Experimental and Modelling Comparison of the Effects of UV Energy on Liquefaction Efficiency In Coal Liquefaction Mechanism

Y. Altinsoy, E. Simsek
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Abstract

Coal liquefaction process gives very efficient results, especially for value-added chemicals production from low-quality coal. However, when the literature is examined, notably there is not enough scientific study for liquefaction mechanisms. Here, in this study, There are five different liquefaction mechanisms of Beypazarı coals. It includes four different UV light power and a catalyst environment using 180 watts of UV power. Created first-order linear discrete models were proposed and compared with the experimental results. Additionally, the reaction rate constants for each proposed kinetic model were calculated using the Kalman filter method. However, to evaluate the compatibility of the experimental results and the modeling results, the sum of the squared differences of the values calculated from the experimental data and the models was examined. Because of these studies, it has been observed that the rate constants of direct oil formation from coal at 120 and 180 watts of UV power are at least three times greater than the rate constants for the formation of asphaltene and pre-asphaltene from coal. Simultaneously, The results demonstrate that models with reversible and parallel steps are more compatible with experimental data. Experimental data and modeling results are much more compatible with the studies conducted on Beypazarı coals in a 180-watt UV-catalyzed environment compared to a 180-watt catalyst-free environment. In the presence of ZnO catalyst, the rate constants occurring in the conversion reaction from coal to oil were again three times faster than the conversion rate constants from coal to asphaltene and from coal to preasphaltene. In the modeling and experimental results conducted in the catalyst environment, the efficiency was higher than the catalyst-free environment. The best fit was obtained using model that has both reversible (between asphaltene: coal, asphaltene: oil, and asphaltene: preasphaltene) and irreversible (coal: oil, coal: preasphaltene and preasphaltene: oil) reaction steps. The model also evidenced that reversible reactions are critical on the liquefaction of Beypazarı coal.
煤液化机理中紫外能量对液化效率影响的实验与模型比较
煤液化工艺具有很高的效率,特别是用低质煤生产高附加值化学品。然而,当查阅文献时,值得注意的是,对液化机制的科学研究还不够。在这项研究中,beypazarki煤有五种不同的液化机制。它包括四种不同的紫外线光功率和使用180瓦紫外线功率的催化剂环境。建立了一阶线性离散模型,并与实验结果进行了比较。此外,利用卡尔曼滤波法计算了每种动力学模型的反应速率常数。然而,为了评估实验结果与模型结果的兼容性,我们检验了实验数据与模型计算值的平方差之和。由于这些研究,已经观察到,在120瓦和180瓦的紫外功率下,煤直接成油的速率常数至少是煤形成沥青质和预沥青质的速率常数的三倍。同时,实验结果表明,采用可逆步长和平行步长的模型与实验数据更加吻合。实验数据和建模结果与在180瓦紫外线催化环境下对beypazarki煤进行的研究相比,在180瓦无催化剂环境下进行的研究更加吻合。在ZnO催化剂的作用下,煤制油的反应速率常数比煤制沥青烯和煤制沥青前烯的反应速率常数快3倍。在催化剂环境下进行的建模和实验结果表明,效率高于无催化剂环境。采用具有可逆反应步骤(沥青质:煤、沥青质:油、沥青质:预沥青质)和不可逆反应步骤(煤:油、煤:预沥青质和预沥青质:油)的模型进行最佳拟合。该模型还证明了可逆反应在贝帕扎尔煤液化过程中的关键作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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