Abstract Production cost can be reduced in preparation of powdered activated coke (PAC) by achieving higher SO2 adsorption capacity and lower burn-off. In this study, for the rapid preparation of PAC from pulverized coal, response surface methodology (RSM) based on central composite design (CCD) was used to develop the second order quadratic models of SO2 adsorption capacity and burn-off. Analysis of variance (ANOVA) was used to determine the effective parameters of the two models, and to explain the accuracy and fitness of them. In addition, the 3D response surface plots illustrated the influencing rules of the variables and their interactions. Further, multi-objective optimization was performed to maximize SO2 adsorption capacity and minimize burn-off using the desirability function. Optimal process parameters obtained were: reaction temperature, 923.97 ℃; oxygen concentration, 5.89 % and vapor concentration, 20.04 %; and the corresponding prediction results were: SO2 adsorption capacity, 110.31 mg/g; burn-off, 47.45 %. Confirmation experiment at the optimal condition was carried out, and the experimental results were consistent with the model prediction results, further verifying the accuracy and fitness of the models. The optimization results would provide guidance for the design and operation adjustment of large-scale industrial applications in the future.

中文翻译：

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响应面法多目标优化吸附SO2粉状活性焦的制备参数

摘要 在粉状活性焦（PAC）的制备过程中，通过实现更高的 SO2 吸附能力和更低的燃烧率，可以降低生产成本。在本研究中，为了从煤粉中快速制备 PAC，基于中心复合设计 (CCD) 的响应面法 (RSM) 被用于开发 SO2 吸附容量和燃烧的二阶二次模型。方差分析（ANOVA）用于确定两个模型的有效参数，并解释它们的准确性和适应度。此外，3D 响应面图说明了变量及其相互作用的影响规则。此外，还进行了多目标优化，以使用合意性函数最大限度地提高 SO2 吸附能力并最大限度地减少烧掉。获得的最佳工艺参数为：反应温度、923.97℃；氧气浓度，5.89%，蒸气浓度，20.04%；对应的预测结果为：SO2吸附量，110.31 mg/g；燃尽，47.45%。在最优条件下进行了验证实验，实验结果与模型预测结果一致，进一步验证了模型的准确性和拟合度。优化结果将为未来大规模工业应用的设计和运行调整提供指导。进一步验证模型的准确性和适用性。优化结果将为未来大规模工业应用的设计和运行调整提供指导。进一步验证模型的准确性和适用性。优化结果将为未来大规模工业应用的设计和运行调整提供指导。