Highly efficient nitrogen fixation enabled by an atmospheric pressure rotating gliding arc



Chen, Hang, Wu, Angjian, Mathieu, Stephanie, Gao, Peihan, Li, Xiaodong, Xu, Bo Z, Yan, Jianhua and Tu, Xin ORCID: 0000-0002-6376-0897
(2021) Highly efficient nitrogen fixation enabled by an atmospheric pressure rotating gliding arc. PLASMA PROCESSES AND POLYMERS, 18 (7). p. 2000200.

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Abstract

<jats:title>Abstract</jats:title><jats:p>A rotating gliding arc is proposed as a promising alternative to enable direct nitrogen fixation from ubiquitous air under mild conditions. The effect of different process parameters on NO<jats:sub> <jats:italic>x</jats:italic> </jats:sub> generation and energy consumption has been investigated through a combination of experiments and artificial neural network (ANN) modeling. The optical emission spectroscopic diagnostics together with electrical diagnostics and high‐speed photography has been used to understand the variation of the discharge characteristics. The lowest energy consumption of NO<jats:sub> <jats:italic>x</jats:italic> </jats:sub> production (4.2 MJ/mol) is achieved at a gas flow rate of 12 L/min and an O<jats:sub>2</jats:sub> concentration of 20 vol%. The simulation results from the ANN model show a good agreement with the experimental data and the model enables us to evaluate the relative importance of the process parameters to the reaction performance.</jats:p>

Item Type: Article
Uncontrolled Keywords: artificial neural network, machine learning, nitrogen fixation, nonthermal plasma, NOx synthesis, rotating gliding arc
Divisions: Faculty of Science and Engineering > School of Electrical Engineering, Electronics and Computer Science
Depositing User: Symplectic Admin
Date Deposited: 03 Jun 2021 12:38
Last Modified: 04 Sep 2023 03:08
DOI: 10.1002/ppap.202000200
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3119331