Low-Temperature Ammonia Synthesis with an In Situ Adsorber under Regenerative Reaction Cycles Surpassing Thermodynamic Equilibrium

IF 4.3 Q2 ENGINEERING, CHEMICAL
William J. Movick, Yuuka Kubo, Fuminao Kishimoto and Kazuhiro Takanabe*, 
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引用次数: 1

Abstract

Catalytic NH3 synthesis is a well-studied reaction, but its use in renewable energy storage is difficult due to the need for small-scale production, requiring greatly reduced operating temperatures and pressures. NH3 inhibition on supported Ru catalysts becomes more prevalent at low temperatures, decreasing the reaction rates. In addition, promoter species are prone to oxidation at lower temperatures, further depressing the reaction rate. In situ NH3 removal techniques have the potential to enhance NH3 synthesis under milder conditions to combat both NH3 inhibition and thermodynamic limitations, while the regeneration of the adsorber can potentially reactivate promoter species. The deactivation event of 5 wt % Ru/CeO2 (3.9 nm average Ru particle size) was first explored in detail, and it was found that slight oxidation of Ce3+ promoter species is the major cause of deactivation at lower temperatures, which is easily restored by high-temperature H2 treatment. Ru/CeO2 was then mixed with zeolite 4A, a substance showing favorable NH3 capacity under mild reaction conditions. In situ adsorption of NH3 significantly increased the reaction rate of Ru/CeO2 at 200 °C with 5 kPa H2 and 75 kPa N2, where the reaction rate increased from 128 to 565 μmol g–1 h–1 even at low H2 conversions of 0.25% (average NH3 yield of 0.01%). The temperature swings that were utilized to measure NH3 uptake on zeolite 4A were also found to provide a reactivation event for Ru/CeO2. In situ NH3 removal went beyond equilibrium limitations, achieving H2 conversions up to 98%. This study sheds light on the kinetics of the use of in situ NH3 removal techniques and provides insight into future designs utilizing similar techniques.

Abstract Image

超过热力学平衡的再生反应循环下原位吸附器低温氨合成
催化NH3合成是一种被充分研究的反应,但由于需要小规模生产,需要大大降低操作温度和压力,其在可再生能源存储中的应用很困难。NH3对负载钌催化剂的抑制作用在低温下更为普遍,降低了反应速率。此外,促进剂在较低的温度下容易氧化,进一步降低了反应速率。原位NH3去除技术有可能在更温和的条件下提高NH3的合成,以对抗NH3的抑制和热力学限制,而吸附器的再生可以潜在地重新激活启动子。首次详细探讨了5 wt % Ru/CeO2 (Ru平均粒径3.9 nm)的失活事件,发现Ce3+启动子的轻微氧化是低温失活的主要原因,高温H2处理容易恢复。然后将Ru/CeO2与4A沸石混合,4A沸石在温和的反应条件下具有良好的NH3容量。在200℃、5 kPa H2和75 kPa N2条件下,NH3的原位吸附显著提高了Ru/CeO2的反应速率,即使在低H2转化率0.25%(平均NH3产率0.01%)下,反应速率也从128 μmol g-1 h-1提高到565 μmol g-1 h-1。用于测量4A沸石上NH3吸收率的温度波动也被发现为Ru/CeO2提供了一个再活化事件。原位NH3脱除超出平衡极限,H2转化率高达98%。该研究揭示了原位NH3去除技术的使用动力学,并为利用类似技术的未来设计提供了见解。
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来源期刊
ACS Engineering Au
ACS Engineering Au 化学工程技术-
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期刊介绍: )ACS Engineering Au is an open access journal that reports significant advances in chemical engineering applied chemistry and energy covering fundamentals processes and products. The journal's broad scope includes experimental theoretical mathematical computational chemical and physical research from academic and industrial settings. Short letters comprehensive articles reviews and perspectives are welcome on topics that include:Fundamental research in such areas as thermodynamics transport phenomena (flow mixing mass & heat transfer) chemical reaction kinetics and engineering catalysis separations interfacial phenomena and materialsProcess design development and intensification (e.g. process technologies for chemicals and materials synthesis and design methods process intensification multiphase reactors scale-up systems analysis process control data correlation schemes modeling machine learning Artificial Intelligence)Product research and development involving chemical and engineering aspects (e.g. catalysts plastics elastomers fibers adhesives coatings paper membranes lubricants ceramics aerosols fluidic devices intensified process equipment)Energy and fuels (e.g. pre-treatment processing and utilization of renewable energy resources; processing and utilization of fuels; properties and structure or molecular composition of both raw fuels and refined products; fuel cells hydrogen batteries; photochemical fuel and energy production; decarbonization; electrification; microwave; cavitation)Measurement techniques computational models and data on thermo-physical thermodynamic and transport properties of materials and phase equilibrium behaviorNew methods models and tools (e.g. real-time data analytics multi-scale models physics informed machine learning models machine learning enhanced physics-based models soft sensors high-performance computing)
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