Experimental Studies of Thermal Conductivity of Three Biodiesel Compounds: Methyl Pentanoate, Methyl Octanoate, and Methyl Decanoate,Journal of Chemical & Engineering Data

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Experimental Studies of Thermal Conductivity of Three Biodiesel Compounds: Methyl Pentanoate, Methyl Octanoate, and Methyl Decanoate
Journal of Chemical & Engineering Data ( IF 2.0 ) Pub Date : 2021-12-08 , DOI: 10.1021/acs.jced.1c00702
Xiong Zheng ₁ , Dan Qu ₁ , Yanqiong Bao ₁ , Guangzhao Qin ₁ , Yu Liu ₂ , Qinlan Luo ₃

Affiliation

Biodiesels are mainly composed of fatty acid methyl esters (FAMEs). Before using them for industrial applications, it is essential to study the thermophysical properties of FAMEs. Thermal conductivity of fuels is required in many processes, such as design of heat exchangers and biodiesel combustion modeling. Thus, it is of great significance to acquire accurate experimental data for obtaining accurate thermal conductivity data of FAMEs. In this work, thermal conductivities of methyl pentanoate (MeC5:0), methyl octanoate (MeC8:0), and methyl decanoate (MeC10:0) were measured using a transient hot-wire setup in a wide temperature and pressure range. The measured temperature and pressure regions are from 293.15 to 523.15 K and 0.1 to 15 MPa, respectively. The experimental data were fitted into a dimensionless polynomial. Absolute average deviations and maximum deviations are 0.33 and 1.40% for MeC5:0, 0.25 and 0.86% for MeC8:0, and 0.25 and 1.05% for MeC10:0, respectively. Comparisons between this work and literature were carried out, and a good agreement was found between our data and literature data. Furthermore, three predictive models were used to describe the present data.

中文翻译：

三种生物柴油化合物热导率的实验研究：戊酸甲酯、辛酸甲酯和癸酸甲酯

生物柴油主要由脂肪酸甲酯 (FAME) 组成。在将它们用于工业应用之前，必须研究 FAME 的热物理特性。许多过程都需要燃料的热导率，例如热交换器的设计和生物柴油燃烧建模。因此，获取准确的实验数据对于获得准确的FAMEs热导率数据具有重要意义。在这项工作中，使用瞬态热线装置在宽温度和压力范围内测量了戊酸甲酯 (MeC5:0)、辛酸甲酯 (MeC8:0) 和癸酸甲酯 (MeC10:0) 的热导率。测得的温度和压力区域分别为 293.15 至 523.15 K 和 0.1 至 15 MPa。将实验数据拟合成无量纲多项式。MeC5:0 的绝对平均偏差和最大偏差分别为 0.33% 和 1.40%，MeC8:0 为 0.25% 和 0.86%，MeC10:0 为 0.25% 和 1.05%。将这项工作与文献进行了比较，发现我们的数据和文献数据之间有很好的一致性。此外，使用三个预测模型来描述当前数据。

更新日期：2022-01-13

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