Author
Ji-Hun Mun
Bio: Ji-Hun Mun is an academic researcher from Chungbuk National University. The author has contributed to research in topics: Activity coefficient & Aqueous solution. The author has co-authored 1 publications.
Papers
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TL;DR: In this article, the absorption mechanism of CO2 in an aqueous solution containing three alkanolamines was analyzed experimentally and theoretically, and the vapor-liquid equilibrium of a CO2-monoethanolamine (MEA)-diisopropanolamines (DIPA)-2-amino-2-methyl-propanol (AMP) and H2O system was evaluated experimentally over a wide temperature range (323.15-393.15 K).
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TL;DR: In this article , a new CO2 absorption solution was developed by blending monoethanolamine (MEA) and diisopropanolamines (DIPA) in H2O.
11 citations
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TL;DR: In this article , the experimental data on CO2 solubility in aminoehtylethanolamine (AEEA) and diethanolamines (DEA) under different amine blending ratios (9:21, 15:15 and 21:9 wt% AEEA: DEA, respectively and remaining 70 wt%) was reported.
TL;DR: In this article , a novel NH3 deep purification process using ionic liquid [C4im][NTF2] as absorbent was designed and investigated by simulation and optimization.
Abstract: Ammonia (NH3) emission has caused serious environment issues and aroused worldwide concern. The emerging ionic liquid (IL) provides a greener way to efficiently capture NH3. This paper provides rigorous process simulation, optimization and assessment for a novel NH3 deep purification process using IL. The process was designed and investigated by simulation and optimization using ionic liquid [C4im][NTF2] as absorbent. Three objective functions, total purification cost (TPC), total process CO2 emission (TPCOE) and thermal efficiency (ηeff) 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 CO2 emission compared to benchmark process. After process optimization, the optimal functions can achieve 0.02726 $/Nm3 (TPC), 311.27 kg CO2/hr (TPCOE), and 52.21% (ηeff) for enhanced process. Moreover, compared with conventional process, novel process could decrease over $ 3 million of purification cost and 10000 tons of CO2 emission during the life cycle. The results provide a novel strategy and guidance for deep purification of NH3 capture.