首页> 外文学位 >Development of a thermodynamic database, evaluation of experimental enthalpy departure data, and modeling phase behavior in weak aqueous electrolyte mixtures.
【24h】

Development of a thermodynamic database, evaluation of experimental enthalpy departure data, and modeling phase behavior in weak aqueous electrolyte mixtures.

机译:开发热力学数据库,评估焓变实验数据,并在弱电解质水溶液混合物中模拟相行为。

获取原文
获取原文并翻译 | 示例

摘要

This study includes two primary objectives: (1) development and organization of a thermodynamic database including an evaluation of the quality of experimental enthalpy departure data, and (2) extension and continued development of a weak electrolyte phase and chemical equilibrium model.; The thermodynamic database is organized into a user-friendly relational database model using Microsoft Access. Statistical analysis of enthalpy departure data compared to equation-of-state predictions allows assessment of data point quality. Over 13,000 enthalpy departure data are evaluated. The analysis identifies less than 1% of all data as being of questionable quality, with a small portion marked as possible outliers. The Peng-Robinson EOS calculates enthalpy departure within 6 Btu/lb for all data, with discernable trends based on types of components. Pure paraffins and binary mixtures of paraffins are more accurately modeled (3.5 Btu/lb) compared to cyclic components and mixtures containing aromatic and/or napthene components (6 Btu/lb). For heterogeneous compounds, both pure components and binary mixtures show wider variations; predictions of enthalpy departures are within 8 Btu/lb of the experimental data.; The improvements to a weak electrolyte equilibrium model have been incorporated into a phase behavior-modeling framework. Regression of EOS coefficients from binary electrolyte-water mixtures leads to data correlations within experimental uncertainty. Equilibrium predictions for mixtures of a weak electrolyte and strong electrolytes are accurate to ionic strengths up to 12 molar for the weak electrolytes carbon dioxide, hydrogen sulfide, sulfur dioxide, ammonia, and hydrogen cyanide. Less accurate predictions are obtained for mixed weak electrolytes, without the introduction of additional model parameters. (Abstract shortened by UMI.)
机译:这项研究包括两个主要目标:(1)开发和组织热力学数据库,包括评估实验焓偏离数据的质量;(2)扩展和持续开发弱电解质相和化学平衡模型。使用Microsoft Access将热力学数据库组织为用户友好的关系数据库模型。与状态方程预测相比,对焓偏离数据进行统计分析可以评估数据点质量。评估了超过13,000个焓变离开数据。分析发现所有数据中不到1%的数据质量可疑,一小部分被标记为可能的异常值。 Peng-Robinson EOS计算出所有数据的焓差在6 Btu / lb之内,并根据组件类型得出明显的趋势。与环状组分和含有芳族和/或环烷组分的混合物(6 Btu / lb)相比,纯链烷烃和链烷烃的二元混合物的建模更为精确(3.5 Btu / lb)。对于异质化合物,纯组分和二元混合物均显示较大的变化;焓变的预测值在实验数据的8 Btu / lb之内。弱电解质平衡模型的改进已纳入相行为建模框架。来自二元电解质-水混合物的EOS系数回归导致实验不确定性内的数据相关性。对于弱电解质二氧化碳,硫化氢,二氧化硫,氨和氰化氢,对于弱电解质和强电解质的混合物的平衡预测精确到离子强度高达12摩尔。在没有引入其他模型参数的情况下,对于混合弱电解质的预测不太准确。 (摘要由UMI缩短。)

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号