Dynamic Simulation and Control of MEA Absorption Process for CO2 Capture from Power Plants

MEA absorption process is an approach for mitigation of CO2 from flue gas that produces from power plant. CO2 capture process is an inherent dynamic system that is affected by the variations occurring in the operating conditions of the power plant. A dynamic model for the complete MEA...

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Main Authors: Noorlisa, Harun, Douglas, P. L., Croiset, E., Sandoval, L. A.
Format: Conference or Workshop Item
Language:English
Published: 2013
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/3818/
http://umpir.ump.edu.my/id/eprint/3818/1/FKKSA-2013-Lisa-dynamic_simulation_and.pdf
id ump-3818
recordtype eprints
spelling ump-38182017-12-15T03:26:03Z http://umpir.ump.edu.my/id/eprint/3818/ Dynamic Simulation and Control of MEA Absorption Process for CO2 Capture from Power Plants Noorlisa, Harun Douglas, P. L. Croiset, E. Sandoval, L. A. TP Chemical technology MEA absorption process is an approach for mitigation of CO2 from flue gas that produces from power plant. CO2 capture process is an inherent dynamic system that is affected by the variations occurring in the operating conditions of the power plant. A dynamic model for the complete MEA absorption process was developed to study the operability of this process in a dynamic fashion. A basic feedback control strategy based on Proportional-Integral (PI) controllers was developed and implemented using this dynamic model to study the closed-loop performance of this system under the effect of external perturbations. In order to achieve the main objective of CO2 capture process and to satisfy the temperature constraint in the reboiler unit, the percentage of CO2 absorbed in the absorber column and reboiler temperature were selected as the controlled variables in the present control strategy. The PI controllers tuning parameters were initially obtained using the Internal Model Control (IMC) method. The closedloop performance of the process was improved by manually tuning the PI controllers using process knowledge and heuristics. The closed-loop test for disturbance rejection conducted in this study showed that the MEA process remained stable in the presence of changes in the flue gas flow-rate and comply with the controllability goals specified for this process. 2013-07 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/3818/1/FKKSA-2013-Lisa-dynamic_simulation_and.pdf Noorlisa, Harun and Douglas, P. L. and Croiset, E. and Sandoval, L. A. (2013) Dynamic Simulation and Control of MEA Absorption Process for CO2 Capture from Power Plants. In: Proceedings of the 6th Conference on Process Systems Engineering (PSE ASIA 2013), 25-27 June 2013 , Putra World Trade Centre (PWTC), Kuala Lumpur. pp. 1-6.. (Unpublished)
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic TP Chemical technology
spellingShingle TP Chemical technology
Noorlisa, Harun
Douglas, P. L.
Croiset, E.
Sandoval, L. A.
Dynamic Simulation and Control of MEA Absorption Process for CO2 Capture from Power Plants
description MEA absorption process is an approach for mitigation of CO2 from flue gas that produces from power plant. CO2 capture process is an inherent dynamic system that is affected by the variations occurring in the operating conditions of the power plant. A dynamic model for the complete MEA absorption process was developed to study the operability of this process in a dynamic fashion. A basic feedback control strategy based on Proportional-Integral (PI) controllers was developed and implemented using this dynamic model to study the closed-loop performance of this system under the effect of external perturbations. In order to achieve the main objective of CO2 capture process and to satisfy the temperature constraint in the reboiler unit, the percentage of CO2 absorbed in the absorber column and reboiler temperature were selected as the controlled variables in the present control strategy. The PI controllers tuning parameters were initially obtained using the Internal Model Control (IMC) method. The closedloop performance of the process was improved by manually tuning the PI controllers using process knowledge and heuristics. The closed-loop test for disturbance rejection conducted in this study showed that the MEA process remained stable in the presence of changes in the flue gas flow-rate and comply with the controllability goals specified for this process.
format Conference or Workshop Item
author Noorlisa, Harun
Douglas, P. L.
Croiset, E.
Sandoval, L. A.
author_facet Noorlisa, Harun
Douglas, P. L.
Croiset, E.
Sandoval, L. A.
author_sort Noorlisa, Harun
title Dynamic Simulation and Control of MEA Absorption Process for CO2 Capture from Power Plants
title_short Dynamic Simulation and Control of MEA Absorption Process for CO2 Capture from Power Plants
title_full Dynamic Simulation and Control of MEA Absorption Process for CO2 Capture from Power Plants
title_fullStr Dynamic Simulation and Control of MEA Absorption Process for CO2 Capture from Power Plants
title_full_unstemmed Dynamic Simulation and Control of MEA Absorption Process for CO2 Capture from Power Plants
title_sort dynamic simulation and control of mea absorption process for co2 capture from power plants
publishDate 2013
url http://umpir.ump.edu.my/id/eprint/3818/
http://umpir.ump.edu.my/id/eprint/3818/1/FKKSA-2013-Lisa-dynamic_simulation_and.pdf
first_indexed 2023-09-18T21:58:21Z
last_indexed 2023-09-18T21:58:21Z
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