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Author |
Cai, Y.; Mei, D.; Chen, Y.; Bogaerts, A.; Tu, X. |
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Title |
Machine learning-driven optimization of plasma-catalytic dry reforming of methane |
Type |
A1 Journal Article |
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Year |
2024 |
Publication |
Journal of Energy Chemistry |
Abbreviated Journal |
Journal of Energy Chemistry |
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Volume |
96 |
Issue |
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Pages |
153-163 |
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Keywords |
A1 Journal Article; Plasma catalysis Machine learning Process optimization Dry reforming of methane Syngas production; Plasma, laser ablation and surface modeling Antwerp (PLASMANT) ; |
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Abstract |
This study investigates the dry reformation of methane (DRM) over Ni/Al2O3 catalysts in a dielectric barrier discharge (DBD) non-thermal plasma reactor. A novel hybrid machine learning (ML) model is developed to optimize the plasma-catalytic DRM reaction with limited experimental data. To address the non-linear and complex nature of the plasma-catalytic DRM process, the hybrid ML model integrates three well-established algorithms: regression trees, support vector regression, and artificial neural networks. A genetic algorithm (GA) is then used to optimize the hyperparameters of each algorithm within the hybrid ML model. The ML model achieved excellent agreement with the experimental data, demonstrating its efficacy in accurately predicting and optimizing the DRM process. The model was subsequently used to investigate the impact of various operating parameters on the plasma-catalytic DRM performance. We found that the optimal discharge power (20 W), CO2/CH4 molar ratio (1.5), and Ni loading (7.8 wt%) resulted in the maximum energy yield at a total flow rate of 51 mL/min. Furthermore, we investigated the relative significance of each operating parameter on the performance of the plasmacatalytic DRM process. The results show that the total flow rate had the greatest influence on the conversion, with a significance exceeding 35% for each output, while the Ni loading had the least impact on the overall reaction performance. This hybrid model demonstrates a remarkable ability to extract valuable insights from limited datasets, enabling the development and optimization of more efficient and selective plasma-catalytic chemical processes. |
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Publication Date |
2024-04-25 |
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Edition |
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ISSN |
2095-4956 |
ISBN |
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Additional Links |
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Impact Factor |
13.1 |
Times cited |
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Open Access |
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Notes |
This project received funding from the European Union’s Hori- zon 2020 research and innovation program under the Marie Sklodowska-Curie grant agreement No. 813393. |
Approved |
Most recent IF: 13.1; 2024 IF: 2.594 |
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Call Number |
PLASMANT @ plasmant @ |
Serial |
9124 |
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Author |
Albrechts, M.; Tsonev, I.; Bogaerts, A. |
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Title |
Investigation of O atom kinetics in O2plasma and its afterglow |
Type |
A1 Journal Article |
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Year |
2024 |
Publication |
Plasma Sources Science and Technology |
Abbreviated Journal |
Plasma Sources Sci. Technol. |
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Volume |
33 |
Issue |
4 |
Pages |
045017 |
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Keywords |
A1 Journal Article; oxygen plasma, pseudo-1D plug-flow kinetic model, O atoms, low-pressure validation, atmospheric pressure microwave torch; Plasma, laser ablation and surface modeling Antwerp (PLASMANT) ; |
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Abstract |
