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Thermodynamics of metal hydrides for hydrogen storage applications using first principles calculations.

机译:使用第一原理计算的用于氢存储的金属氢化物的热力学。

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摘要

Metal hydrides are promising candidates for H2 storage, but high stability and poor kinetics are the important challenges which have to be solved for vehicular applications. Most of recent experimental reports for improving thermodynamics of metal hydrides have been focused on lowering reaction enthalpies of a metal hydride by mixing other compounds. However, finding out metal hydride mixtures satisfying favorable thermodynamics among a large number of possible metal hydride mixtures is inefficient and thus a systematic approach is required for an efficient and rigorous solution. Our approaches introduced in this thesis allow a systematic screening of promising metal hydrides or their mixtures from all possible metal hydrides and their mixtures. Our approaches basically suggest two directions for improving metal hydride thermodynamics. First, our calculations for examining the relation between the particle size of simple metal hydrides and thermodynamics of their decomposition reactions provide that the relation would depend on the total surface energy difference between a metal and its hydride form. It ultimately suggests that we will be able to screen metal hydride nanoparticles having favorable thermodynamics from all possible metal hydrides by examining the total surface differences. Second, more importantly, we suggest that our thermodynamic calculations combined with the grand canonical linear programming method and updated database efficiently and rigorously screen potential promising bulk metal hydrides and their mixtures from a large collection of possible combinations. The screened promising metal hydrides and their mixtures can release H 2 via single step or multi step. Our additional free energy calculations for a few selected promising single step reactions and their metastable paths show that we can identify the most stable free energy paths for any selected reactant mixtures. In this thesis, we also demonstrate that a total free energy minimization method can predict the possible evolution of impurity other than H2 for several specified mixtures. However, it is not ready to predict reaction thermodynamics from a large number of compounds.
机译:金属氢化物是用于H2储存的有希望的候选物,但是高稳定性和不良动力学是车辆应用必须解决的重要挑战。改善金属氢化物热力学的最新实验报告大多数集中在通过混合其他化合物来降低金属氢化物的反应焓上。然而,在大量可能的金属氢化物混合物中找出满足良好热力学的金属氢化物混合物是无效的,因此需要有效而严格的解决方案的系统方法。本文介绍的方法允许从所有可能的金属氢化物及其混合物中系统筛选有希望的金属氢化物或其混合物。我们的方法基本上提出了改善金属氢化物热力学的两个方向。首先,我们为检查简单金属氢化物的粒度与其分解反应的热力学之间的关系而进行的计算提供了这种关系将取决于金属与其氢化物形式之间的总表面能之差。最终表明,通过检查总表面差异,我们将能够从所有可能的金属氢化物中筛选出具有良好热力学的金属氢化物纳米颗粒。其次,更重要的是,我们建议将热力学计算与宏规范线性规划方法和更新的数据库相结合,从大量可能的组合中高效,严格地筛选潜在的有前途的散装金属氢化物及其混合物。筛选出的有希望的金属氢化物及其混合物可以通过一步或多步释放H 2。我们对一些选定的有前途的单步反应及其亚稳路径的附加自由能计算表明,我们可以为任何选定的反应物混合物确定最稳定的自由能路径。在本文中,我们还证明了总自由能最小化方法可以预测几种特定混合物中除H2以外的杂质可能的演化。但是,尚不能从大量化合物中预测反应热力学。

著录项

  • 作者

    Kim, Ki Chul.;

  • 作者单位

    Georgia Institute of Technology.;

  • 授予单位 Georgia Institute of Technology.;
  • 学科 Engineering Chemical.
  • 学位 Ph.D.
  • 年度 2010
  • 页码 186 p.
  • 总页数 186
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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