Comprehensive evaluation of an ionic liquid based deep purification process for NH 3-containing industrial gas

Ammonia (NH 3 ) emission has caused serious environment issues and aroused worldwide concern. The emerging ionic liquid (IL) provides a greener way to efficiently capture NH 3 . This paper provides rigorous process simulation, optimization and assessment for a novel NH 3 deep purification process using IL. The process was designed and investigated by simulation and optimization using ionic liquid [C 4 im][NTF 2 ] as absorbent. Three objective functions, total purification cost (TPC), total process CO 2 emission (TPCOE) and thermal efficiency ( eta eff ) were employed to optimize the absorption process. Process simulation and optimization results indicate that at same purification standard and recovery rate, the novel process can achieve lower cost and CO 2 emission compared to benchmark process. After process optimization, the optimal functions can achieve 0.02726 $/Nm 3 (TPC), 311.27 kg CO 2 /hr (TPCOE), and 52.21% ( eta eff ) for enhanced process. Moreover, compared with conventional process, novel process could decrease over $ 3 million of purification cost and 10000 tons of CO 2 emission during the life cycle. The results provide a novel strategy and guidance for deep purification of NH 3 capture. (c) 2023 The Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences. Published by Elsevier B.V.