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Author Zhang, Y.; Wang, H.-yu; Zhang, Y.-ru; Bogaerts, A. pdf  url
doi  openurl
  Title Formation of microdischarges inside a mesoporous catalyst in dielectric barrier discharge plasmas Type A1 Journal article
  Year 2017 Publication Plasma sources science and technology Abbreviated Journal Plasma Sources Sci T  
  Volume 26 Issue 26 Pages 054002  
  Keywords A1 Journal article; Plasma Lab for Applications in Sustainability and Medicine – Antwerp (PLASMANT)  
  Abstract The formation process of a microdischarge (MD) in both μm- and nm-sized catalyst pores is simulated by a two-dimensional particle-in-cell/Monte Carlo collision model. A parallel-plate dielectric barrier discharge configuration in filamentary mode is considered in ambient air. The discharge is powered by a high voltage pulse. Our calculations reveal that a streamer can penetrate into the surface features of a porous catalyst and MDs can be formed inside both μm- and nm-sized pores, yielding ionization inside the pore. For the μm-sized pores, the ionization mainly occurs inside the pore, while for the nm-sized pores the ionization is strongest near and inside the pore. Thus, enhanced discharges near and inside the mesoporous catalyst are observed. Indeed, the maximum values of the electric field, ionization rate and electron density occur near and inside the pore. The maximum electric field and electron density inside the pore first increase when the pore size rises from 4 nm to 10 nm, and then they decrease for the 100 nm pore, due to

a more pronounced surface discharge for the smaller pores. However, the ionization rate is highest for the 100 nm pore due to the largest effective ionization region.
 
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Wos 000399277700001 Publication Date 2017-04-05  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1361-6595 ISBN Additional Links UA library record; WoS full record; WoS citing articles  
  Impact Factor 3.302 Times cited 15 Open Access OpenAccess  
  Notes (up) This work was supported by the NSFC (11405067, 11275007, 11375163). Y Zhang gratefully acknowledges the Belgian Federal Science Policy Office for financial support. The authors are very grateful to Wei Jiang for the useful discussions on the photo-ionization model and the particle-incell/ Monte-Carlo model. Approved Most recent IF: 3.302  
  Call Number PLASMANT @ plasmant @ c:irua:142806 Serial 4566  
Permanent link to this record
 

 
Author Sun, S.R.; Wang, H.X.; Mei, D.H.; Tu, X.; Bogaerts, A. pdf  url
doi  openurl
  Title CO2 conversion in a gliding arc plasma: Performance improvement based on chemical reaction modeling Type A1 Journal article
  Year 2017 Publication Journal of CO2 utilization Abbreviated Journal J Co2 Util  
  Volume 17 Issue 17 Pages 220-234  
  Keywords A1 Journal article; Plasma Lab for Applications in Sustainability and Medicine – Antwerp (PLASMANT)  
  Abstract CO2 conversion into value-added chemicals is gaining increasing interest in recent years, and a gliding arc plasma has great potential for this purpose, because of its high energy efficiency. In this study, a chemical reaction kinetics model is presented to study the CO2 splitting in a gliding arc discharge. The calculated

conversion and energy efficiency are in good agreement with experimental data in a range of different operating conditions. Therefore, this reaction kinetics model can be used to elucidate the dominant chemical reactions contributing to CO2 destruction and formation. Based on this reaction pathway analysis, the restricting factors for CO2 conversion are figured out, i.e., the reverse reactions and the small treated gas fraction. This allows us to propose some solutions in order to improve the CO2 conversion, such as decreasing the gas temperature, by using a high frequency discharge, or increasing the power

density, by using a micro-scale gliding arc reactor, or by removing the reverse reactions, which could be realized in practice by adding possible scavengers for O atoms, such as CH4. Finally, we compare our results with other types of plasmas in terms of conversion and energy efficiency, and the results illustrate that gliding arc discharges are indeed quite promising for CO2 conversion, certainly when keeping in mind the possible solutions for further performance improvement.
 
