溶剂萃取用硝酸和亚硝酸化学模型

H. McKenzie , J. MacDonald-Taylor , F. McLachlan , R. Orr , D. Woodhead
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引用次数: 3

摘要

硝酸在辐照燃料后处理中起着不可或缺的作用。众所周知,硝酸会降解;它的黄色通常表示分解产物的存在。温度和辐射解加速了硝酸的分解;因此,它是核燃料后处理中的一个重要考虑因素。硝酸的热和辐射分解反应导致氧化还原活性氮的形成,其中亚硝酸特别值得关注,主要是因为它与钚和镎发生氧化还原反应。了解这些反应很重要,因为钚和镎可以以多种氧化态存在;氧化态对物质的可萃取性有直接影响。亚硝酸的作用会加剧,因为它催化自己的产物,而它与锕系元素的反应通常是自催化的;因此,即使是微摩尔的量也会产生很大的影响。对溶剂萃取的全面了解要求我们了解锕系元素的价态,这反过来又要求我们了解存在的氮种类及其浓度。作为提高过程模型总体目标的第一步,研究了硝酸分解反应的动力学数据,以便在水条件下建立分解的初始动力学模型。确定一组适合建模的动力学反应一直是这项工作的主要焦点。硝酸热分解模型将有助于更好地理解硝酸分解化学,并能更好地预测溶液中物质的氧化态。打算稍后扩展该模型以包括辐射分解反应,然后进一步纳入有机相,以便有一个涵盖核燃料后处理方案中硝酸的所有分解途径的模型。该模型将用作核燃料后处理过程模型的子模型,以便将硝酸分解包括在内,并预测其对操作的影响。这对于可以研究不同故障情况并预测其结果的误操作模型尤其重要,例如,异常高的酸度可能会增加氧化还原活性物质的产量,从而显著改变锕系元素的氧化态。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modelling of Nitric and Nitrous Acid Chemistry for Solvent Extraction Purposes

Nitric acid plays an integral role in the reprocessing of irradiated fuel. It is well known that nitric acid degrades; its often yellow hue signifies the presence of decomposition products. The decomposition of nitric acid is accelerated by temperature and radiolysis; therefore it is an important consideration in the reprocessing of nuclear fuels.

Thermal and radiolytic reactions of nitric acid result in the formation of redox active nitrogen species, of which nitrous acid is of particular concern, largely due to its redox reactions with plutonium and neptunium. Such reactions are important to understand as plutonium and neptunium can exist in a number of oxidation states; the oxidation state has a direct effect on the species extractability. The effect of nitrous acid is exacerbated as it catalyzes its own production and its reactions with actinides are typically autocatalytic; thus even micromolar quantities can have a large effect. A full understanding of solvent extraction requires us to understand actinide valence states which in turn require us to understand what nitrogen species are present and their concentrations.

As a first step in the overall objective of enhancing process models, the kinetic data for nitric acid decomposition reactions has been investigated in order to produce an initial dynamic model of decomposition under aqueous conditions. The identification of a set of kinetic reactions suitable for modelling has been the primary focus of this work. A model of nitric acid thermal decomposition will help develop a better understanding of nitric acid decomposition chemistry and enable better prediction of the oxidation states of species in solution. It is intended to later extend the model to include radiolytic reactions and then further to incorporate an organic phase in order to have a model which covers all decomposition routes for nitric acid within a nuclear fuel reprocessing scheme. The model will be used as a sub model for process models relating to nuclear fuel reprocessing to allow the nitric acid decomposition to be included and the effect of this on operations to be predicted. This is particularly relevant for models of maloperations where different fault scenarios can be investigated and the results of these predicted, as for example unusually high acidity could increase the yields of redox active species significantly altering actinide oxidation states.

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