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Modeling and optimization of novel biodiesel production from non-edible oil with musa balbisiana root using hybrid response surface methodology along with african buffalo optimization
Reaction Kinetics, Mechanisms and Catalysis ( IF 1.8 ) Pub Date : 2020-06-17 , DOI: 10.1007/s11144-020-01807-7
Upender Kumar , Pardeep Gupta

This research aims to produce a novel biodiesel fuel with standard quality from the non-edible oil with Lithium doped Calcium Oxide (Li–CaO) based heterogeneous nanocatalyst derived from Musa balbisiana Root ash. The characterization of the prepared nanocatalysts was achieved by X-ray diffractometer (XRD), Brunauer–Emmett–Teller (BET), Fourier transform infrared (FTIR), energy dispersive X-ray (EDX), scanning electron microscopy (SEM), X-Ray photoelectron spectroscopy (XPS) and transmission electron microscopy (TEM) techniques. Moreover, the production time and yield were optimized by a novel Hybrid Response Surface Methodology along with African Buffalo Optimization (HRSM-ABO) algorithm. The proposed method simulation was done on the Matlab platform. According to the simulation and experimental outcomes, the optimum biodiesel yield of nearly 97.8% was achieved at the conditions that the 4 wt% of catalyst amount, 15:1 methanol to the oil of molar ratio, reaction time of 150 min and the reaction temperature of 65 °C with Amplitude of 75%. Consequently, reusability investigation proved that there the catalytic action of the improved catalyst was moderately decreased after 7 cycles. The mechanism of the proposed transesterification process was understood by the estimation of kinetic study. Furthermore, the physiochemical properties of the proposed biodiesel were measured. This result signified that the newly prepared Li–CaO was the most suitable catalyst to make biodiesel, which can be utilized in diesel engines.



中文翻译:

使用杂种响应面法和非洲水牛优化,对具有穆萨巴尔比西亚根的非食用油生产新型生物柴油进行建模和优化

这项研究的目的是从非食用油中合成一种标准质量的新型生物柴油燃料,该燃料采用锂掺杂的氧化钙(Li–CaO)基非均相纳米催化剂,衍生自Balaiana Musa。根灰。制备的纳米催化剂的表征通过X射线衍射仪(XRD),Brunauer-Emmett-Teller(BET),傅立叶变换红外(FTIR),能量色散X射线(EDX),扫描电子显微镜(SEM),X进行-射线光电子能谱(XPS)和透射电子显微镜(TEM)技术。此外,通过新型的混合响应曲面方法以及非洲水牛城优化(HRSM-ABO)算法优化了生产时间和产量。所提出的方法仿真是在Matlab平台上完成的。根据模拟和实验结果,在催化剂量为4 wt%,甲醇与油的摩尔比为15:1,反应时间为150分钟和反应温度为条件下,最佳生物柴油收率达到了近97.8%。 65°C时幅度为75%。因此,可重复使用性研究证明,经过7次循环后,改进的催化剂的催化作用适度降低。动力学研究的估计可以理解所提出的酯交换过程的机理。此外,测量了所提出的生物柴油的理化性质。该结果表明,新制备的Li–CaO是最适合制造生物柴油的催化剂,可用于柴油发动机。

更新日期:2020-06-18
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