4 wt% and methanol of 20.39 wt%, at the reaction temperature of 57.1 degrees C, and reaction time of 54.1 min. The increase in biodiesel yield was determined to be on the order of 1.4380, 0.0814, 0.0548 and 0.4352% for NaOHMB, KOHMB, NaOHEB, and KOHEB, respectively, with PRM. Consequently, it can be stated that in comparison with the classical method, PRM is a more promising optimization technique in order to get a higher biodiesel yield. (C) 2020 Elsevier Ltd. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据