Abstract
The esterification of oleic acid in the presence of magnetic ionic liquid, 1-butyl-3-methylimidazolium tetrachloroferrate ([BMIM][FeCl4]) at reaction temperature of 65°C has been investigated. Artificial neural network-genetic algorithm (ANN-GA) was used to simultaneously optimized methyl oleate yield and oleic acid conversion for the reaction. It was found that optimum responses for both yield and conversion were 83.4%, which can be achieved using molar ratio methanol-oleic acid of 22:1, catalyst loading of 0.003mol and reaction time at 3.6h. Esterification of oleic acid at optimum condition using recycled [BMIM][FeCl4] registered not much loss in catalytic activity after six successive runs. Kinetic study indicated that the reaction followed a pseudo-first order reaction, with activation energy and pre-activation energy of 17.97kJ/mol and 181.62min-1, respectively. These values were relatively low compared to homogeneous or heterogeneous catalysts for esterification of oleic acid. Thus, [BMIM][FeCl4] is a promising new type of catalyst for conversion of high free fatty acid (FFA) feeds to biodiesel.
| Original language | English |
|---|---|
| Pages (from-to) | 809-818 |
| Number of pages | 10 |
| Journal | Applied Energy |
| Volume | 114 |
| DOIs | |
| State | Published - Feb 2014 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Biodiesel
- Esterification
- Kinetic
- Magnetic ionic liquid
- Optimization
- Recycle
ASJC Scopus subject areas
- Building and Construction
- Mechanical Engineering
- General Energy
- Management, Monitoring, Policy and Law
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