首页> 外文期刊>ACS Omega >Experimental Study on Biodiesel Production Parameter Optimization of Jatropha–Algae Oil Mixtures and Performance and Emission Analysis of a Diesel Engine Coupled with a Generator Fueled with Diesel/Biodiesel Blends
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Experimental Study on Biodiesel Production Parameter Optimization of Jatropha–Algae Oil Mixtures and Performance and Emission Analysis of a Diesel Engine Coupled with a Generator Fueled with Diesel/Biodiesel Blends

机译:用柴油/生物柴油混合加油的柴油发动机柴油发动机的生物柴油混合物和柴油机性能和排放分析的实验研究

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Methyl ester production from jatropha–algae oil is conducted through a transesterification process. Consequences of four parameters, the molar ratio (oil:methanol), the reaction temperature, the amount of catalyst, and the reaction time for obtaining a higher yield of biodiesel, are derived, and the process was optimized using the response surface methodology based on the Box–Behnken Design. An optimized biodiesel yield of 96% is achieved at a molar ratio of 1:10, a reaction temperature of 53° C, a 0.3 wt% catalyst, and a reaction time of 172 min. The predicted optimal conditions were experimentally validated with a relative error of 4% of the experimental result (96%). The P value of ANOVA is <0.0001, which shows that the model is significant. Finally, the performance and emissions in a diesel engine coupled with an electricity generator powered by biodiesel blends (B0, B5, B10, and B20% vol.) were investigated, concluding a significant reduction of exhaust gases. The engine was run with numerous blends of biodiesel by changing the brake power from 0 load to 0.5, 1, 1.5, and 2 KW.
机译:来自Jatropha-藻类油的甲酯产生通过酯交换过程进行。四个参数的后果,衍生摩尔比(油:甲醇),反应温度,催化剂的量和用于获得更高产率的生物柴油的反应时间,并使用基于的响应表面方法进行优化Box-Behnken设计。优化的生物柴油产率为96%,以1:10,反应温度为53℃,0.3wt%催化剂的反应温度和172分钟的反应时间。预测的最佳条件是通过实验验证的实验结果的相对误差(96%)。 ANOVA的 P值为<0.0001,表明该模型是显着的。最后,研究了柴油发动机中的性能和排放,其与由生物柴油共混物(B0,B5,B10和B20%Vol.)提供的发电机,结束于减少废气。通过将制动功率从0载荷改变为0.5,1,1,1.5和2kW,通过将制动功率变为0.5,1,1,1.5和2kW,通过多种生物柴油共混。

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