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首页> 外文期刊>Environmental Science & Technology >Gibbs Energy Minimization Model for Solvent Extraction with Application to Rare-Earths Recovery
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Gibbs Energy Minimization Model for Solvent Extraction with Application to Rare-Earths Recovery

机译：用于溶剂萃取的吉布斯能量最小化模型及其在稀土回收中的应用

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摘要

The emergence of technologies in which rare-earth elements provide critical functionality has increased the demand for these materials, with important implications for supply security. Recycling provides an option for mitigating supply risk and for creating economic value from the resale of recovered materials. While solvent extraction is a proven technology for rare-earth recovery and separation, its application often requires extensive trial-and-error experimentation to estimate parameter values and determine experimental design configurations. We describe a modeling strategy based on Gibbs energy minimization that incorporates parameter estimation for required thermodynamic properties as well as process design for solvent extraction and illustrate its applicability to rare earths separation. Visualization analysis during parameter estimation revealed a linear relationship between the standard enthalpies of the extractant and respective organo-metal complexes, analogous to the additivity principle for predicting molar volumes of organic compounds. Establishing this relationship reduced the size of the parameter estimation problem and yielded good agreement between model predictions and reported equilibrium extraction data, validating the property estimates for the organic phase species. Design exploration and optimization results map the space of feasible solvent extraction column configurations and identify the set of optimal design parameter values that meet recovery and purity targets.
机译：稀土元素提供关键功能的技术的出现增加了对这些材料的需求，这对供应安全具有重要意义。回收提供了降低供应风险和通过转售回收材料创造经济价值的选择。虽然溶剂萃取是一种用于稀土回收和分离的成熟技术，但其应用通常需要进行大量的反复试验才能估算出参数值并确定实验设计配置。我们描述了基于吉布斯能量最小化的建模策略，该策略结合了所需热力学性质的参数估计以及溶剂萃取的工艺设计，并说明了其在稀土分离中的适用性。参数估计过程中的可视化分析显示，萃取剂的标准焓与相应的有机金属络合物之间存在线性关系，类似于用于预测有机化合物摩尔体积的可加性原理。建立这种关系可以减小参数估计问题的大小，并在模型预测和报告的平衡萃取数据之间取得良好的一致性，从而验证有机相物种的性质估计。设计探索和优化结果绘制了可行的溶剂萃取塔配置的空间，并确定了满足回收率和纯度目标的最佳设计参数值集。

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  • 来源
    《Environmental Science & Technology》 |2019年第13期|7736-7745|共10页
  • 作者

    Iloeje Chukwunwike O.; Colon Carlos F. Jove; Cresko Joe; Graziano Diane J.;

  • 作者单位

    Argonne Natl Lab, Energy Syst Div, 9700 South Cass Ave, Lemont, IL 60439 USA;

    Sandia Natl Labs, 1515 Eubank SE, Albuquerque, NM 87123 USA;

    US DOE, Adv Mfg Off, 1000 Independence Ave SW, Washington, DC 20585 USA;

    Argonne Natl Lab, Decis & Infrastruct Sci Div, 9700 South Cass Ave, Lemont, IL 60439 USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
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