Conference article

Simulation of CO2 Absorption at TCM Mongstad for Performance Data Fitting and Prediction

Lars Erik Øi
Department of and Process, Energy and Environmental Technology, University of South-Eastern Norway

Sofie Fagerheim
Department of and Process, Energy and Environmental Technology, University of South-Eastern Norway and Multiconsult, N-8001 Bodø

Download articlehttps://doi.org/10.3384/ecp20176332

Published in: Proceedings of The 61st SIMS Conference on Simulation and Modelling SIMS 2020, September 22-24, Virtual Conference, Finland

Linköping Electronic Conference Proceedings 176:47, p. 332-337

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Published: 2021-03-03

ISBN: 978-91-7929-731-2

ISSN: 1650-3686 (print), 1650-3740 (online)

Abstract

The main purpose of this work has been to fit simulated models to performance data from Test Centre Mongstad (TCM), and evaluate whether fitted parameters for one scenario (a set of experimental data at specified conditions) give reasonable predictions at other conditions. Five scenarios from the amine based CO2 absorption process at TCM have been simulated in a rate-based model in Aspen Plus and an equilibrium based model in Aspen HYSYS and Aspen Plus. It was evaluated whether a fitted interfacial area (for the rate-based model) or an EM-profile (Murphree efficiency on each of 24 stages for the equilibrium based model) gave a good prediction of CO2 removal rate and temperature profile for other conditions. An indication of the predictive performance of the rate-based model is that the interfacial area fitted to the different scenarios had to be varied between 0.29 and 1.0 to obtain the experimental CO2 removal efficiency. Using a specific EM-profile was able to predict both the CO2 removal and the temperature profile for all the scenarios reasonably well. An EM-factor multiplying all the EM values in an EM-profile from another scenario was fitted to values between 0.60 and 1.02 for all the scenarios.

Keywords

CO2, amine, absorption, simulation

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