Abstract The present study was devoted to investigating the effect of input parameters— Mono ethylene glycol supported emulsion (MEGSE) ratio and engine speed—on their corresponding engine-out parameters including engine torque, BSFC, BSEC, BTE, CO, NOx, and soot emissions. At full-load condition, the MEGSE concentrations ranging from 0% to 20% were employed, whereas the engine speed varied from 1800 rpm to 3250 rpm. In comparison with neat diesel fuel, the BTE and engine torque decreased at high levels of MEGSE, and the CO, NOx, and soot emissions declined as well. The BSFC and BSEC values of the MEGSE/diesel blends was higher in comparison with base fuel. The response surface method was employed to propose multi-regression models and predict engine performance and exhaust emissions. Besides, the analysis of variance technique was utilized to analyse the derived models in terms of statistical significance. The optimization was performed to maximize engine performance and minimize exhaust emissions. The optimal engine operating conditions were found to be at an engine speed of 2603 rpm and a MEGSE concentration of 15.6%. The findings indicated that at this optimal condition, the values of engine torque, BTE, BSFC, BSEC, CO, NOX, and soot were found to be 17.24 Nm, 28.52%, 505.7 g/kWh, 9.48 MJ/kWh, 2123 ppm, 368 ppm, and 2.24 m−1, respectively.

中文翻译：

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单乙二醇负载乳液柴油机发动机性能与尾气排放特性对比分析

摘要 本研究致力于研究输入参数——单乙二醇负载乳液 (MEGSE) 比和发动机转速——对其相应的发动机输出参数的影响，包括发动机扭矩、BSFC、BSEC、BTE、CO、NOx 和烟尘。排放。在满负荷条件下，MEGSE 浓度范围为 0% 到 20%，而发动机转速从 1800 rpm 到 3250 rpm。与纯柴油相比，在高 MEGSE 水平下，BTE 和发动机扭矩下降，CO、NOx 和烟尘排放也下降。与基础燃料相比，MEGSE/柴油混合物的 BSFC 和 BSEC 值更高。响应面法被用来提出多重回归模型并预测发动机性能和废气排放。除了，方差分析技术被用来分析派生模型的统计显着性。进行优化是为了最大限度地提高发动机性能并最大限度地减少废气排放。发现最佳发动机运行条件是发动机转速为 2603 rpm，MEGSE 浓度为 15.6%。结果表明，在该最佳条件下，发动机扭矩、BTE、BSFC、BSEC、CO、NOX 和烟尘的值分别为 17.24 Nm、28.52%、505.7 g/kWh、9.48 MJ/kWh、2123 ppm、分别为 368 ppm 和 2.24 m-1。