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Highly efficient nitrogen fixation enabled by an atmospheric pressure rotating gliding arc
Author(s) -
Chen Hang,
Wu Angjian,
Mathieu Stéphanie,
Gao Peihan,
Li Xiaodong,
Xu Bo Z.,
Yan Jianhua,
Tu Xin
Publication year - 2021
Publication title -
plasma processes and polymers
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.644
H-Index - 74
eISSN - 1612-8869
pISSN - 1612-8850
DOI - 10.1002/ppap.202000200
Subject(s) - nitrogen , artificial neural network , electric arc , arc (geometry) , energy consumption , atmospheric pressure , materials science , fixation (population genetics) , volumetric flow rate , plasma , analytical chemistry (journal) , mechanics , mechanical engineering , environmental science , biological system , computer science , chemistry , engineering , electrode , physics , meteorology , electrical engineering , artificial intelligence , environmental chemistry , biochemistry , organic chemistry , quantum mechanics , biology , gene
Abstract 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 x 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 x production (4.2 MJ/mol) is achieved at a gas flow rate of 12 L/min and an O 2 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.