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采用计算流体动力学(CFD)和统计方法优化惰性颗粒喷动床反应器(IPSBR)系统中的平均风速和空气体积分数。

CFD and statistical approach to optimize the average air velocity and air volume fraction in an inert-particles spouted-bed reactor (IPSBR) system.

作者信息

Mohammad A, Mourad A A H I, Al-Marzouqi A H, El-Naas M H, Van der Bruggen B, Al-Marzouqi M, Alnaimat F, Suleiman M, Al Musharfy M

机构信息

Department of Chemical and Petroleum Engineering, UAE University, Al Ain, United Arab Emirates.

Academic Support Department, Abu Dhabi Polytechnic, Institute of Applied Technology, Abu Dhabi, United Arab Emirates.

出版信息

Heliyon. 2021 Mar 2;7(3):e06369. doi: 10.1016/j.heliyon.2021.e06369. eCollection 2021 Mar.

DOI:10.1016/j.heliyon.2021.e06369
PMID:33732924
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7937751/
Abstract

Inert-particles spouted bed reactor (IPSBR) is characterized by intense mixing generated by the circular motion of the inert particles. The operating parameters play an important role in the performance of the IPSBR system, and therefore, parameter optimization is critical for the design and scale-up of this gas-liquid contact system. Computational fluid dynamics (CFD) provides detailed modeling of the system hydrodynamics, enabling the determination of the operating conditions that optimize the performance of this contact system. The present work optimizes the main IPSBR operating parameters, which include a feed-gas velocity in the range 0.5-1.5 m/s, orifice diameter in the range 0.001-0.005 m, gas head in the range 0.15-0.35 m, mixing-particle diameter in the range 0.009-0.0225 m, and mixing-particle to reactor volume fraction in the range 2.0-10.0 vol % (which represents 0.01-0.1 kg of mixing particles loading). The effects of these parameters on the average air velocity and average air volume fraction in the upper, middle, and conical regions of the reactor were studied. The specific distance for each region has been measured from the orifice point to be 50 mm for the conical region, 350 mm for the middle region and 550 mm for the upper rejoin. The selected factors were optimized to obtain the minimum air velocity distribution (maximum gas residence time) and the maximum air volume fraction (maximum interfacial area concentration) because these conditions will increase the gas holdup, the gas-liquid contact area, and the mass transfer coefficient among phases. Response surface methodology (RSM) was used to determine the optimum operating conditions. The regression analysis showed an excellent fit of the experimental data to a second-order polynomial model. The interaction between the process variables was evaluated using the obtained three-dimensional surface plots. The analysis revealed that under the optimized parameters of a feed-gas velocity of 1.5 m/s, orifice diameter of 0.001 m, gas head of 0.164 m, mixing-particle diameter of 0.0225 m, and mixing-particle loading of 0.02 kg, the minimum average air velocity and highest air volume fraction were observed throughout the reactor.

摘要

惰性颗粒喷动床反应器(IPSBR)的特点是惰性颗粒的圆周运动产生强烈混合。操作参数对IPSBR系统的性能起着重要作用,因此,参数优化对于该气液接触系统的设计和放大至关重要。计算流体动力学(CFD)提供了系统流体动力学的详细模型,能够确定优化该接触系统性能的操作条件。本工作对IPSBR的主要操作参数进行了优化,这些参数包括进料气体速度在0.5 - 1.5 m/s范围内、孔板直径在0.001 - 0.005 m范围内、气头在0.15 - 0.35 m范围内、混合颗粒直径在0.009 - 0.0225 m范围内以及混合颗粒与反应器体积分数在2.0 - 10.0 vol%范围内(这代表0.01 - 0.1 kg的混合颗粒装载量)。研究了这些参数对反应器上部、中部和锥形区域的平均空气速度和平均空气体积分数的影响。每个区域的特定距离已从孔板点测量得出,锥形区域为50 mm,中部区域为350 mm,上部区域为550 mm。对选定的因素进行了优化,以获得最小空气速度分布(最大气体停留时间)和最大空气体积分数(最大界面面积浓度),因为这些条件将增加气体滞留量、气液接触面积以及相间传质系数。采用响应面方法(RSM)来确定最佳操作条件。回归分析表明实验数据与二阶多项式模型拟合良好。使用获得的三维表面图评估了过程变量之间的相互作用。分析表明,在进料气体速度为1.5 m/s、孔板直径为0.001 m、气头为0.164 m、混合颗粒直径为0.0225 m以及混合颗粒装载量为0.02 kg的优化参数下,整个反应器内观察到了最小平均空气速度和最高空气体积分数。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50fa/7937751/b89bf8059347/gr15.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50fa/7937751/b89bf8059347/gr15.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50fa/7937751/9fff2e145143/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50fa/7937751/53ee708ee7c8/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50fa/7937751/7b1f9d6ad256/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50fa/7937751/387415333012/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50fa/7937751/29b50aad0882/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50fa/7937751/627b29061a37/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50fa/7937751/907d3e2e56cc/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50fa/7937751/58775301e737/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50fa/7937751/397a0e2259a8/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50fa/7937751/cdc9987c2390/gr10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50fa/7937751/616827fb3e7b/gr11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50fa/7937751/99d7c3ecf8ca/gr12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50fa/7937751/416f3e77b58b/gr13.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50fa/7937751/b69d0511408c/gr14.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50fa/7937751/b89bf8059347/gr15.jpg

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