Low-pressure DME synthesis with Cu-based hybrid catalysts using temperature-gradient reactor

Omata, Kohji; Watanabe, Yuhsuke; Umegaki, Tetsuo; Ishiguro, Gunji; Yamada, Masahito

doi:10.1016/s0016-2361(02)00080-7

Cited by 53 publications

(21 citation statements)

References 10 publications

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“…As fuel processors and fuel cells are introduced to the public, dimethyl ether can be further exploited as a non-toxic, non-corrosive, environmentally benign hydrogen carrier produced from domestic resources. In addition, DME is also being used as an aerosol propellant to replace chlorofluoro carbons, which are found to destroy the ozone layer of the atmosphere [1].…”

Section: Introductionmentioning

confidence: 99%

In-situ regeneration mechanisms of hybrid catalysts in the one-step synthesis of dimethyl ether from syngas

Luan

Chong

et al. 2007

Catal Lett

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One-step synthesis of dimethyl ether (DME) from H 2 /CO has been studied in a fixed bed reactor over hybrid catalyst CuOZnOAl 2 O 3 /c-Al 2 O 3 -HZSM-5. The physicochemical properties of fresh and used catalysts were also studied by means of H 2 -TPR, XRD and N 2 O chemisorptions. The results showed that for deactivated catalysts by sintering, redox cycle was an effective method for in-situ regeneration. There were two different regeneration mechanisms according to various atmospheres: (i) For O 2 -syngas cycle, sintered Cu particles were re-dispersed and initial activity was restored mostly. The process was reversible, which was called reversible regeneration; (ii) for N 2 O (CO 2 )-syngas cycle, Cu particles could not be re-dispersed and catalytic activity was restored a little due to the regulation of surface state. On the other hand, this process could depress the deactivation velocity and was irreversible, which was called irreversible regeneration.

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Section: Introductionmentioning

confidence: 99%

In-situ regeneration mechanisms of hybrid catalysts in the one-step synthesis of dimethyl ether from syngas

Luan

Chong

et al. 2007

Catal Lett

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“…D. Wolf and M. Baerns of ACA-Berlin were the first to employ genetic algorithms for optimizing heterogeneous catalysts [6,8]. The evolutionary optimization is characterized by a stochastic approach.…”

Section: Methods Overviewmentioning

confidence: 99%

Application of Data Mining and Evolutionary Optimization in Catalyst Discovery and High‐Throughput Experimentation – Techniques, Strategies, and Software

et al. 2005

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Data-mining and evolutionary optimization techniques are powerful tools to improve the efficiency of high-throughput experimentation (HTE) to discover new materials, drugs, or catalysts. The parameter space of screening experiments is usually high-dimensional and the parameters are possibly discrete. The response surface of the screened systems can be very rugged, characterized by smooth planes as well as steep and narrow ascents of abundant sub-optima. These conditions make exclusive use of classical statistical design and data analysis inappropriate. Evolutionary strategies, neural networks, and data mining may be an efficient alternative. Using two examples, we show the practical benefit of design strategies which combine different techniques. The selection of the methods depends on the nature of the respective HTE problem. An optimal design strategy makes HTE more efficient, and reduces research costs and time to market. Furthermore, the early application of design strategy enables reliable statements about the feasibility of the research project.

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“…Many unconventional preparation routes have been adopted to obtain Cu-ZnO catalysts with improved activity, selectivity, resistance to poisons, and enhanced lifetime [38,[74][75][76][77][78]. In this frame, the SG method was largely adopted in order to increase the metal surface area along with the total surface area [79,80].…”

Section: Us-assisted Synthesis Of Cu-zno Catalysts and Of Their Impromentioning

confidence: 99%

Microwave, Ultrasound, and Mechanochemistry: Unconventional Tools that Are Used to Obtain “Smart” Catalysts for CO2 Hydrogenation

Manzoli

Bonelli

2018

Catalysts

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Abstract:The most recent progress obtained through the precise use of enabling technologies, namely microwave, ultrasound, and mechanochemistry, described in the literature for obtaining improved performance catalysts (and photocatalysts) for CO 2 hydrogenation, are reviewed. In particular, the main advantages (and drawbacks) found in using the proposed methodologies will be discussed and compared by focusing on catalyst design and optimization of clean and efficient (green) synthetic processes. The role of microwaves as a possible activation tool used to improve the reaction yield will also be considered.

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Low-pressure DME synthesis with Cu-based hybrid catalysts using temperature-gradient reactor

Cited by 53 publications

References 10 publications

In-situ regeneration mechanisms of hybrid catalysts in the one-step synthesis of dimethyl ether from syngas

In-situ regeneration mechanisms of hybrid catalysts in the one-step synthesis of dimethyl ether from syngas

Application of Data Mining and Evolutionary Optimization in Catalyst Discovery and High‐Throughput Experimentation – Techniques, Strategies, and Software

Microwave, Ultrasound, and Mechanochemistry: Unconventional Tools that Are Used to Obtain “Smart” Catalysts for CO2 Hydrogenation

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