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Thermo-kinetic modeling and optimization of the sulfur recovery unit thermal stage

机译:硫磺回收装置热工段的热动力学建模和优化

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In this study, the reaction furnace of Claus process was modeled using the Gibbs free energy minimization method, which involved new parameters in correlations of thermodynamic properties. Using the new parameters, a significant error reduction from 33.50% to 7.86% occurred in the prediction of molar flow rate of components. Subsequently, the waste heat boiler attached to the reaction furnace was modeled using experimental plant data and a new hydrogen sulfide decomposition rate. Utilizing this new rate expression, the capability of the model in H-2 molar flow rate prediction was enhanced, and the mean absolute percentage error of the model for H-2 and H2S species reached 12.94% and 9.43%, respectively. The combined model including corrected equilibrium model for the reaction furnace and corrected kinetic model for the waste heat boiler could reasonably predict the experimental data so that the mean absolute percentage error reached to 6.50%. An optimization study was carried out to examine the operating condition of the Claus reaction furnace and the waste heat boiler in order to maximize sulfur production and minimize COS emission while maintaining H2S to SO2 flow ratio at constant value of 2. (C) 2016 Elsevier Ltd. All rights reserved.
机译:在这项研究中,克劳斯工艺的反应炉采用吉布斯自由能最小化方法进行建模,该方法在热力学性质的相关性中涉及新参数。使用新参数,在预测组件的摩尔流量时,误差从33.50%显着降低到7.86%。随后,使用工厂的实验数据和新的硫化氢分解速率对连接到反应炉的废热锅炉进行了建模。利用这一新的速率表达式,增强了该模型在H-2摩尔流量预测中的能力,并且该模型对H-2和H2S物种的平均绝对百分比误差分别达到12.94%和9.43%。该模型包括校正后的反应炉平衡模型和校正后的废热锅炉动力学模型,可以合理地预测实验数据,使平均绝对百分比误差达到6.50%。进行了优化研究,检查了克劳斯反应炉和废热锅炉的运行状况,以最大程度地生产硫磺并最小化COS排放,同时将H2S与SO2的流量比保持在恒定值2。(C)2016 Elsevier Ltd 。 版权所有。

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