利用经验方程的制备预测棕榈基生物柴油的性能

J. Joelianingsih, M. Christwardana, I. Purwaningsih
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引用次数: 1

摘要

生物柴油是印尼政府强制要求在交通、工业和发电厂使用的植物燃料之一。根据能源和矿产资源部12/2015号关于替代燃料供应、使用和植物基燃料贸易的规定,该义务将逐步实施。生物柴油的使用比例从2016年的20%增加到2030年的30%。生物柴油的质量必须不断提高,以支持法规的实施。高性能生物柴油具有优良的火焰特性、高的氧化稳定性和易于低温流动等特点。这些特性在很大程度上取决于脂肪酸甲酯(FAME)的组成。在原始数据的基础上,建立了生物柴油氧化稳定性、浊点、碘值、粘度和密度等基本参数的经验方程。通过分析国内生产的3个生物柴油样品和2个棕榈硬脂与大豆生物柴油混合的生物柴油样品,获得了初步数据。鉴定结果表明,三种样品均具有不同的FAME谱,分别由棕榈油生物柴油、棕榈硬脂生物柴油和棕榈油生物柴油组成。利用统计软件建立经验方程,并将计算结果与生物柴油实际参数进行对比验证。该方法将检测时间缩短至13个工作日,并将每个样品的检测成本降低至67%或1190,000印尼盾。本研究建立的经验方程能够预测生物柴油的基本参数,误差为。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prediction of Palm Based Biodiesel Properties Through the Preparation of Empirical Equation
Biodiesel is one of plant-based fuel that has been made mandatory by the Indonesian government for using in transportation, industries, and power plants. This obligation is gradually applied as stipulated in the regulation of the Ministry of Energy and Mineral Resources 12/2015 regarding to supply, use and plant-based fuel trade as alternative fuel. The percentage of biodiesel use was  increasing from 20 % in 2016 to 30 % in 2030. The quality of biodiesel has to be continuously improved to support the regulation. Biodiesel with high performance has excellent flame characteristics, high oxidation stability and easy to flow at low temperature. These characteristics are highly determined by the composition of fatty acid methyl esters (FAME). Empirical equations were formulated based on primary data to predict the essential parameters of biodiesel, consisting of oxidation stability, cloud point, Iodine value, viscosity and density. The primary data were obtained by analyzing three biodiesel samples from domestic producers and two samples of biodiesel blend between palm stearin and soybean biodiesel. Identification results showed that all three samples have different FAME profiles which consist of palm oil biodiesel, palm stearin biodiesel and palm olein biodiesel. The empirical equations were formulated using statistical software and validated by comparing the calculated results with actual biodiesel parameters. This method reduced the testing time up to 13 working days and reduced testing cost up to 67% or IDR 1 190 000 per sample. The empirical equations formulated in this study were able to predict the essential parameters of biodiesel with the error was.
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