Panunzi Alessio, Moroni Monica, Mazzelli Alessio, Bravi Marco
Dipartimento di Ingegneria Chimica Materiali Ambiente, Università degli studi di Roma ″La Sapienza″, Via Eudossiana 18, Rome 00184, Italy.
Dipartimento di Ingegneria Civile Edile e Ambientale, Università degli studi di Roma ″La Sapienza″, Via Eudossiana 18, Rome 00184, Italy.
ACS Omega. 2022 Jul 14;7(29):25152-25163. doi: 10.1021/acsomega.2c01886. eCollection 2022 Jul 26.
Industrial bioreactors featuring inadequate geometry and operating conditions may depress the effectiveness and the efficiency of the hosted bioprocess. Computational fluid dynamics (CFD) can be used to find a suitable operating match between the target bioprocess and the available bioreactor. The aim of this work is to investigate the feasibility of addressing bioreactor improvement problems in the bioprocess industry with the aid of such mainstream tools as industry-standard CFD. This study illustrates how to effectively simulate both the impeller rotation and air supply and discusses the way toward model validation at the 4.1 m capacity scale. Referring to experimentally measured process values, the developed full-scale model successfully predicted the power draw, liquid phase level, and mixing time with errors lower than 4.6, 1.1, and 6.7%, respectively, thus suggesting the illustrated approach as a best practice design method for the bioprocess industry. The validated model was employed to improve performance by reducing the power draw in aerated conditions with a minimal operational derating.
几何形状和操作条件欠佳的工业生物反应器可能会降低所承载生物过程的有效性和效率。计算流体动力学（CFD）可用于在目标生物过程与可用生物反应器之间找到合适的操作匹配。这项工作的目的是研究借助行业标准CFD等主流工具解决生物过程工业中生物反应器改进问题的可行性。本研究说明了如何有效地模拟叶轮旋转和空气供应，并讨论了在4.1立方米容量规模下进行模型验证的方法。参考实验测量的过程值，所开发的全尺寸模型成功预测了功率消耗、液相液位和混合时间，误差分别低于4.6%、1.1%和6.7%，因此表明所示方法是生物过程工业的最佳实践设计方法。经验证的模型被用于通过在充气条件下以最小的运行降额来降低功率消耗来提高性能。
