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What happens in a catalytic fixed-bed reactor for n-butane oxidation to maleic anhydride? Insights from spatial profile measurements and particle resolved CFD simulations

机译:催化固定床反应器发生的是用于马来酸酐的正丁烷氧化剂? 空间轮廓测量和粒子的见解解决的CFD模拟

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Industrial catalytic reactors are made of steel, operate at high temperatures and pressures and contain hazardous chemicals. What happens inside remains hidden. Reactor optimization requires costly trial and error or is based on simplified mathematical models employing more or less accurate transport correlations and reaction kinetics. In the present work a pilot-scale fixed-bed reactor was developed for measuring concentration and temperature profiles for n-butane oxidation to maleic anhydride on vanadyl pyrophosphate catalyst pellets under industrially-relevant conditions. The reactor was equipped with five heating zones. The reactor was modeled by particle-resolved computational fluid dynamics. The catalyst bed was created by discrete element simulation and the result was validated by comparison with experimental radial porosity profiles. Catalytic chemistry was included by a kinetic model of intrinsic reaction rates. Transport resistances and packing deviations were lumped in reaction rate multipliers determined by fitting the model to profiles measured at a uniform reactor wall temperature. Simulation results reveal strong inhomogeneities inside the bed. A hot-spot develops at uniform wall temperature. At this hot-spot temperature differences of 40 K exist on one and the same pellet with negative impact on maleic anhydride selectivity and catalyst lifetime. An optimized wall temperature profile was derived by combining knowledge from the experimental profiles at uniform wall temperature and the CFD results. A gradual increasing temperature was predicted by the model to eliminate the hot-spot and increase integral maleic anhydride selectivity at constant n-butane conversion. This prediction was confirmed by experiment. At 80% n-butane conversion the maleic anhydride selectivity could be improved by 2%. Facing the scale of the process, this improvement translates into significant n-butane savings, reduced COx emissions and increased revenue.
机译:工业催化反应器由钢制成,在高温和压力下操作,含有危险化学品。内部发生了什么仍然隐藏。反应堆优化需要昂贵的试验和错误,或者基于采用或多或少准确的传输相关性和反应动力学的简化数学模型。在本作品中,开发了一种试验规模的固定床反应器,用于在工业上相关条件下测量对钒酰焦磷酸盐催化剂颗粒上的马来酸酐对马来酸酐的浓度和温度曲线。反应器配有五个加热区。反应器被粒子分辨的计算流体动力学建模。通过离散的元件模拟产生催化剂床,并通过与实验径向孔隙率分布进行比较验证结果。催化化学由内在反应速率的动力学模型包括。通过将模型装配到在均匀的反应器壁温处测量的曲线确定的反应速率乘体中,传输电阻和包装偏差被集中在反应速率倍增器中。仿真结果显示床内的强不均匀性。在均匀壁温下发育出来的热点。在这种热处理温度下,40 k的差异存在于同一颗粒上,对马来酸酐选择性和催化剂寿命产生负面影响。通过将知识与均匀壁温度和CFD结果组合来源的知识来衍生优化的壁温度曲线。模型预测了逐渐增加的温度,以消除热点,并在恒定正丁烷转化时增加积分马来酸酐选择性。通过实验证实了这种预测。在80%正丁烷转化时,马来酸酐选择性可以提高2%。面对该过程的规模,这种改进转化为显着的正丁烷储蓄,减少了Cox排放和增加的收入。

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