We have developed a comprehensive kinetic model to study the O atom kinetics in an O<sub>2</sub>plasma and its afterglow. By adopting a pseudo-1D plug-flow formalism within the kinetic model, our aim is to assess how far the O atoms travel in the plasma afterglow, evaluating its potential as a source of O atoms for post-plasma gas conversion applications. Since we could not find experimental data for pure O<sub>2</sub>plasma at atmospheric pressure, we first validated our model at low pressure (1–10 Torr) where very good experimental data are available. Good agreement between our model and experiments was achieved for the reduced electric field, gas temperature and the densities of the dominant neutral species, i.e. O<sub>2</sub>(a), O<sub>2</sub>(b) and O. Subsequently, we confirmed that the chemistry set is consistent with thermodynamic equilibrium calculations at atmospheric pressure. Finally, we investigated the O atom densities in the O<sub>2</sub>plasma and its afterglow, for which we considered a microwave O<sub>2</sub>plasma torch, operating at a pressure between 0.1 and 1 atm, for a flow rate of 20 slm and an specific energy input of 1656 kJ mol<sup>−1</sup>. Our results show that for both pressure conditions, a high dissociation degree of ca. 92% is reached within the discharge. However, the O atoms travel much further in the plasma afterglow for<italic>p</italic>= 0.1 atm (9.7 cm) than for<italic>p</italic>= 1 atm (1.4 cm), attributed to the longer lifetime (3.8 ms at 0.1 atm vs 1.8 ms at 1 atm) resulting from slower three-body recombination kinetics, as well as a higher volumetric flow rate. |
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Wos |
001209453500001 |
Publication Date |
2024-04-01 |
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ISSN |
0963-0252 |
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Additional Links |
UA library record; WoS full record |
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Impact Factor |
3.8 |
Times cited |
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Open Access |
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Notes |
This research was supported by the Horizon Europe Framework Program ‘Research and Innovation Actions’ (RIA), Project CANMILK (Grant No. 101069491). |
Approved |
Most recent IF: 3.8; 2024 IF: 3.302 |
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Call Number |
PLASMANT @ plasmant @c:irua:205920 |
Serial |
9125 |
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Author |
Xu, W.; Van Alphen, S.; Galvita, V.V.; Meynen, V.; Bogaerts, A. |
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Title |
Effect of Gas Composition on Temperature and CO2Conversion in a Gliding Arc Plasmatron reactor: Insights for Post‐Plasma Catalysis from Experiments and Computation |
Type |
A1 Journal Article |
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Year |
2024 |
Publication |
ChemSusChem |
Abbreviated Journal |
ChemSusChem |
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Pages |
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Keywords |
A1 Journal Article; CO2 conversion · Plasma · Gliding arc plasmatron · Temperature profiles · Computational modelling; Plasma, laser ablation and surface modeling Antwerp (PLASMANT) ; |
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Abstract |
Plasma‐based CO<sub>2</sub>conversion has attracted increasing interest. However, to understand the impact of plasma operation on post‐plasma processes, we studied the effect of adding N<sub>2</sub>, N<sub>2</sub>/CH<sub>4</sub>and N<sub>2</sub>/CH<sub>4</sub>/H<sub>2</sub>O to a CO<sub>2</sub>gliding arc plasmatron (GAP) to obtain valuable insights into their impact on exhaust stream composition and temperature, which will serve as feed gas and heat for post‐plasma catalysis (PPC). Adding N<sub>2</sub>improves the CO<sub>2</sub>conversion from 4 % to 13 %, and CH<sub>4</sub>addition further promotes it to 44 %, and even to 61 % at lower gas flow rate (6 L/min), allowing a higher yield of CO and hydrogen for PPC. The addition of H<sub>2</sub>O, however, reduces the CO<sub>2</sub>conversion from 55 % to 22 %, but it also lowers the energy cost, from 5.8 to 3 kJ/L. Regarding the temperature at 4.9 cm post‐plasma, N<sub>2</sub>addition increases the temperature, while the CO<sub>2</sub>/CH<sub>4</sub>ratio has no significant effect on temperature. We also calculated the temperature distribution with computational fluid dynamics simulations. The obtained temperature profiles (both experimental and calculated) show a decreasing trend with distance to the exhaust and provide insights in where to position a PPC bed. |
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001200297300001 |
Publication Date |
2024-04-11 |
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Series Issue |
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ISSN |
1864-5631 |
ISBN |
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Additional Links |
UA library record; WoS full record; WoS citing articles |
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Impact Factor |
8.4 |
Times cited |
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Open Access |
