|
Records |
Links |
|
Author |
Loenders, B.; Michiels, R.; Bogaerts, A. |
![goto web page url](http://nano.uantwerpen.be/nanorefs/img/www.gif)
![find record details (via OpenURL) openurl](img/xref.gif)
|
|
Title |
Is a catalyst always beneficial in plasma catalysis? Insights from the many physical and chemical interactions |
Type ![sorted by Type field, descending order (down)](img/sort_desc.gif) |
A1 Journal Article |
|
Year |
2023 |
Publication |
Journal of Energy Chemistry |
Abbreviated Journal |
Journal of Energy Chemistry |
|
|
Volume |
85 |
Issue |
|
Pages |
501-533 |
|
|
Keywords |
A1 Journal Article; Plasma, laser ablation and surface modeling Antwerp (PLASMANT) ; |
|
|
Abstract |
Plasma-catalytic dry reforming of CH4 (DRM) is promising to convert the greenhouse gasses CH4 and CO2 into value-added chemicals, thus simultaneously providing an alternative to fossil resources as feedstock for the chemical industry. However, while many experiments have been dedicated to plasma-catalytic DRM, there is no consensus yet in literature on the optimal choice of catalyst for targeted products, because the underlying mechanisms are far from understood. Indeed, plasma catalysis is very complex, as it encompasses various chemical and physical interactions between plasma and catalyst, which depend on many parameters. This complexity hampers the comparison of experimental results from different studies, which, in our opinion, is an important bottleneck in the further development of this promising research field. Hence, in this perspective paper, we describe the important physical and chemical effects that should be accounted for when designing plasma-catalytic experiments in general, highlighting the need for standardized experimental setups, as well as careful documentation of packing properties and reaction conditions, to further advance this research field. On the other hand, many parameters also create many windows of opportunity for further optimizing plasma-catalytic systems. Finally, various experiments also reveal the lack of improvement in plasma catalysis compared to plasma-only, specifically for DRM, but the underlying mechanisms are unclear. Therefore, we present our newly developed coupled plasma-surface kinetics model for DRM, to provide more insight in the underlying reasons. Our model illustrates that transition metal catalysts can adversely affect plasmacatalytic DRM, if radicals dominate the plasma-catalyst interactions. Thus, we demonstrate that a good understanding of the plasma-catalyst interactions is crucial to avoiding conditions at which these interactions negatively affect the results, and we provide some recommendations for improvement. For instance, we believe that plasma-catalytic DRM may benefit more from higher reaction temperatures, at which vibrational excitation can enhance the surface reactions. |
|
|
Address |
|
|
|
Corporate Author |
|
Thesis |
|
|
|
Publisher |
|
Place of Publication |
|
Editor |
|
|
|
Language |
|
Wos |
|
Publication Date |
2023-06-30 |
|
|
Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
|
|
Series Volume |
|
Series Issue |
|
Edition |
|
|
|
ISSN |
2095-4956 |
ISBN |
|
Additional Links |
UA library record |
|
|
Impact Factor |
13.1 |
Times cited |
|
Open Access |
Not_Open_Access |
|
|
Notes |
This research was supported by the FWO-SBO project PlasMa- CatDESIGN (FWO grant ID S001619N), the FWO fellowship of R. Michiels (FWO grant ID 1114921N), 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). The 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: 13.1; 2023 IF: 2.594 |
|
|
Call Number |
PLASMANT @ plasmant @c:irua:198159 |
Serial |
8806 |
|
Permanent link to this record |
|
|
|
|
Author |
Wanten, B.; Vertongen, R.; De Meyer, R.; Bogaerts, A. |
![goto web page url](http://nano.uantwerpen.be/nanorefs/img/www.gif)
![find record details (via OpenURL) openurl](img/xref.gif)
