This paper illustrates the optimization of a flat plate photocatalytic reactor through a computational framework coupling CFD, taking into account the radiation field modeling, and design of experiments (DoE). The CFD-based DoE approach was used to analyze the influence of the reactor’s height ($H$) and inlet velocity ($v_{x,in}$) on the $NO$ conversion ($X_{NO}$), the integral rate of $NO$ consumption and the pressure drop with Box-Cox power transformation ($\Delta P^{-0.15}$). Results showed that $X_{NO}$ increases when decreasing $H$ and $v_{x,in}$. A critical point of maximum was observed for the integral rate of $NO$ consumption. However, the pressure drop decreases with the increase of $H$. Additionally, an optimization strategy based on the desirability function approach was used to optimize the process, and the optimum values were $H$ = 7.78 mm and $v_{x,in}$ = 68 mm·s⁻¹. The values predicted by the metamodel and the CFD code showed promising results for this methodology.

本文通过考虑辐射场建模和实验设计（DoE），通过耦合CFD的计算框架说明了平板光催化反应器的优化。基于CFD的DoE方法用于分析反应堆高度的影响（$H$）和入口速度（$v_{X，\mathrm{一世}ñ}$） $ñØ$ 转换（$X_{ñØ}$），积分率 $ñØ$ Box-Cox功率转换带来的能耗和压降（$\Delta P^{--0.15}$）。结果表明$X_{ñØ}$ 减少时增加 $H$ 和 $v_{X，\mathrm{一世}ñ}$。观察到最大积分的临界点$ñØ$消费。但是，压降随着压力的增加而减小。$H$。另外，基于期望函数方法的优化策略被用于优化过程，并且最优值是$H$ = 7.78毫米， $v_{X，\mathrm{一世}ñ}$＝ 68mm·s ^-1。元模型和CFD代码所预测的值显示了该方法的可喜结果。