TY - JOUR
T1 - Meta-analysis of CO2 conversion, energy efficiency, and other performance data of plasma-catalysis reactors with the open access PIONEER database
AU - Salden, T.P.W.
AU - Budde, Maik
AU - Garcia-Soto, Carolina A.
AU - Biondo, Omar
AU - Barauna, Jairo
AU - Faedda, Marzia
AU - Musig, Beatrice
AU - Fromentin, Chloé
AU - Nguyen-Quang, Minh
AU - Philpott, Harry
AU - Hasrack, Golshid
AU - Aceto, Domenico
AU - Cai, Yuxiang
AU - Azolina Jury, Federico
AU - Bogaerts, Annemie
AU - Da Costa, Patrick
AU - Engeln, Richard A.H.
AU - Gálvez, Maria Elena
AU - Gans, Timo
AU - Garcia, Tomas
AU - Diniz Leitao Guerra, Vasco
AU - Henriques, Carlos
AU - Motak, Monika
AU - Navarro, Maria Victoria
AU - Parvulescu, Vasile I.
AU - van Rooij, Gerard J.
AU - Samojeden, Bogdan
AU - Sobota, Ana
AU - Tosi, M.P. (Paolo)
AU - Tu, Xin
AU - Guaitella, Olivier Y.N.
PY - 2023/11
Y1 - 2023/11
N2 - 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 database. 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 database user interface is motivated by the fact that plasma-catalysis is a fast-growing field for all CO2 conversion 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 however, the accumulated data within the CO2 plasma-catalysis community has become large enough to warrant 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.
AB - 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 database. 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 database user interface is motivated by the fact that plasma-catalysis is a fast-growing field for all CO2 conversion 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 however, the accumulated data within the CO2 plasma-catalysis community has become large enough to warrant 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.
KW - Carbon capture and utilisation (CCU)
KW - CO conversion
KW - Dielectric barrier discharge
KW - Dry reforming of methane
KW - Energy efficiency
KW - Methanation
KW - Open-access database on plasma-catalysis experiment
KW - Packed bed reactor
KW - Plasma-catalysis
KW - Specific energy input
UR - http://www.scopus.com/inward/record.url?scp=85171645089&partnerID=8YFLogxK
U2 - 10.1016/j.jechem.2023.07.022
DO - 10.1016/j.jechem.2023.07.022
M3 - Article
SN - 2095-4956
VL - 86
SP - 318
EP - 342
JO - Journal of Energy Chemistry
JF - Journal of Energy Chemistry
ER -