Statistical Optimization for Biodiesel Production from Soybean Oil in a Microchannel Reactor
| Autor: | Yu-Chao Zhao, Jian-Ying Dai, Zhilong Xiu, Dong-Yuan Li |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
Biodiesel
Materials science food.ingredient business.industry General Chemical Engineering food and beverages General Chemistry Transesterification Pulp and paper industry complex mixtures Industrial and Manufacturing Engineering Soybean oil chemistry.chemical_compound food chemistry Biodiesel production Yield (chemistry) Response surface methodology Methanol Microreactor Process engineering business |
| Zdroj: | Industrial & Engineering Chemistry Research. 53:9325-9330 |
| ISSN: | 1520-5045 0888-5885 |
| DOI: | 10.1021/ie4037005 |
| Popis: | Microreactors are efficient with regard to the continuous production of biodiesel, because of their enhanced mass transfer. In this study, a novel structure of microchannel reactor was studied to synthesize biodiesel from soybean oil via alkali-catalyzed transesterification. Response surface methodology (RSM) was applied to evaluate the relationship between biodiesel yield and reaction parameters, such as residence time, reaction temperature, catalyst amount, and molar ratio of methanol to oil. A three-level four-factor Box–Behnken design (BBD) was used to fit the available response data to a second-order polynomial regression model. Under the optimum conditions of a residence time of 14.9 s, a methanol/oil molar ratio of 8.5, 1.17 wt % KOH, and 59 °C, the biodiesel yield reached 99.5%. The effect of moisture and free fatty acid on biodiesel production were also explored. |
| Databáze: | OpenAIRE |
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