共查询到20条相似文献,搜索用时 78 毫秒
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近二十年来,我国的加氢裂化催化剂不断发展,步入了一个新的发展阶段。本文通过回顾加氢裂化工艺的发展路程,着重介绍研究开发的催化剂的应用情况,以此来分析加氢裂化催化剂失活的原因。求得解决方法使其得以恢复。 相似文献
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择形催化剂失活原因初步分析 总被引:2,自引:0,他引:2
研究考察了择形催化剂XC-90和HMC-60的使用寿命,发现在相同再生条件下,两种催化剂失活速度相差较大,从两种催化剂的酸性质,孔结构和组成方面上述结果进行了分析与讨论。 相似文献
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针对陕西渭河煤化工集团变换系统初次使用的国外某知名品牌耐硫变换催化剂存在的问题,进行了一系列分析检测,并对该炉催化剂的失活原因进行了分析,制定和实施了相应的对策。 相似文献
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主要介绍了甲醇合成铜基催化剂及其催化机理,并从制备条件和反应条件等方面对催化剂活性的影响因素进行了探讨,最后对造成催化剂失活的因素进行了具体研究。 相似文献
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简述了T-Star沸腾床加氢工艺的特点及优势。分析了T-Star催化剂的失活原因,合理的催化剂置换速率可将催化剂上的积炭、Fe和Ca的沉积量维持相对稳定;而磨损导致催化剂藏量降低对整体活性的影响较小。探讨了催化剂整体更换和日常置换两种不同使用方案的优劣。最后提出了开发新型催化剂和优化使用方案是今后工作的重点。 相似文献
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MTBE广泛的应用于汽油产品的调和,是近些年发展最快的石油化工产品之一。针对MTBE装置在运行过程中遇到的催化剂使用寿命短的问题,从仪器角度分析催化剂的失活原因,引起催化剂失活的最主要问题是:催化剂的活性中心的氢离子被碱性阳离子取代;催化剂上的磺酸根脱落;催化剂微孔被堵塞。分析了对应的解决方案。青岛炼化的MTBE装置前两个周期较短,但从2011年7月对MTBE装置的改造后的运行情况看,效果十分显著,延长了催化剂的使用时间,提高了MTBE装置的运行周期。 相似文献
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M. R. Rahimpour 《化学工程与技术》2006,29(5):616-624
Bifunctional naphtha reforming catalysts are deactivated by side reactions such as coking, sintering, and poisoning in the course of industrial operation. This results in a reduction of the octane number of the product in a commercial naphtha reforming unit. Catalyst deactivation is compensated for by increasing the operating temperature so that the primary product yields are kept constant during an operating cycle. In the present study, a deactivation model has been developed for industrial catalytic naphtha reformers. The parameters for the deactivation model have been estimated using plant data. The results of the model show that increasing the reactor weighted average inlet temperature (WAIT) can offset the decrease in aromatic yield. Concentration and temperature profiles have been obtained to provide information about the extent of conversion in the individual reactors. Reactor inlet temperature is an important parameter, which can significantly affect reformer performance, the aromatic yield increasing with an increase in temperature. 相似文献
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A method for estimating the effectiveness factor in a catalytic pellet submitted to deactivation using neural networks is proposed. When a catalyst is deactivated by poisoning, the function η = η (t,ϕ) presents a minimum when strong diffusional resistances exist. In this particular case, the few methods published in the literature are not able to calculate η. A feedforward neural network trained with the back‐propagation algorithm was used to estimate the effectiveness factor. This methodology is especially useful when the function η = η (t,ϕ) presents a minimum. The predicted values using the neural network successfully fit those obtained solving the differential equation system. An extrapolation using temperatures outside the training range can be satisfactorily performed. 相似文献
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针对车间MTBE装置催化剂使用周期短,结合装置所使用的原料及工艺,对催化剂失活原因进行分析,并进行相应对策的探讨。 相似文献
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