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Wos 000393928500023 Publication Date 2016-12-28  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2212-9820 ISBN Additional Links UA library record; WoS full record; WoS citing articles  
  Impact Factor 4.292 Times cited 41 Open Access Not_Open_Access  
  Notes (up) We acknowledge financial support from the IAP/7 (Inter- university Attraction Pole) program ‘PSI-Physical Chemistry of Plasma-Surface Interactions’ by the Belgian Federal Office for Science Policy (BELSPO) and the Fund for Scientific Research Flanders (FWO; Grant no. G.0383.16N). The calculations were carried out using the Turing HPC infrastructure at the CalcUA core facility of the Universiteit Antwerpen (UAntwerpen), a division of the Flemish Supercomputer Center VSC, funded by the Hercules Foundation, the Flemish Government (department EWI) and the UAntwerpen. This work is also supported by National Natural Science Foundation of China (grant nos. 11275021, 11575019). S R Sun thanks the financial support from the China Scholarship Council (CSC). Approved Most recent IF: 4.292  
  Call Number PLASMANT @ plasmant @ c:irua:138986 Serial 4332  
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Author Sun, S.R.; Wang, H.X.; Bogaerts, A. pdf  url
doi  openurl
  Title Chemistry reduction of complex CO2chemical kinetics: application to a gliding arc plasma Type A1 Journal article
  Year 2020 Publication Plasma Sources Science & Technology Abbreviated Journal Plasma Sources Sci T  
  Volume 29 Issue 2 Pages 025012  
  Keywords A1 Journal article; Plasma Lab for Applications in Sustainability and Medicine – Antwerp (PLASMANT)  
  Abstract A gliding arc (GA) plasma has great potential for CO2 conversion into value-added chemicals, because of its high energy efficiency. To improve the application, a 2D/3D fluid model is needed to investigate the CO2 conversion mechanisms in the actual discharge geometry. Therefore, the complex CO2 chemical kinetics description must be reduced due to the huge computational cost associated with 2D/3D models. This paper presents a chemistry reduction method for CO2 plasmas, based on the so-called directed relation graph method. Depending on the defined threshold values, some marginal species are identified. By means of a sensitivity analysis, we can further reduce the chemistry set by removing one by one the marginal species. Based on the socalled flux-sensitivity coupling, we obtain a reduced CO2 kinetics model, consisting of 36 or 15 species (depending on whether the 21 asymmetric mode vibrational states of CO2 are explicitly included or lumped into one group), which is applied to a GA discharge. The results are compared with those predicted with the full chemistry set, and very good agreement is reached. Moreover, the range of validity of the reduced CO2 chemistry set is checked, telling us that this reduced set is suitable for low power GA discharges. Finally, the time and spatial evolution of the CO2 plasma characteristics are presented, based on a 2D model with the reduced kinetics.  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Wos 000525600600001 Publication Date 2020-02-11  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1361-6595 ISBN Additional Links UA library record; WoS full record; WoS citing articles  
  Impact Factor 3.8 Times cited Open Access  
  Notes (up) We acknowledge financial support from the Fund for Scientific Research Flanders (FWO; Grant No. G.0383.16 N). The calculations were performed using the Turing HPC infrastructure at the CalcUA core facility of the Universiteit Antwerpen (UAntwerpen), a division of the Flemish Supercomputer Center VSC, funded by the Hercules Foundation, the Flemish Government (department EWI) and the UAntwerpen. This work was also supported by the National Natural Science Foundation of China. (Grant Nos. 11735004, 11575019). SR Sun thanks the financial support from the National Postdoctoral Program for Innovative Talents (BX20180029). Approved Most recent IF: 3.8; 2020 IF: 3.302  
  Call Number PLASMANT @ plasmant @c:irua:167135 Serial 6338  
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