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Chemical kinetic modeling and parameter sensitivity analysis for the carbonation of Ca2+ and Mg2+ under ambient conditions

机译:环境条件下Ca2 +和Mg2 +碳酸化的化学动力学建模与参数敏感性分析

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A reaction model was developed to predict kinetic parameters and competition of mg(2+) and Ca2+ ions during carbonation in mild conditions, i.e. ambient temperature and up to 3 atm for the CO2 partial pressure. The experimental carbonation results at different temperatures, Mg2+/Ca2+ ratios, and atmospheric pressure were used to validate and predict the kinetic parameters of individual reactions in the aqueous phase by applying genetic algorithm and reactor modeling. This model showed a good agreement with experimental results, and satisfactorily predicted the competition between Mg2+ and Ca2+ and the formation of magnesian calcite (MgNCa(l - N)CO3). In addition, a sensitivity analysis was conducted based on the validated kinetic model to maximize the precipitation rates of Mg2+ and Ca2+. It was found that the final yield for magnesian calcite is the highest for the Mg2+/Ca2+ molar ratio of 1, referring to an equal concentration of two cations in the leachate. This suggests the strongest synergy between both cations for their co-precipitation. The optimum ammonia amount used as a pH-swing agent was found to be equal to the amount of ammonia released from the leaching stage in a closed loop leaching-carbonation. This amount of ammonia led to similar to 100% Mg2+ and Ca2+ precipitation along with the highest magnesian calcite precipitation yield. (C) 2016 Elsevier B.V. All rights reserved.
机译:开发反应模型以预测在温和条件下碳酸化过程中Mg(2+)和Ca2 +离子的动力学参数和竞争,即CO 2分压的环境温度和最多3个ATM。通过应用遗传算法和反应器建模,使用实验碳化在不同温度,Mg2 + / Ca2 +比率和大气压下进行验证和预测水相中各种反应的动力学参数。该模型表现出与实验结果的良好一致性,令人满意地预测Mg2 +和Ca2 +之间的竞争以及镁材方解石的形成(MgNCA(L - N)CO3)。此外,基于验证的动力学模型进行灵敏度分析,以最大限度地提高Mg2 +和Ca2 +的沉淀速率。发现MgESian方解石的最终产率是Mg 2 + / Ca2 +摩尔比的最高,参考渗滤液中的平等浓度的两个阳离子。这表明两个阳离子的共同降水中最强大的协同作用。发现用作pH型转化剂的最佳氨量等于在闭环浸出 - 碳酸化中从浸出阶段释放的氨的量。该氨量导致与100%Mg2 +和Ca2 +沉淀相似,以及最高的镁材方解石沉淀收率。 (c)2016年Elsevier B.v.保留所有权利。

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