Computational and Experimental Study of Time-Averaged Characteristics of Positive and Negative DC Corona Discharges in Point-Plane Gaps in Atmospheric Air

The use of stationary solvers instead of approximate solution methods or time-dependent solvers, which are standard tools in gas discharge modeling, allows one to develop a very fast and robust numerical model for studying the time-averaged characteristics of dc corona discharges. Such an approach i...

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Bibliographic Details
Published in:IEEE transactions on plasma science 2020-12, Vol.48 (12), p.4080-4088
Main Authors: Ferreira, Nuno G. C., Almeida, Pedro G. C., Benilov, Mikhail S., Panarin, Victor A., Skakun, Victor S., Tarasenko, Victor F., Naidis, George V.
Format: Article
Language:English
Subjects:
Approximation
Atmospheric models
Corona
Current voltage characteristics
dc discharges
Discharges (electric)
Gas discharges
Mathematical models
Numerical models
Radiation
Robustness (mathematics)
Solvers
Spatial distribution
Time dependence
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Summary:The use of stationary solvers instead of approximate solution methods or time-dependent solvers, which are standard tools in gas discharge modeling, allows one to develop a very fast and robust numerical model for studying the time-averaged characteristics of dc corona discharges. Such an approach is applied to dc corona discharges in point-plane gaps in ambient air. A wide range of currents of both voltage polarities and various gap lengths are investigated, and the simulation results are validated by comparing the computed current-voltage characteristics and spatial distributions of the radiation intensity with experimental results. Specific features of the numerical and experimental results at both polarities are discussed.
ISSN:0093-3813
1939-9375
DOI:10.1109/TPS.2020.3031076