Positive streamer discharge simulations in humid air: uncertainty in input data and sensitivity analysis

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Hauptverfasser: Guo, Baohong, Malla, Hemaditya, Malagon-Romero, Alejandro, Teunissen, Jannis
Format: Preprint
Veröffentlicht: 2024
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author Guo, Baohong
Malla, Hemaditya
Malagon-Romero, Alejandro
Teunissen, Jannis
author_facet Guo, Baohong
Malla, Hemaditya
Malagon-Romero, Alejandro
Teunissen, Jannis
contents We study how the choice of input data affects simulations of positive streamers in humid air, focusing on H2O cross sections, photoionization models, and chemistry sets. Simulations are performed in air with a mole fraction of 0%, 3% or 10% H2O using an axisymmetric fluid model. Five H2O cross section sets are considered, which lead to significant differences in the resulting electron attachment coefficient. As a result, the streamer velocity can vary by up to about 50% with 10% H2O. We compare results with three photoionization models: the Naidis model for humid air, the Aints model for humid air, and the standard Zheleznyak model for dry air. With the Naidis and in particular the Aints model, there is a significant reduction in photoionization with higher humidities. This results in higher streamer velocities and maximal electric fields, and it can also cause streamer branching in our axisymmetric simulations. Three humid air chemistry sets are considered. Differences between these sets, particularly in the formation of water clusters around positive ions, cause the streamer velocity to vary by up to about 50% with 10% H2O. A sensitivity analysis is performed to identify the most important chemical reactions in these chemistries.
format Preprint
id arxiv_https___arxiv_org_abs_2412_03861
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Positive streamer discharge simulations in humid air: uncertainty in input data and sensitivity analysis
Guo, Baohong
Malla, Hemaditya
Malagon-Romero, Alejandro
Teunissen, Jannis
Plasma Physics
We study how the choice of input data affects simulations of positive streamers in humid air, focusing on H2O cross sections, photoionization models, and chemistry sets. Simulations are performed in air with a mole fraction of 0%, 3% or 10% H2O using an axisymmetric fluid model. Five H2O cross section sets are considered, which lead to significant differences in the resulting electron attachment coefficient. As a result, the streamer velocity can vary by up to about 50% with 10% H2O. We compare results with three photoionization models: the Naidis model for humid air, the Aints model for humid air, and the standard Zheleznyak model for dry air. With the Naidis and in particular the Aints model, there is a significant reduction in photoionization with higher humidities. This results in higher streamer velocities and maximal electric fields, and it can also cause streamer branching in our axisymmetric simulations. Three humid air chemistry sets are considered. Differences between these sets, particularly in the formation of water clusters around positive ions, cause the streamer velocity to vary by up to about 50% with 10% H2O. A sensitivity analysis is performed to identify the most important chemical reactions in these chemistries.
title Positive streamer discharge simulations in humid air: uncertainty in input data and sensitivity analysis
topic Plasma Physics
url https://arxiv.org/abs/2412.03861