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Notes |
We acknowledge the VLAIO Catalisti Moonshot project D2M and the VLAIO Catalisti transition project CO2PERATE (HBC.2017.0692) for financial support. We acknowledge Gilles Van Loon for his help to make the quartz and steel devices for the reactor. Vladimir V. Galvita also acknowledges a personal grant from the Research Fund of Ghent University (BOF; 01N16319). |
Approved |
Most recent IF: 8.4; 2024 IF: 7.226 |
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Call Number |
PLASMANT @ plasmant @c:irua:205101 |
Serial |
9128 |
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Author |
Xu, W.; Buelens, L.C.; Galvita, V.V.; Bogaerts, A.; Meynen, V. |
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Title |
Improving the performance of gliding arc plasma-catalytic dry reforming via a new post-plasma tubular catalyst bed |
Type |
A1 Journal Article |
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Year |
2024 |
Publication |
Journal of CO2 Utilization |
Abbreviated Journal |
Journal of CO2 Utilization |
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Volume |
83 |
Issue |
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Pages |
102820 |
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Keywords |
A1 Journal Article; Dry reforming Gliding arc plasma Plasma catalytic DRM Ni-based mixed oxide Post-plasma catalysis; Plasma, laser ablation and surface modeling Antwerp (PLASMANT) ; |
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Abstract |
A combination of a gliding arc plasmatron (GAP) reactor and a newly designed tubular catalyst bed (N-bed) was applied to investigate the post-plasma catalytic (PPC) effect for dry reforming of methane (DRM). As comparison, a traditional plasma catalyst bed (T-bed) was also utilized. The post-plasma catalytic effect of a Ni-based mixed oxide (Ni/MO) catalyst with a thermal catalytic performance of 77% CO2 and 86% CH4 conversion at 700 ℃ was studied. Although applying the T-bed had little effect on plasma based CO2 and CH4 conversion, an increase in selectivity to H2 was obtained with a maximum value of 89% at a distance of 2 cm. However, even when only α-Al2O3 packing material was used in the N-bed configuration, compared to the plasma alone and the T-bed, an increase of the CO2 and CH4 conversion from 53% and 53% to 69% and 69% to 83% was achieved. Addition of the Ni/MO catalyst further enhanced the DRM reaction, resulting in conversions of 79% for CO2 and 91% for
CH4. Hence, although no insulation nor external heating was applied to the N-bed post plasma, it provides a slightly better conversion than the thermal catalytic performance with the same catalyst, while being fully electrically driven. In addition, an enhanced CO selectivity to 96% was obtained and the energy cost was reduced from ~ 6 kJ/L (plasma alone) to 4.3 kJ/L. To our knowledge, it is the first time that a post-plasma catalytic system achieves this excellent catalytic performance for DRM without extra external heating or insulation. |
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Publication Date |
2024-05-25 |
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ISSN |
2212-9820 |
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Impact Factor |
7.7 |
Times cited |
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Open Access |
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Notes |
Wencong Xu, Vladimir V. Galvita, Annemie Bogaerts, and Vera Meynen would like to acknowledge the VLAIO Catalisti Moonshot project D2M and the VLAIO Catalisti transition project CO2PERATE (HBC.2017.0692). Lukas C. Buelens acknowledges financial support from the Fund for Scientific Research Flanders (FWO Flanders) through a postdoctoral fellowship grant 12E5623N. Vladimir V. Galvita also acknowledges a personal grant from the Research Fund of Ghent University (BOF; 01N16319). |
Approved |
Most recent IF: 7.7; 2024 IF: 4.292 |
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Call Number |
PLASMANT @ plasmant @ |
Serial |
9131 |
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Author |
Maerivoet, S.; Tsonev, I.; Slaets, J.; Reniers, F.; Bogaerts, A. |
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Title |
Coupled multi-dimensional modelling of warm plasmas: Application and validation for an atmospheric pressure glow discharge in CO2/CH4/O2 |
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A1 Journal Article |
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Year |
2024 |
Publication |
Chemical Engineering Journal |
Abbreviated Journal |
Chemical Engineering Journal |
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Volume |
492 |
Issue |
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Pages |
