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Unraveling NO Production in N 2 -O 2 Plasmas with 0D Kinetic Modeling and Experimental Validation.

Tiago SilvaSusanta BeraCarlos D PintassilgoAnja HerrmannStefan WelzelMihalis N TsampasMauritius C M van de SandenLuís L AlvesVasco Guerra
Published in: The journal of physical chemistry. A (2024)
This work presents a detailed investigation aimed at understanding the key mechanisms governing nitric oxide (NO) production in N 2 -O 2 discharges by systematically comparing experimental results to modeling data. The experimental phase capitalizes on radiofrequency (13.56 MHz) discharges, sustained at 5 mbar pressure conditions, featuring varying concentrations of oxygen, ranging from pure N 2 plasma to air-like mixtures. On the modeling front, we adopt an integrated approach that combines the solution of the Boltzmann equation for electrons with a system of rate balance equations for heavy species. To account for ground state NO(X) generation at the reactor wall, we combine the volume chemistry with a mesoscopic description of the surface, taking into account adsorption sites and various elementary surface phenomena. Comparisons between experiments and modeling demonstrate very good agreement, extending beyond NO(X) formation to encompass other species in the plasma such as N 2 O(X) and atomic nitrogen N( 4 S). Noteworthy findings include (i) the pivotal role of surface mechanisms in NO(X) production, particularly at low oxygen content values; (ii) the significance of accurately describing the postdischarge phase, where depletion of plasma species occurs at different time scales (millisecond range); and (iii) the importance of vibrationally and electronically excited states (e.g., O 2 (b)) in elucidating NO(X) formation dynamics, crucial for unraveling reaction pathways and energy transfer processes. This work makes an important step toward formulating a comprehensive reaction mechanism for N 2 and N 2 -O 2 plasmas applied to nitrogen fixation, covering both volume and surface mechanisms, and lays a robust foundation for future research on plasma-based NO(X) production, particularly in the presence of catalysts.
Keyphrases
  • energy transfer
  • nitric oxide
  • minimally invasive
  • machine learning
  • hydrogen peroxide
  • ionic liquid
  • artificial intelligence
  • solid state