Novel copper foam with ordered hole arrays as catalyst support for methanol steam reforming microreactor

Liu, Yangxu; Zhou, Wei; Lin, Yu; Lu, Chunmei; Chu, Xia; Zheng, Tianqing; Wan, Shaolong; Lin, Jingdong

doi:10.1016/j.apenergy.2019.03.199

Cited by 74 publications

(12 citation statements)

References 68 publications

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“…There have been many excellent researchers who have chosen emerging microreactor technology to synthesize organic compounds and achieve better results. [23][24][25][26][27] Therefore, the significant market demand for ethyl methyl oxalate could be overcome by the establishment of such microchemical plants. As far as we know, the transesterification of ethyl methyl oxalate in a microreactor has not been reported.…”

Section: Introductionmentioning

confidence: 99%

Microreactor technology for synthesis of ethyl methyl oxalate from diethyl oxalate with methanol and its kinectics

Ding

Zhong

2020

Can J Chem Eng

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This study focused on the performances and kinetics of the transesterification reaction of diethyl oxalate with methanol to prepare ethyl methyl oxalate via microreactor technology. The conversion of 79.8% of diethyl oxalate (DEO) and the selectivity of 65.9% of ethyl methyl oxalate (EMO) was obtained under the following optimized conditions: the mole ratio of methanol to diethyl oxalate was 3.3:1, the temperature was 35 C, the K 2 CO 3 catalyst concentration was 15 mg/mL, and the residence time was 2.30 minutes. In the temperature range of 25 C to 38 C, the simplified dynamic model was found to obtain the reaction order (α = 2.30), frequency factor (k 0 = 2.377 × 10 5), and apparent activation energy (E = 31.86 kJ/mol). The macroscopic dynamic equation was derived from the experimental result of the transesterification reaction of two feedstocks, which can be obtained through a series of calculations.

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Section: Introductionmentioning

confidence: 99%

Microreactor technology for synthesis of ethyl methyl oxalate from diethyl oxalate with methanol and its kinectics

Ding

Zhong

2020

Can J Chem Eng

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“…investment casting and space holder techniques) have been reviewed and compared to the sponge replica process, for the production of aluminum and copper open cell foams (Sutygina et al, 2020a). Recently, Liu et al proposed an alternative approach for the production of copper-based internals for the manufacturing of methanol steam reforming micro-reactors (Liu et al, 2019). It consisted in a laser processing method to fabricate the copper foams with hole arrays, determining an improvement of the radial distribution uniformity and an increase of the axial flow rates of the reactants under reaction conditions.…”

Section: Open Cell Foamsmentioning

confidence: 99%

Recent Advances in the Development of Highly Conductive Structured Supports for the Intensification of Non-adiabatic Gas-Solid Catalytic Processes: The Methane Steam Reforming Case Study

et al. 2022

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Structured catalysts are strong candidates for the intensification of non-adiabatic gas-solid catalytic processes thanks to their superior heat and mass transfer properties combined with low pressure drops. In the past two decades, different types of substrates have been proposed, including honeycomb monoliths, open-cell foams and, more recently, periodic open cellular structures produced by additive manufacturing methods. Among others, thermally conductive metallic cellular substrates have been extensively tested in heat-transfer limited exo- or endo-thermic processes in tubular reactors, demonstrating significant potential for process intensification. The catalytic activation of these geometries is critical: on one hand, these structures can be washcoated with a thin layer of catalytic active phase, but the resulting catalyst inventory is limited. More recently, an alternative approach has been proposed, which relies on packing the cavities of the metallic matrix with catalyst pellets. In this paper, an up-to-date overview of the aforementioned topics will be provided. After a brief introduction concerning the concept of structured catalysts based on highly conductive supports, specific attention will be devoted to the most recent advances in their manufacturing and in their catalytic activation. Finally, the application to the methane steam reforming process will be presented as a relevant case study of process intensification. The results from a comparison of three different reactor layouts (i.e. conventional packed bed, washcoated copper foams and packed copper foams) will highlight the benefits for the overall reformer performance resulting from the adoption of highly conductive structured internals.

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“…The structures of the extracted network vary using different methods [22] and result in the different customization of the parameter towards fitting to the transport properties. The material we discussed is a kind of fibrous porous material composed of curved copper fibers of a mean diameter of 100 µm, and these fibers are compressed in the mold and sintered to form a connected fibrous porous structure with a mean pore diameter of about 300 µm [11]; therefore, the diffusion phenomena occur at the meso, and macroscale and are driven by the concentration gradient (molecular diffusion) rather than the collision of gas molecules with pore walls (Knudsen diffusion). In our former works, we applied the watershed segmentation method to obtain the network structure from the 3D images of porous fibrous materials and effectively predicted transport properties (invasion percolation and diffusion) by characterizing the throat radius using the area-equivalent radius [15,16].…”

Section: Network Extractionmentioning

confidence: 99%

“…These works further inspire the idea of the combination of microchannels and pore structures (Figure 1). Fabricating microchannels on porous structures was proposed [11][12][13] and applied in a methanol steam reforming (MSR) as catalyst support layers, and enhanced hydrogen production was obtained comparing the ones without microchannels. However, on the one hand, experimental measurements for obtaining physical properties could be hard to conduct due to a small pore size.…”

Section: Introductionmentioning

confidence: 99%

The Impacts of Surface Microchannels on the Transport Properties of Porous Fibrous Media Using Stochastic Pore Network Modeling

et al. 2021

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A stochastic pore network modeling method with tailored structures is proposed to investigate the impacts of surface microchannels on the transport properties of porous fibrous media. Firstly, we simplify the original pore network extracted from the 3D images. Secondly, a repeat sampling strategy is applied during the stochastic modeling of the porous structure at the macroscale while honoring the structural property of the original network. Thirdly, the microchannel is added as a spherical chain and replaces the overlapped elements of the original network. Finally, we verify our model via a comparison of the structure and flow properties. The results show that the microchannel increases the permeability of flow both in the directions parallel and vertical to the microchannel direction. The microchannel plays as the highway for the pass of reactants while the rest of the smaller pore size provides higher resistance for better catalyst support, and the propagation path in the network with microchannels is more even and predictable. This work indicates that our modeling framework is a promising methodology for the design optimization of cross-scale porous structures.

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Novel copper foam with ordered hole arrays as catalyst support for methanol steam reforming microreactor

Cited by 74 publications

References 68 publications

Microreactor technology for synthesis of ethyl methyl oxalate from diethyl oxalate with methanol and its kinectics

Microreactor technology for synthesis of ethyl methyl oxalate from diethyl oxalate with methanol and its kinectics

Recent Advances in the Development of Highly Conductive Structured Supports for the Intensification of Non-adiabatic Gas-Solid Catalytic Processes: The Methane Steam Reforming Case Study

The Impacts of Surface Microchannels on the Transport Properties of Porous Fibrous Media Using Stochastic Pore Network Modeling

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