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Modification of Cu-Based Catalyst System for Co-production of Methanol and Dimethylether

机译:Cu基催化剂体系用甲醇和二甲醚共产生的催化剂体系

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Dimethylether (DME) is the simplest ether, which has outstanding physical and chemical properties in many areas including oxygenated fuels and industrial chemicals. Since DME only contains C, H, and O elements, no NOX and SOX emission is generated during the combustion of DME. The high oxygen content of DME also alleviates the emission of CO as well, which is a common product of incomplete combustion. It is also reported that DME has a higher cetane number (CN) than the conventional petrodiesel. Therefore, DME is regarded as a promising substitute for petrodiesel as well as a cetane enhancer. Besides the advantages of using DME as fuel, the recently developed processes of producing lower olefins like ethylene and propylene [1], gasoline range boiling hydrocarbons [2], industrial chemicals such as oxygenates [3], methyl acetate [4], and ethylene glycol intermediate like dimethoxyethane (DMET) [5] make a strong case for DME to become a promising building block chemical for the synthesis chemistry. Co-production of methanol and DME under a dual catalyst system of Cu/ZnO/Al2O3 and γ-Al2O3 has been developed for years. However, deactivation of the methanol synthesis catalyst is nontrivial, thus rendering a practical applicability problem of the system. This problem is at least partially caused by the growth of the copper crystallite size of the catalyst during the synthesis reaction. It is reported that the crystallite size of Cu could increase from an average of 37 angstroms to 109 angstroms after thermal aging under CO-free or CO2-free syngas only for short periods of time-on-stream [6]. The aged catalyst only provides 78% of the original reactivity [7]. Besides the accelerated growth of the catalyst’s copper crystallite size, deactivation of the catalyst can also be triggered by accumulation (i.e., build-up) of water in the catalyst pores, which could promote the mechanical breakdown of the catalyst while reducing the overall reaction conversion. Therefore, understanding of the detailed catalytic mechanism and developing a more robust catalyst are the key challenges for improving the efficiency of the DME production. In this study, supercritical fluid treatment is performed as a pre-treatment step for the unreduced catalyst of CuO/ZnO/Al2O3 to eventually improve the catalytic reactivity of the reduced (activated) catalyst. The supercritical treatment is carried out in a stainless steel autoclave-based reactor system. Chemically pure CO2 is compressed by a booster pump and stored in a CO2 storage vessel. A certain metered amount of CO2 will be fed into the reactor from the bottom (Figure 1). Prior to the supercritical treatment, the catalyst loaded reactor will be purged and rinsed by gaseous CO2 three times to remove the residual moisture and air. Then, the system will be pressurized to a desired supercritical condition gradually, according to the estimated P-V-T values using the Peng-Robinson equation of state. Different temperatures, pressures, and treatment times are compared to find the most effective and beneficial combinations for this treatment step.
机译:二甲醚(DME)是最简单的醚,其具有在许多领域,包括含氧燃料和工业化学品优异的物理和化学性质。由于DME仅包含C,H和O的元素,DME的燃烧过程中不产生NOx和SOx排放。 DME的高氧含量还缓解了CO的排放,以及,这是不完全燃烧的普通产品。也有报道说DME具有比常规石油柴油更高的十六烷值(CN)。因此,二甲醚被视为石油柴油有望替代以及十六烷值增强剂。除了使用二甲醚作为燃料的优点,最近开发的生产低级烯烃如乙烯和丙烯[1],汽油范围内沸腾的烃类[2],工业化学品如含氧化合物[3],乙酸甲酯[4],和乙烯的流程乙二醇等二甲氧基乙烷(DMET)中间体[5]使一个强大的情况下为DME成为用于合成化学的一个有前途的结构单元的化学物质。铜/氧化锌/ Al2O3和γ-Al2O3组成的双功能催化剂体系中共同生产甲醇和二甲醚已经进行多年开发。然而,甲醇合成催化剂的失活是平凡的,因而使系统的实用性的问题。此问题是至少部分地由该催化剂的铜晶粒尺寸的合成反应过程中的生长而引起的。据报道,Cu的微晶尺寸可以从平均37埃至109埃下CO-不含或不含CO 2的合成气热老化之后增加仅用于时间上流[6]短周期。老化催化剂只提供原来的反应[7]的78%。除了催化剂的铜晶粒尺寸的加速增长,催化剂的失活也可以通过积累触发(即,堆积)在催化剂的水孔,这可能会促进催化剂的机械故障,同时降低总反应转化率。因此,详细的催化机理的认识和发展一个更强大的催化剂是提高二甲醚生产效率的关键挑战。在这项研究中,超临界流体处理,作为的CuO / ZnO / Al2O3复合的最终改善还原(活化的)催化剂的催化反应性的未还原催化剂预处理步骤中进行。超临界处理是在基于高压釜不锈钢反应器系统中进行。化学纯的CO 2是由增压泵压缩并存储在CO 2储存容器中。 CO2的某一计量量将被送入从底部(图1)的反应器中。超临界处理之前,将催化剂载入反应器将被清除,并通过气态CO 2冲洗三次以除去残余的水分和空气。然后,系统将被加压以逐渐期望的超临界条件,根据使用状态的彭罗宾逊方程估计的P-V-T的值。不同的温度,压力和处理时间进行比较,以找出该处理步骤是最有效和有益的组合。

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