Modeling and multi-objective optimization of electrified ammonia decomposition: Improvement of performance and thermal behavior

FUEL(2024)

引用 0|浏览2
暂无评分
摘要
Process electrification is one of the most viable solutions to overcoming the perpetual dependency on depleting carbon-based fossil fuels. In this study, hydrogen production via electrically heated ammonia decomposition was numerically modeled and analyzed. Aiming to improve the reaction performance, a novel design in which an in -situ electric heater is embedded amid the catalyst (i.e., EH-AD) was proposed. This design was compared with traditional configurations where heat is supplied via a wall-adjacent heater (WAH-AD) and a case where the reaction has externally supplied heat (NGH-AT). An optimization approach was conducted to further enhance the novel configuration to find the optimal operating conditions and heater position. In terms of ammonia conversion and thermal behavior, the reactor performance of EH-AD was significantly improved compared to the WAH-AD and the NGH-AD cases. The optimal EH-AD showed a significant increase in the hydrogen yield by up to 61% compared with that of WAH-AD, and the conversion nearly reached 100%, while compared to the optimized NGH-AD, the hydrogen yield increased to 70.8% with 17.9% higher conversion.
更多
查看译文
关键词
Multi -objective genetic algorithm,Genetic aggregation,Hydrogen production,Numerical analysis,In -situ Joule heater,Ammonia cracking
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要