氮气
大气压力
氧气
大气压等离子体
等离子体
环境科学
电弧
理论(学习稳定性)
弧(几何)
大气氧
材料科学
大气科学
化学
环境化学
气象学
地质学
工程类
电极
计算机科学
物理
机械工程
有机化学
物理化学
量子力学
机器学习
作者
Filippo Manaigo,Omid Samadi Bahnamiri,Abhyuday Chatterjee,Adriano Panepinto,Arnaud Krumpmann,M. Michiels,Annemie Bogaerts,Rony Snyders
出处
期刊:ACS Sustainable Chemistry & Engineering
[American Chemical Society]
日期:2024-03-16
卷期号:12 (13): 5211-5219
标识
DOI:10.1021/acssuschemeng.3c08257
摘要
Nonthermal plasmas are currently being studied as a green alternative to the Haber–Bosch process, which is, today, the dominant industrial process allowing for the fixation of nitrogen and, as such, a fundamental component for the production of nitrogen-based industrial fertilizers. In this context, the gliding arc plasma (GAP) is considered a promising choice among nonthermal plasma options. However, its stability is still a key parameter to ensure industrial transfer of the technology. Nowadays, the conventional approach to stabilize this plasma process is to use external resistors. Although this indeed allows for an enhancement of the plasma stability, very little is reported about how it impacts the process efficiency, both in terms of NOx yield and energy cost. In this work, this question is specifically addressed by studying a DC-powered GAP utilized for nitrogen fixation into NOx at atmospheric pressure stabilized by variable external resistors. Both the performance and the stability of the plasma are reported as a function of the utilization of the resistors. The results confirm that while the use of a resistor indeed allows for a strong stabilization of the plasma without impacting the NOx yield, especially at high plasma current, it dramatically impacts the energy cost of the process, which increases from 2.82 to 7.9 MJ/mol. As an alternative approach, we demonstrate that the replacement of the resistor by an inductor is promising since it allows for decent stabilization of the plasma, while it does not affect either the energy cost of the process or the NOx yield.
科研通智能强力驱动
Strongly Powered by AbleSci AI