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首页> 外文期刊>Chemical Engineering Communications >Reliable Laboratory Reactor Data Analysis: Evaluation of Commercial FCC Catalysts in a Batch Fluidized Bed Reactor
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Reliable Laboratory Reactor Data Analysis: Evaluation of Commercial FCC Catalysts in a Batch Fluidized Bed Reactor

机译:可靠的实验室反应器数据分析:批处理流化床反应器中商用FCC催化剂的评估

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摘要

Statistical techniques for the treatment and analysis of experimental data from laboratory reactors were considered, as applied to a CREC Riser Simulator reactor for the example of fluid catalytic cracking catalyst evaluation. Deviations in mass balances were reconciliated considering the variance in each product mass. After reconciliations, simple optimum performance envelope curves were used to fit the data due to their simplicity and proper representation of the yield curves. In the data fitting step, errors in both dependent and independent variables were considered by using information obtained in the reconciliation procedure. The impact of different levels of confidence bands in the models on the discrimination of experimental results was discussed. Significant improvements in catalyst evaluation could be achieved either in the CREC Riser Simulator or other types of laboratory reactors with the help of the statistical procedures described here without increasing substantially the number of experiments.
机译:考虑了用于处理和分析来自实验室反应器的实验数据的统计技术,该技术应用于流式催化裂化催化剂评估的CREC Riser Simulator反应器。考虑到每种产品质量的差异,对质量平衡的差异进行调和。对帐后,由于其简单性和正确的屈服曲线表示,使用了简单的最佳性能包络曲线来拟合数据。在数据拟合步骤中,通过使用对帐过程中获得的信息来考虑因变量和自变量中的误差。讨论了模型中不同级别的置信带对区分实验结果的影响。借助此处所述的统计程序,可以在CREC Riser Simulator或其他类型的实验室反应器中实现催化剂评估的显着改善,而无需实质上增加实验数量。

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