Abstract

Continuous application of biodiesel as an alternative fuel for compression ignition (CI) engines has necessitated the need to unearth an optimal mix to enhance engine performance and mitigated emissions. This particular work employed a numerical approach to solve linear equations generated for biodiesel properties using fatty acid (FA) composition for the determination of an optimal fatty acid methyl ester (FAME) candidate. Transesterification of waste vegetable oil employed to experimentally produce the FAME candidate generated through numerical intervention. The gas chromatography-mass spectrometer analysis of the resulting FAME revealed that the type of used vegetable oil, the food the oil was used to fry and catalyst particle size influenced the FA composition of the FAME. Numerical evaluation of the objective function and the constraints yielded a FAME candidate with palmitic and oleic acids at 36.4% and 59.8%, respectively. The outcome of this research indicates that two FA compositions are enough to describe optimized FAME candidate for better engine performance and reduced emissions of an unmodified CI engine.

中文翻译：

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优化FAME成分以改善发动机性能并减少排放

摘要

持续使用生物柴油作为压燃式（CI）发动机的替代燃料，必须挖掘出最佳混合物以增强发动机性能并减少排放。这项特殊的工作采用了一种数值方法来求解使用脂肪酸（FA）成分确定最佳脂肪酸甲酯（FAME）候选物所产生的生物柴油特性的线性方程式。废植物油的酯交换反应，用于实验生产通过数值干预生成的FAME候选物。所得FAME的气相色谱-质谱分析表明，所用植物油的类型，该油用于油炸的食品以及催化剂的粒径影响了FAME的FA组成。对目标函数和约束条件进行数值评估后，棕榈酸和油酸的FAME候选物分别为36.4％和59.8％。这项研究的结果表明，两种FA成分足以描述优化的FAME候选物，以实现更好的发动机性能并减少未改良CI发动机的排放。