Optimization of biodiesel production from Thevetia peruviana seed oil by adaptive neuro-fuzzy inference system coupled with genetic algorithm and response surface methodology

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• 作者：Benjamin Ogaga Ighose^a ; Ibrahim A. Adeleke^a ; Mueuji Damos^a ; Hamidat Adeola Junaid^a ; Kelechi Ernest Okpalaeke^b ; Eriola Betiku^a ; ^{ebetiku@oauife.edu.ng} ; ^{ebetiku@yahoo.com}
• 关键词：Adaptive neuro-fuzzy inference system ; Response surface methodology ; Genetic algorithm ; Biodiesel ; Transesterification
• 刊名：Energy Conversion and Management
• 出版年：2017
• 出版时间：15 January 2017
• 年：2017
• 卷：132
• 期：Complete
• 页码：231-240
• 全文大小：2152 K
• 卷排序：132

文摘

Oil was extracted from Thevetia peruviana seeds and converted to FAME. The FFA of the oil was first reduced to <1% by esterification process. The conversion of the esterified oil to FAME was modeled using ANFIS and RSM. The developed models by ANFIS and RSM for transesterification process had R2 ≈ 1. GA and RSM gave the maximum FAME yield of 99.8 wt.% and 98.8 wt.%, respectively.