|
|
Title |
Plasma-based CO2 conversion: How to correctly analyze the performance? |
Type ![sorted by Type field, descending order (down)](img/sort_desc.gif) |
A1 journal article |
|
Year |
2023 |
Publication |
Journal of Energy Chemistry |
Abbreviated Journal |
Journal of Energy Chemistry |
|
|
Volume |
86 |
Issue |
|
Pages |
180-196 |
|
|
Keywords |
A1 journal article; Plasma, laser ablation and surface modeling Antwerp (PLASMANT) ; |
|
|
Abstract |
|
|
|
Address |
|
|
|
Corporate Author |
|
Thesis |
|
|
|
Publisher |
|
Place of Publication |
|
Editor |
|
|
|
Language |
|
Wos |
001070885000001 |
Publication Date |
2023-07-22 |
|
|
Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
|
|
Series Volume |
|
Series Issue |
|
Edition |
|
|
|
ISSN |
2095-4956 |
ISBN |
|
Additional Links |
UA library record; WoS full record; WoS citing articles |
|
|
Impact Factor |
13.1 |
Times cited |
|
Open Access |
Not_Open_Access |
|
|
Notes |
We acknowledge financial support from the Fund for Scientific Research (FWO) Flanders (Grant ID 110221N), the European Research Council (ERC) under the European Union’s Horizon 2020 Research and Innovation Program (grant agreement No 810182 – SCOPE ERC Synergy project), and the Methusalem funding of the University of Antwerp. We acknowledge the icons from the graphical abstract made by dDara, geotatah, Spashicons and Freepik on www.flaticon.com. We also thank Stein Maerivoet, Joachim Slaets, Elizabeth Mercer, Colín Ó’Modráin, Joran Van Turnhout, Pepijn Heirman, dr. Yury Gorbanev, dr. Fanny Girard-Sahun and dr. Sean Kelly for the interesting discussions and feedback. |
Approved |
Most recent IF: 13.1; 2023 IF: 2.594 |
|
|
Call Number |
PLASMANT @ plasmant @c:irua:198709 |
Serial |
8816 |
|
Permanent link to this record |
|
|
|
|
Author |
Salden, A.; Budde, M.; Garcia-Soto, C.A.; Biondo, O.; Barauna, J.; Faedda, M.; Musig, B.; Fromentin, C.; Nguyen-Quang, M.; Philpott, H.; Hasrack, G.; Aceto, D.; Cai, Y.; Jury, F.A.; Bogaerts, A.; Da Costa, P.; Engeln, R.; Galvez, M.E.; Gans, T.; Garcia, T.; Guerra, V.; Henriques, C.; Motak, M.; Navarro, M.V.; Parvulescu, V.I.; Van Rooij, G.; Samojeden, B.; Sobota, A.; Tosi, P.; Tu, X.; Guaitella, O. |
![goto web page (via DOI) doi](http://nano.uantwerpen.be/nanorefs/img/doi.gif)
|
|
Title |
Meta-analysis of CO₂ conversion, energy efficiency, and other performance data of plasma-catalysis reactors with the open access PIONEER database |
Type ![sorted by Type field, descending order (down)](img/sort_desc.gif) |
A1 Journal article |
|
Year |
2023 |
Publication |
Journal of energy chemistry |
Abbreviated Journal |
|
|
|
Volume |
86 |
Issue |
|
Pages |
318-342 |
|
|
Keywords |
A1 Journal article; Engineering sciences. Technology; Plasma Lab for Applications in Sustainability and Medicine – Antwerp (PLASMANT) |
|
|
Abstract |
This paper brings the comparison of performances of CO2 conversion by plasma and plasma-assisted catalysis based on the data collected from literature in this field, organised in an open access online data-base. This tool is open to all users to carry out their own analyses, but also to contributors who wish to add their data to the database in order to improve the relevance of the comparisons made, and ultimately to improve the efficiency of CO2 conversion by plasma-catalysis. The creation of this database and data-base user interface is motivated by the fact that plasma-catalysis is a fast-growing field for all CO2 con-version processes, be it methanation, dry reforming of methane, methanolisation, or others. As a result of this rapid increase, there is a need for a set of standard procedures to rigorously compare performances of different systems. However, this is currently not possible because the fundamental mechanisms of plasma-catalysis are still too poorly understood to define these standard procedures. Fortunately how-ever, the accumulated