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HYDRODYNAMIC AND MASS TRANSFER PARAMETERS IN LARGE-SCALE SLURRY BUBBLE COLUMN REACTORS

机译:大型稀浆鼓泡塔反应器的水力传递及传质参数

摘要

The design, modeling, optimization and scaleup of slurry bubble column reactors (SBCRs) require, among others, the knowledge of the kinetics, hydrodynamics, and mass as well as heat transfer characteristics in larger-scale reactors, operating under typical industrial conditions. In this study, the hydrodynamic (gas holdup, ƒÕG, bubble size distribution, dB, and the Sauter-mean bubble diameter, d32), gas solubility (C*) and mass parameters (gas-liquid interfacial area, a, and volumetric liquid-side mass transfer coefficient, kLa) were measured for various gases (H2, CO, N2, CH4 and He) in an organic liquid (Isopar-M) in the absence and presence of two different solids (glass beads and alumina powder) in two large-scale SBCRs. The data for the five gases were obtained in a cold SBCR (0.301 m ID) under wide ranges pressures (P = 1-8 bar), temperatures (T = 293-305 K), superficial gas velocities (UG = 0.08-0.20 m/s), and solid concentrations (CV = 0-36 vol.%); and the data for He and N2 were obtained in a hot SBCR (0.29 m ID) under wide ranges pressures (P = 7-25 bar), temperatures (T = 323-453 K), superficial gas velocities (UG = 0.08-0.30 m/s), and solid concentrations (CV =0-20 vol.%). All the experiments and the operating ranges were selected following the Central Composite Statistical Design (CCSD) approach. The experimental data obtained showed that the gas holdup and volumetric liquid-side mass transfer coefficients increased with pressure due to the increase of small gas bubbles holdup; increased with superficial gas velocity due to the increase of the gas momentum; and significantly decreased with solid concentration due to a reduction of small gas bubble population. The gas holdup and volumetric liquid-side mass transfer coefficients were found to increase with temperature due to the decrease of the Sauter mean bubble diameter and increase of the mass transfer coefficient (kL). The gas holdup, however, was found to decrease with temperature when the solid concentration was greater or equal 15 vol.% due to the reduction of froth stability under such conditions.Empirical and back propagation neural network (BPNN) models were developed to correlate the hydrodynamic and mass transfer parameters in BCRs and SBCRs obtained in our laboratory and those from the literature. The developed models were then used to predict the effects of pressure, superficial gas velocity, temperature and catalyst loading on the total syngas holdup and mass transfer coefficients for the Low-Temperature Fischer-Tropsch (LTFT) synthesis carried out in a 5 m ID SBCR with iron oxides and cobalt-based catalysts. The predicted total syngas holdup and mass transfer coefficients appeared to increase with reactor pressure, superficial gas velocity and the number of orifices in the gas sparger. The predicted values, however, were found to decrease with catalyst loading and reactor temperature. Also, under similar LTFT operating conditions (P = 30 bar, T = 513 K, CW = 30 and 50 wt%), the total syngas holdup and mass transfer coefficients predicted for H2/CO ratio of 2:1 with cobalt-based catalyst were consistently lower than those obtained for H2/CO ratio of 1:1 with iron oxide catalyst in the superficial gas velocity range from 0.005 to 0.4 m/s.
机译:淤浆鼓泡塔反应器(SBCR)的设计,建模,优化和按比例放大需要在典型工业条件下运行的大型反应器的动力学,流体动力学和质量以及传热特性等方面的知识。在这项研究中,流体动力学(气体滞留率,ƒG,气泡尺寸分布,dB和Sauter平均气泡直径d32),气体溶解度(C *)和质量参数(气液界面面积,a和体积液体)在不存在和存在两种不同固体(玻璃珠和氧化铝粉)的情况下,测量有机液体(Isopar-M)中各种气体(H2,CO,N2,CH4和He)的气体传质系数kLa)。两个大型SBCR。在低温SBCR(0.301 m ID),宽范围压力(P = 1-8 bar),温度(T = 293-305 K),表观气速(UG = 0.08-0.20 m)下获得了这五种气体的数据/ s)和固体浓度(CV = 0-36 vol。%); He和N2的数据是在较宽的压力(P = 7-25 bar),温度(T = 323-453 K),表观气体速度(UG = 0.08-0.30)的热SBCR(0.29 m ID)中获得的m / s)和固体浓度(CV = 0-20 vol。%)。所有实验和操作范围均遵循中央综合统计设计(CCSD)方法进行选择。实验数据表明,由于小气泡滞留量的增加,气体滞留量和液体侧体积传质系数随压力的增加而增加。由于气体动量的增加,随着表观气体速度的增加而增加;并由于减少了小气泡而使固体浓度显着降低。由于Sauter平均气泡直径的减小和传质系数(kL)的增加,气体滞留率和液体侧体积传质系数随温度增加而增加。然而,当固体浓度大于或等于15 vol。%时,由于在这种条件下泡沫稳定性降低,气体滞留量随温度降低。建立了经验和反向传播神经网络(BPNN)模型来关联在我们实验室和文献中获得的BCR和SBCR中的流体动力学和传质参数。然后将开发的模型用于预测在5 m ID SBCR中进行的低温费托合成(LTFT)的压力,表观气体速度,温度和催化剂负载量对总合成气滞留量和传质系数的影响与氧化铁和钴基催化剂。预测的总合成气滞留量和传质系数似乎随着反应堆压力,表面气体速度和气体分布器中孔口的数量而增加。然而,发现预测值随催化剂负载和反应器温度而降低。同样,在类似的LTFT操作条件下(P = 30 bar,T = 513 K,CW = 30和50 wt%),使用钴基催化剂预测的H2 / CO比为2:1时,总合成气含气量和传质系数在0.005至0.4 m / s的表观气体速度范围内,它们始终低于使用氧化铁催化剂的H2 / CO比为1:1的情况。

著录项

  • 作者

    Behkish Arsam;

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  • 年度 2005
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  • 原文格式 PDF
  • 正文语种 en
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