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PR状态方程二元相互作用参数的拟合及对柴油中氢气溶解度的预测 被引量:2

Fitting binary interaction parameter of PR EOS and predicting hydrogen solubility in diesels
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摘要 通过Aspen Hysys模拟计算了温度(323~623)K和压力(4~10)MPa条件下,氢气在0~#柴油、直馏柴油、催化柴油和焦化柴油中的溶解度。计算结果对比实验数据,得到氢气在4种柴油中溶解度的平均误差分别为17.49%、11.48%、20.09%和14.00%。因二元相互作用参数与柴油性质以及温度之间存在着一定的关联,为了得到更加准确的溶解度数据,提出了计算PR状态方程中二元相互作用参数的关联式,并用Matlab进行关联式参数的拟合和氢气溶解度的计算,得到溶解度数据的平均误差分别为8.12%、7.51%、5.73%和6.10%,有效地提高了数据的准确性。因此,提出的二元相互作用参数的计算关联式可以为更加准确地预测氢气在柴油中的溶解度提供有效的方法。 Hydrogen solubility in 0# diesel, straight-run diesel, catalytic diesel and coking diesel had been simulatod through Aspen Hysys separately under temperature of (323-623) K and pressure of (4-10) MPa, and then compared with the experimental data. The average errors of the solubility data, respectively, are 17.49 %, I 1.4g %, 20.09 % and 14.00 %. Because binary interaction parameter has a certain connection between diesels and temperature, to obtain more accurate solubility data, calculating correlation of binary interaction parameter had been proposed. The parameters of the correlation and solubility data were calculated by Matlab, and average errors of the solubility data, respectively, are 8.12 %, 7.51%, 5.73 % and 6. I 0 %. The accuracy of the data has been improved. So the obtained correlation, calculating the binary interaction parameter, can provide a method to predict hydrogen solubility in diesels more accurately.
出处 《计算机与应用化学》 CAS 2015年第5期556-560,共5页 Computers and Applied Chemistry
基金 华东理工大学交叉学科与重大项目培育基金(WA1113008) 中国石油天然气股份有限公司合同项目(2011B-2302)
关键词 氢气 溶解度 柴油 二元相互作用参数 拟合计算 hydrogen solubility diesel binary interaction parameter fitting calculation
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