A 3D model of a reverse vortex flow gliding arc reactor

Trenchev, Georgi; Kolev, St; Bogaerts, Annemie

doi:10.1088/0963-0252/25/3/035014

Cited by 49 publications

(118 citation statements)

References 25 publications

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“…We are currently investigating the gas flow dynamics by 2D and 3D fluid dynamics modeling [80,81] and will elaborate on these resultsint he future by particle tracings imulations. However,t he conversion needs to be further improved.…”

Section: Discussionmentioning

confidence: 99%

“…In principle, the gas temperature can be calculated in the model( Supporting Information), but in this study we assume certain values based on 3D fluid dynamics simulations [80,81] and reported data. [82] Indeed, to obtain realistic calculations with this 0D model, we would need more accurated ata on the energy released by some chemical reactions and on the effect of vibration-translation relaxation of the CO 2 vibrational levels upon collision with CH 4 ;t hesed ata were not availablei nt he literature.…”

Section: Calculated Plasmac Haracteristicsmentioning

confidence: 99%

“…However,i nt his work, we applied ac ertain temperature profile as input in the model starting from room temperature at the inlet of the arc column up to 3500 K. This was based on reported 3D fluid dynamics simulations [80,81] and experimental values. de represents the energy needed or released by the reaction.…”

Section: Description Of the Chemical Kinetics Modelmentioning

confidence: 99%

“…As chematic diagram of the GAP including the dimensions is presented in Figure 9. [80,81] Because the plasma confined in the inner vortex gas flow was more or less uniform, [80,81] we assumed ac onstant power density applied to the gas during its residence time in the plasma column. Because the gas entered the GAP reactor through tangential inlets, it followed av ortex flow pattern.…”

Section: Application Of the 0d Modeltot He Gapmentioning

confidence: 99%

See 3 more Smart Citations

Dry Reforming of Methane in a Gliding Arc Plasmatron: Towards a Better Understanding of the Plasma Chemistry

et al. 2017

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Dry reforming of methane (DRM) in a gliding arc plasmatron is studied for different CH fractions in the mixture. The CO and CH conversions reach their highest values of approximately 18 and 10 %, respectively, at 25 % CH in the gas mixture, corresponding to an overall energy cost of 10 kJ L (or 2.5 eV per molecule) and an energy efficiency of 66 %. CO and H are the major products, with the formation of smaller fractions of C H (x=2, 4, or 6) compounds and H O. A chemical kinetics model is used to investigate the underlying chemical processes. The calculated CO and CH conversion and the energy efficiency are in good agreement with the experimental data. The model calculations reveal that the reaction of CO (mainly at vibrationally excited levels) with H radicals is mainly responsible for the CO conversion, especially at higher CH fractions in the mixture, which explains why the CO conversion increases with increasing CH fraction. The main process responsible for CH conversion is the reaction with OH radicals. The excellent energy efficiency can be explained by the non-equilibrium character of the plasma, in which the electrons mainly activate the gas molecules, and by the important role of the vibrational kinetics of CO . The results demonstrate that a gliding arc plasmatron is very promising for DRM.

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Section: Discussionmentioning

confidence: 99%

Section: Calculated Plasmac Haracteristicsmentioning

confidence: 99%

Section: Description Of the Chemical Kinetics Modelmentioning

confidence: 99%

Section: Application Of the 0d Modeltot He Gapmentioning

confidence: 99%

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Dry Reforming of Methane in a Gliding Arc Plasmatron: Towards a Better Understanding of the Plasma Chemistry

et al. 2017

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“…A considerable number of experiments have been conducted to study the slip velocity and column length, the dynamic behavior, and the electrical characterization . Apart from the experimental studies, several theoretical studies have also been performed . They are motivated by the need of a more profound understanding of the discharge operation, which is very difficult to be achieved with experimental methods, due to the complexity of the discharge – non‐stationary behavior, complex plasma, etc.…”

Section: Introductionmentioning

confidence: 99%

Quasi‐Neutral Modeling of Gliding Arc Plasmas

Kolev

Sun

Trenchev

et al. 2016

Plasma Processes & Polymers

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The modelling of a gliding arc discharge (GAD) is studied by means of the quasineutral (QN) plasma modelling approach. The model is first evaluated for reliability and proper description of a gliding arc discharge at atmospheric pressure, by comparing with a more elaborate non‐quasineutral (NQN) plasma model in two different geometries – a 2D axisymmetric and a Cartesian geometry. The NQN model is considered as a reference, since it provides a continuous self‐consistent plasma description, including the near electrode regions. In general, the results of the QN model agree very well with those obtained from the NQN model. The small differences between both models are attributed to the approximations in the derivation of the QN model. The use of the QN model provides a substantial reduction of the computation time compared to the NQN model, which is crucial for the development of more complex models in three dimensions or with complicated chemistries. The latter is illustrated for (i) a reverse vortex flow (RVF) GAD in argon, and (ii) a GAD in CO2. The RVF discharge is modelled in three dimensions and the effect of the turbulent heat transport on the plasma and gas characteristics is discussed. The GAD model in CO2 is in a 1D geometry with axial symmetry and provides results for the time evolution of the electron, gas and vibrational temperature of CO2, as well as for the molar fractions of the different species.

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Systematic Simulation Strategy of Plasma Methane Pyrolysis for CO₂‐Free H₂

Magazova

Böddeker

Bibinov

et al. 2022

Chemie Ingenieur Technik

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Recently, the direct conversion of methane into hydrogen using cold plasma reactors has attracted increasing attention, since hydrogen has considerable potential as a future feedstock in the steel and chemical industries. However, the simulation of plasma pyrolysis reactors is extremely complex due to the vast temporal and spatial ranges of the variables involved and steep gradients. Previously, methane pyrolysis has been meticulously modeled by 0D simulations, and 3D plasma modeling has been largely confined to Argon systems. In this paper, a systematic methodology is presented, which provides an expedient and efficient hierarchy of 0D to 3D simulations, in order to approximate the methane pyrolysis simulation of a plasma reactor in its entirety. Various simulation tools are applied in a coordinated and pragmatic manner. The results show that the proposed synergy allows simplification of the reaction set and arc characteristics, significantly reducing the runtime required for the simulations.

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A 3D model of a reverse vortex flow gliding arc reactor

Cited by 49 publications

References 25 publications

Dry Reforming of Methane in a Gliding Arc Plasmatron: Towards a Better Understanding of the Plasma Chemistry

Dry Reforming of Methane in a Gliding Arc Plasmatron: Towards a Better Understanding of the Plasma Chemistry

Quasi‐Neutral Modeling of Gliding Arc Plasmas

Systematic Simulation Strategy of Plasma Methane Pyrolysis for CO₂‐Free H₂

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A 3D model of a reverse vortex flow gliding arc reactor

Cited by 49 publications

References 25 publications

Dry Reforming of Methane in a Gliding Arc Plasmatron: Towards a Better Understanding of the Plasma Chemistry

Dry Reforming of Methane in a Gliding Arc Plasmatron: Towards a Better Understanding of the Plasma Chemistry

Quasi‐Neutral Modeling of Gliding Arc Plasmas

Systematic Simulation Strategy of Plasma Methane Pyrolysis for CO2‐Free H2

Contact Info

Product

Resources

About

Systematic Simulation Strategy of Plasma Methane Pyrolysis for CO₂‐Free H₂