Current methods for determining gas–liquid mass transfer or reaction performance in micropacked bed reactors (μPBRs) are inefficient and complex, hindering their application in high throughput screening, process optimization, and online monitoring. New fast determining technology is highly required. This study introduced an innovative soft measurement technology for reliable determining of gas–liquid mass transfer by directly correlating pressure drop with mass transfer coefficients through online measurement. We systematically analyzed the effect of various factors, including two-phase flow rate, packing particle size, front-end predispersion, gas composition, and liquid concentration on gas–liquid flow pressure drop and mass transfer in μPBRs. A predictive mathematical model for mass transfer coefficients was successfully established, and its capacity was successfully validated in the hydrogenation experiments within the Riedl–Pfleiderer process. This technology offers a fast, reliable, and real-time online approach for process monitoring, process optimization, and rapid catalyst screening within μPBRs.

中文翻译：

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通过在线直接测量压降，快速可靠地测定微填充床中的气-液传质


目前在微填充床反应器 （μPBR） 中测定气液传质或反应性能的方法效率低下且复杂，阻碍了它们在高通量筛选、工艺优化和在线监测中的应用。非常需要新的快速确定技术。本研究引入了一种创新的软测量技术，通过在线测量将压降与传质系数直接关联起来，从而可靠地确定气-液传质。我们系统分析了各种因素的影响，包括两相流速、填料粒径、前端预分散、气体成分和液体浓度对 μPBR 中的气液流动压降和传质的影响。成功建立了传质系数的预测数学模型，并在 Riedl-Pfleiderer 工艺的加氢实验中成功验证了其容量。该技术为 μPBR 中的工艺监测、工艺优化和快速催化剂筛选提供了一种快速、可靠和实时的在线方法。