TY - JOUR Y1 - 2017/// A1 - Isa, F. A1 - Zabiri, H. A1 - Ramasamy, M. A1 - Tufa, L.D. A1 - Shariff, A.M. A1 - Saleh, S.F. ID - scholars9411 SN - 17505836 TI - Pressure modification index based on hydrodynamics and mass transfer effects for modeling of CO2 removal from natural gas via absorption at high pressures SP - 173 N1 - cited By 6 PB - Elsevier Ltd UR - https://www.scopus.com/inward/record.uri?eid=2-s2.0-84999788864&doi=10.1016%2fj.ijggc.2016.11.024&partnerID=40&md5=26d4f94043bd4e525910fd674089c769 EP - 186 KW - Carbon dioxide; Ethanolamines; Gas absorption; Heat transfer; Natural gas; Natural gasoline plants; Pilot plants; Reaction kinetics KW - CO2 absorption; Comparative studies; Effective interfacial areas; High pressure; Mass transfer effects; Mass transfer rate; Non-equilibrium modeling; Nonequilibrium model KW - Mass transfer KW - absorption; carbon dioxide; error analysis; experimental study; high pressure; hydrodynamics; mass transfer; model validation; natural gas JF - International Journal of Greenhouse Gas Control VL - 56 N2 - In this paper, experimental works involving high concentration CO2 removal at elevated pressures are conducted using a high pressure CO2 pilot plant and the result is used to validate a simulation model based on established models in the literature. A rate based non-equilibrium model using 20 wt aqueous monoethanolamine (MEA) is developed based on the work of Pandya (1983). The model considers reaction kinetics, mass transfer rate and heat transfer. Since the condition of CO2 removal at atmospheric and high pressure are different, a pressure modification index is proposed and incorporated in the mass transfer flux equation to account for the non-idealities. Comparative study involving the modified model with index-f, original rate-based non-equilibrium model, Aspen Plus equilibrium and non-equilibrium models has also been carried out for the CO2 loading at the top column exit of 1.505 m. It is found that the introduction of the proposed pressure modification index together with proper selection of mass transfer and effective interfacial area correlations results in an improvement in the average error from more than 100 to as low as 18 between the estimated and the pilot plant data. © 2016 Elsevier Ltd AV - none ER -