An ultrasound-assisted process for the optimization of biodiesel production from waste cottonseed cooking oil using response surface methodology
Biodiesel is a promising option instead of fossil energy, particularly when non-edible feedstocks are utilized in the production process. To limit the environmental effects of biodiesel production, the production method should be properly chosen and to optimize the process variables. Ultrasound-base...
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| Autores principales: | , , , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
KeAi Communications Co., Ltd.
2021
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/9d6fa77c78e94814bbda0af2444d907d |
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| Sumario: | Biodiesel is a promising option instead of fossil energy, particularly when non-edible feedstocks are utilized in the production process. To limit the environmental effects of biodiesel production, the production method should be properly chosen and to optimize the process variables. Ultrasound-based biodiesel synthesis using waste cottonseed cooking oil (WCCO) is significant process it reduces reaction time and a highly energy-efficient process. This work focused on a comparison and analysis of optimization results using response surface methodology (RSM) based box-behnken design (BBD) and full factorial design (FFD) methods for a biodiesel production from waste cottonseed cooking oil (WCCO) catalyzed by KOH via an ultrasound (US) based transesterification process and also described the benefits to the environment caused by ultrasound method for producing biodiesel. For optimization of the biodiesel yield following parameters are considered: methyl alcohol: oil ratio (molar ratio) (A), KOH wt % (B), process temperature (C) and found to be methyl alcohol: oil molar ratio: 6:1, KOH wt %: 0.50% reaction temperature: 50 °C, with the process biodiesel yield: 98%. Quadratic polynomial equations are obtained by analyzing experimental values for transesterification reaction. The impact of these parameters on biodiesel yield is inspected and analyzed by different plots. The process variables optimized for biodiesel yield were in a good match for BBD and FFD method. |
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