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An algorithm for predicting the hydrodynamic and mass transfer parameters in bubble column and slurry bubble column reactors

机译:预测鼓泡塔和淤浆鼓泡塔反应器中流体力学和传质参数的算法

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A large number of experimental data points obtained in our laboratory as well as from the literature,covering wide ranges of reactor geometry (column diameter,gas distributor type/ open area),physicochemical properties (liquid and gas densities and molecular weights,liquid viscosity and surface tension,gas diffusivity,solid particles size/density),and operating variables (superficial gas velocity,temperature and pressure,solid loading,impurities concentration,mixtures) were used to develop empirical as well as Back-Propagation Neural Network (BPNN) correlations in order to predict the hydrodynamic and mass transfer parameters in bubble column reactors (BCRs) and slurry bubble column reactors (SBCRs).The empirical and BPNN correlations developed were incorporated in an algorithm for predicting gas holdups (epsilon_G,epsilon_(G-Small),epsilon_(G-Large));volumetric liquid-side mass transfer coefficients (k_La,k_La-small,k_La-Large);Sauter mean bubble diameters (d_s,d_(s-small),d_(s-Large));gas-liquid interfacial areas (a,a_(small,) a_(Large));and liquid-side mass transfer coefficients (k_L,k_(L-Large),k_(L-Small)) for total,small and large gas bubbles in BCRs and SBCRs.The developed algorithm was used to predict the effects of reactor diameter and solid (alumina) loading on the hydrodynamic and mass transfer parameters in the Fisher-Tropsch (F-T) synthesis for the hydrogenation of carbon monoxide in a SBCR,and to predict the effects of presence of organic impurities (which decrease the liquid surface tension) and air superficial mass velocity in the Loprox process for the wet air oxidation of organic pollutants in a BCR.In the F-T process,the predictions showed that increasing the reactor diameter from 0.1 to 7.0 m and/or increasing the alumina loading from 25 to 50 wt.% significantly decreased epsilon_G,k_La_(H2) and k_La_(CO) and increased ds.The decrease of the total gas holdup was found to be controlled by the holdup of small gas bubbles.The increase of the Sauter mean bubble diameter increased both k_(LH2) and k_(LCO),however,the decrease of the total gas holdup coupled with the increase of d_s resulted in a dramatic decrease of the gas-liquid interfacial area,a,and subsequently k_LaH2 and k_La_(CO).Thus,in the churn-turbulent flow regime,the hydrodynamic and mass transfer behaviors of the F-T SBCR were controlled by the holdup and the gas-liquid interfacial area of small bubbles.In the Loprox process,the predictions showed that increasing the liquid surface tension (removal of organic impurities from water) significantly increased d_s and decreased both epsilon_G and k_La_(O2).The decrease of the total gas holdup with increasing liquid-phase surface tension was due mainly to the decrease of the liquid-phase foamability which led to the decrease of the holdup of small gas bubbles.The increase of the Sauter mean bubble diameter and the decrease of the total gas holdup resulted in a strong decrease of the gas-liquid interfacial area,and subsequently k_La_(O2).Increasing the air superficial mass velocity increased epsilon_G,d_s,a,k_(L-O2) and k_La_(O2).Within the conditions used in the Loprox BCR,the hydrodynamics and mass transfer parameter behaviors of the process appeared also to be controlled by the gas holdup of small gas bubbles;and the gas-liquid interfacial area.
机译:在我们的实验室以及从文献中获得的大量实验数据点,涵盖了反应器的各种几何形状(色谱柱直径,气体分配器类型/开孔面积),理化性质(液体和气体的密度和分子量,液体粘度和使用表面张力,气体扩散率,固体颗粒尺寸/密度和操作变量(表观气体速度,温度和压力,固体载荷,杂质浓度,混合物)来建立经验和反向传播神经网络(BPNN)相关性为了预测鼓泡塔反应器(BCR)和浆液鼓泡塔反应器(SBCR)的流体力学和传质参数,将经验和BPNN相关性纳入了预测气体滞留率的算法(epsilon_G,epsilon_(G-Small) ,epsilon_(G-Large));体积液体侧传质系数(k_La,k_La-small,k_La-Large);苏特平均气泡直径(d_s,d_(s-small),d_(s-Large) );气-液界面面积(a,a_(small,)a_(Large));以及液体侧传质系数(k_L,k_(L-Large),k_(L-Small)) BCR和SBCR中的大气泡。所开发的算法用于预测反应器直径和固体(氧化铝)负载对Fisher-Tropsch(FT)合成中一氧化碳加氢的流体力学和传质参数的影响。 SBCR,并预测Loprox工艺中有机杂质的存在(降低液体表面张力)和空气表面质量速度对BCR中有机污染物的湿空气氧化的影响。在FT工艺中,预测表明:将反应器直径从0.1增加到7.0 m和/或将氧化铝负载从25 wt。%增加到显着降低epsilon_G,k_La_(H2)和k_La_(CO)并增加ds。由小气泡的滞留控制。平均气泡直径都增加了k_(LH2)和k_(LCO),但是,总气体滞留量的减少与d_s的增加导致气液界面面积a急剧减小,随后k_LaH2和k_La_ (CO)。因此,在搅动湍流状态下,FT SBCR的水动力和传质行为受小气泡的滞留率和气液界面面积的控制。在Loprox过程中,预测表明增加液体表面张力(从水中去除有机杂质)显着增加了d_s,同时降低了epsilon_G和k_La_(O2)。随着液相表面张力的增加,总含气量的减少主要是由于液相的减少发泡性导致小气泡的滞留量减少。Sauter平均气泡直径的增加和总气体滞留量的减少导致气液界面面积和子序列的强烈减少。 tly k_La_(O2)。增加空气的表面质量速度会增加epsilon_G,d_s,a,k_(L-O2)和k_La_(O2)。在Loprox BCR中使用的条件下,该过程的流体动力学和传质参数行为似乎还受小气泡的气体滞留和气液界面面积的控制。

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