data within the CO2 plasma-catalysis community has become large enough to war-rant so-called “big data” studies more familiar in the fields of medicine and the social sciences. To enable comparisons between multiple data sets and make future research more effective, this work proposes the first database on CO2 conversion performances by plasma-catalysis open to the whole community. This database has been initiated in the framework of a H2020 European project and is called the “PIONEER DataBase”. The database gathers a large amount of CO2 conversion performance data such as conversion rate, energy efficiency, and selectivity for numerous plasma sources coupled with or without a catalyst. Each data set is associated with metadata describing the gas mixture, the plasma source, the nature of the catalyst, and the form of coupling with the plasma. Beyond the database itself, a data extraction tool with direct visualisation features or advanced filtering functionalities has been developed and is available online to the public. The simple and fast visualisation of the state of the art puts new results into context, identifies literal gaps in data, and consequently points towards promising research routes. More advanced data extraction illustrates the impact that the database can have in the understanding of plasma-catalyst coupling. Lessons learned from the review of a large amount of literature during the setup of the database lead to best practice advice to increase comparability between future CO2 plasma-catalytic studies. Finally, the community is strongly encouraged to contribute to the database not only to increase the visibility of their data but also the relevance of the comparisons allowed by this tool. (c) 2023 Science Press and Dalian Institute of Chemical Physics, Chinese Academy of Sciences. Published by ELSEVIER B.V. and Science Press. This is an open access article under the CC BY license (http://creati- vecommons.org/licenses/by/4.0/). |
|
|
Address |
|
|
|
Corporate Author |
|
Thesis |
|
|
|
Publisher |
|
Place of Publication |
|
Editor |
|
|
|
Language |
|
Wos |
001083545900001 |
Publication Date |
2023-08-10 |
|
|
Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
|
|
Series Volume |
|
Series Issue |
|
Edition |
|
|
|
ISSN |
2095-4956 |
ISBN |
|
Additional Links |
UA library record; WoS full record; WoS citing articles |
|
|
Impact Factor |
13.1 |
Times cited |
|
Open Access |
|
|
|
Notes |
|
Approved |
Most recent IF: 13.1; 2023 IF: 2.594 |
|
|
Call Number |
UA @ admin @ c:irua:200416 |
Serial |
9056 |
|
Permanent link to this record |
|
|
|
|
Author |
Cai, Y.; Mei, D.; Chen, Y.; Bogaerts, A.; Tu, X. |
![goto web page (via DOI) doi](http://nano.uantwerpen.be/nanorefs/img/doi.gif)
|
|
Title |
Machine learning-driven optimization of plasma-catalytic dry reforming of methane |
Type ![sorted by Type field, descending order (down)](img/sort_desc.gif) |
A1 Journal Article |
|
Year |
2024 |
Publication |
Journal of Energy Chemistry |
Abbreviated Journal |
Journal of Energy Chemistry |
|
|
Volume |
96 |
Issue |
|
Pages |
153-163 |
|
|
Keywords |
A1 Journal Article; Plasma catalysis Machine learning Process optimization Dry reforming of methane Syngas production; Plasma, laser ablation and surface modeling Antwerp (PLASMANT) ; |
|
|
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. |
|
|
Address |
|
|
|
Corporate Author |
|
Thesis |
|
|
|
Publisher |
|
Place of Publication |
|
Editor |
|
|
|
Language |
|
Wos |
|
Publication Date |
2024-04-25 |
|
|
Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
|
|
Series Volume |
|
Series Issue |
|
Edition |
|
|
|
ISSN |
2095-4956 |
ISBN |
|
Additional Links |
|
|
|
Impact Factor |
13.1 |
Times cited |
|
Open Access |
|
|
|
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 |
|
|
Call Number |
PLASMANT @ plasmant @ |
Serial |
9124 |
|
Permanent link to this record |