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Fuzzy modeling and optimization of the synthesis of biodiesel from waste cooking oil (WCO) by a low power, high frequency piezo-ultrasonic reactor

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  • Aghbashlo, Mortaza
  • Hosseinpour, Soleiman
  • Tabatabaei, Meisam
  • Dadak, Ali

Abstract

This study was aimed at performing a multi-objective fuzzy modeling and optimization of a low power, high frequency piezo-ultrasonic reactor applied for biodiesel production from waste cooking oil (WCO). To achieve this, three different fuzzy optimization methods were interfaced with adaptive neuro-fuzzy inference system (ANFIS) as modeling system to minimize the specific energy consumption of the reactor and to satisfy the ASTM standard on yield, i.e., conversion efficiency of >96.5%. Two ANFIS models were applied to correlate two output variables (conversion efficiency and specific energy consumption) individually with three input variables (reaction temperature, ultrasonic irradiation time, and methanol/oil molar ratio). The multi-objective optimization techniques included the fuzzy systems with independent, interdependent, and locally-modified interdependent objectives. Based on the results achieved, both ANFIS models excellently tracked the output parameters. Furthermore, the fuzzy system with locally-modified interdependent objectives outperformed the other two fuzzy systems in optimizing the transesterification process of WCO. The optimal WCO transesterification process for biodiesel production in the developed reactor corresponded to the methanol/oil molar ratio of 6.1:1, ultrasonic irradiation time of 10 min, and reaction temperature of 59.5 °C, leading to a conversion efficiency of 96.63% and a specific energy consumption of 373.87 kJ/kg.

Suggested Citation

  • Aghbashlo, Mortaza & Hosseinpour, Soleiman & Tabatabaei, Meisam & Dadak, Ali, 2017. "Fuzzy modeling and optimization of the synthesis of biodiesel from waste cooking oil (WCO) by a low power, high frequency piezo-ultrasonic reactor," Energy, Elsevier, vol. 132(C), pages 65-78.
    • Handle: RePEc:eee:energy:v:132:y:2017:i:c:p:65-78
    DOI: 10.1016/j.energy.2017.05.041
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    14. Janbarari, Seyed Reza & Ahmadian Behrooz, Hesam, 2020. "Optimal and robust synthesis of the biodiesel production process using waste cooking oil from different feedstocks," Energy, Elsevier, vol. 198(C).
    15. Aghbashlo, Mortaza & Mandegari, Mohsen & Tabatabaei, Meisam & Farzad, Somayeh & Mojarab Soufiyan, Mohamad & Görgens, Johann F., 2018. "Exergy analysis of a lignocellulosic-based biorefinery annexed to a sugarcane mill for simultaneous lactic acid and electricity production," Energy, Elsevier, vol. 149(C), pages 623-638.
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    18. Aghbashlo, Mortaza & Tabatabaei, Meisam & Rastegari, Hajar & Ghaziaskar, Hassan S. & Roodbar Shojaei, Taha, 2018. "On the exergetic optimization of solketalacetin synthesis as a green fuel additive through ketalization of glycerol-derived monoacetin with acetone," Renewable Energy, Elsevier, vol. 126(C), pages 242-253.
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    21. Aghbashlo, Mortaza & Tabatabaei, Meisam & Amid, Sama & Hosseinzadeh-Bandbafha, Homa & Khoshnevisan, Benyamin & Kianian, Ghaem, 2020. "Life cycle assessment analysis of an ultrasound-assisted system converting waste cooking oil into biodiesel," Renewable Energy, Elsevier, vol. 151(C), pages 1352-1364.

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