152006 |
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Keywords |
A1 Journal Article; Plasma, laser ablation and surface modeling Antwerp (PLASMANT) ; |
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To support experimental research into gas conversion by warm plasmas, models should be developed to explain the experimental observations. These models need to describe all physical and chemical plasma properties in a coupled way. In this paper, we present a modelling approach to solve the complete set of assumed relevant equations, including gas flow, heat balance and species transport, coupled with a rather extensive chemistry set, consisting of 21 species, obtained by reduction of a more detailed chemistry set, consisting of 41 species. We apply this model to study the combined CO2 and CH4 conversion in the presence of O2, in a direct current atmospheric pressure glow discharge. Our model can predict the experimental trends, and can explain why higher O2 fractions result in higher CH4 conversion, namely due to the higher gas temperature, rather than just by additional chemical reactions. Indeed, our model predicts that when more O2 is added, the energy required to reach any set temperature (i.e., the enthalpy) drops, allowing the system to reach higher temperatures with similar amounts of energy. This is in turn related to the higher H2O fraction and lower H2 fraction formed in the plasma, as demonstrated by our model. Altogether, our new self-consistent model can capture the main physics and chemistry occurring in this warm plasma, which is an important step towards predictive modelling for plasma-based gas conversion. |
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Publication Date |
2024-05-09 |
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ISSN |
1385-8947 |
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Impact Factor |
15.1 |
Times cited |
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Open Access |
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Notes |
This research was supported by the Excellence of Science FWO-FNRS project (FWO grant ID G0I1822N; EOS ID 40007511) and the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No. 810182–SCOPE ERC Synergy project, and grant agreement No. 101081162–PREPARE ERC Proof of Concept project). computational resources and services used in this work were provided by the HPC core facility CalcUA of the Universiteit Antwerpen, and VSC (Flemish Supercomputer Center), funded by the Research Foundation – Flanders (FWO) and the Flemish Government. |
Approved |
Most recent IF: 15.1; 2024 IF: 6.216 |
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Call Number |
PLASMANT @ plasmant @ |
Serial |
9132 |
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Author |
Bogaerts, A.; Snoeckx, R.; Trenchev, G.; Wang, W. |
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Title |
Modeling for a Better Understanding of Plasma-Based CO2 Conversion |
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H1 Book Chapter |
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Year |
2018 |
Publication |
Plasma Chemistry and Gas Conversion |
Abbreviated Journal |
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H1 Book Chapter; Plasma, laser ablation and surface modeling Antwerp (PLASMANT) ; |
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Abstract |
This chapter discusses modeling efforts for plasma-based CO2 conversion, which are needed to obtain better insight in the underlying mechanisms, in order to improve this application. We will discuss two types of (complementary) modeling efforts that are most relevant, that is, (i) modeling of the detailed plasma chemistry by zero-dimensional (0D) chemical kinetic models and (ii) modeling of reactor design, by 2D or 3D fluid dynamics models. By showing some characteristic calculation results of both models, for CO2 splitting and in combination with a H-source, and for packed bed DBD and gliding arc plasma, we can illustrate the type of information they can provide. |
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IntechOpen |
Place of Publication |
Rijeka |
Editor |
Britun, N.; Silva, T. |
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Publication Date |
2018-12-19 |
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Additional Links |
UA library record |
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Open Access |
Not_Open_Access |
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Approved |
Most recent IF: NA |
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Call Number |
PLASMANT @ plasmant @ Bogaerts18c:irua:155915 |
Serial |
5142 |
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