Dynamic simulation of MEA absorption process for CO2 capture from power plants

Harun, N.; Nittaya, Thanita; Douglas, Peter; Croiset, Eric; Ricardez‐Sandoval, Luis A.

doi:10.1016/j.ijggc.2012.06.017

Cited by 119 publications

(119 citation statements)

References 126 publications

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“…The heat and mass transfer coefficients of the two phases are dependent on several property calculations such as diffusivity, viscosity, specific heat capacity, density and several other correlations. These correlations as well as the kinetic parameters for the CO 2 -MEA-H 2 O system used in this work can be found in the work of Harun [26].…”

Section: Physical and Chemical Propertiesmentioning

confidence: 90%

“…Several studies on dynamic modelling of the PCC process exist in literature. The model used in this work is based on the work of Harun et al [20]. However, the lean-rich heat exchanger was modeled using the log-mean temperature approach.…”

Section: Model Developmentmentioning

confidence: 99%

“…As can be observed from Table 1, the plant configuration used in this study is a pilot plant. The reason for this choice stems from the fact that several authors have used this configuration in the study of flexible operation and control of the PCC process [9,20]. Again, this configuration has been used to validate the absorber and desorber models on which this work is based on [20].…”

Section: Simulation Setupmentioning

confidence: 99%

See 2 more Smart Citations

Improving Flexibility and Energy Efficiency of Post-Combustion CO2 Capture Plants Using Economic Model Predictive Control

Decardi‐Nelson

Liu

2018

Processes

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Abstract:To reduce CO 2 emissions from power plants, electricity companies have diversified their generation sources. Fossil fuels, however, still remain an integral energy generation source as they are more reliable compared to the renewable energy sources. This diversification as well as changing electricity demand could hinder effective economical operation of an amine-based post-combustion CO 2 capture (PCC) plant attached to the power plant to reduce CO 2 emissions. This is as a result of large fluctuations in the flue gas flow rate and unavailability of steam from the power plant. To tackle this problem, efficient control algorithms are necessary. In this work, tracking and economic model predictive controllers are applied to a PCC plant and their economic performance is compared under different scenarios. The results show that economic model predictive control has a potential to improve the economic performance and energy efficiency of the amine-based PCC process up to 6% and 7%, respectively, over conventional model predictive control.

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Section: Physical and Chemical Propertiesmentioning

confidence: 90%

Section: Model Developmentmentioning

confidence: 99%

Section: Simulation Setupmentioning

confidence: 99%

See 1 more Smart Citation

Improving Flexibility and Energy Efficiency of Post-Combustion CO2 Capture Plants Using Economic Model Predictive Control

Decardi‐Nelson

Liu

2018

Processes

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“…The disturbances used for testing are considered realistic for a CO 2 post-combustion separation plant [15][16][17]. This separation solution using MEA solvent is the most used for chemical and natural gas industries [15] within CCS (carbon capture and storage) technology.…”

Section: B Process Disturbancesmentioning

confidence: 99%

An integrated control technique for compressor operation

Budinis

Thornhill

2014

2014 UKACC International Conference on Control (CONTROL)

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Abstract-In the gas industry the control of the compression system has two primary objectives: the operation of the machine and also its protection against damage such as that following a surge cycle. The interaction between these two control actions can be strong, causing instability and oscillations. Moreover whenever the gas is recycled for surge protection, it is not delivered as final product and energy is wasted during its

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“…Recent efforts in the CO 2 capture field have focused on dynamic model development and flexibility evaluation of different operational scenarios (Sahraei andRicardezSandoval 2014, Nittaya et al 2014). In the context of dynamic modelling, some of the recent contributors which are particularly noteworthy are (Harun et al 2012, Lawal et al 2010, Mac Dowell, 2013. They presented dynamic models for the absorber and for the desorber and investigated the effect of various changes on the performance of the capture plant.…”

Section: Introductionmentioning

confidence: 99%

Dynamic simulation and analysis of a pilot-scale CO2 post-combustion capture unit using piperazine and MEA

Gáspár¹,

Ricardez‐Sandoval

Jørgensen³

et al. 2016

IFAC-PapersOnLine

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Post-combustion capture is a promising technology for developing CO 2 neutral power plants. However, to make it economically and technically feasible, capture plants must follow the fast and large load changes of the power plants without decreasing the overall performance of the plant. Dynamic modeling and simulation is therefore needed to evaluate the performance of this plant under critical operation.In this work, we evaluate the transient response of an absorber and a desorber for step changes of key process parameters, e.g. flue gas flow and composition, lean and rich CO 2 loading, etc. We show the results for the baseline 30 wt% MEA and the low energy piperazine (PZ) solutions. This analysis reveals that the absorber reaches steady-state faster using MEA compared to PZ. This is related to the shift of the mass transfer zone due to changes in temperature. The transient operation in the regeneration unit is somewhat similar while using both solvents: an initial fast decrease of the lean loading is followed by a slow transient period as the system approaches steady-state conditions. We show the presence of inverse response in the stripper column when the rich loading decreases or the feed's temperature reduces using PZ solvent. Thus, we demonstrate that the dynamics of the MEA system cannot be extrapolated to other solvents.

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Dynamic simulation of MEA absorption process for CO2 capture from power plants

Cited by 119 publications

References 126 publications

Improving Flexibility and Energy Efficiency of Post-Combustion CO2 Capture Plants Using Economic Model Predictive Control

Improving Flexibility and Energy Efficiency of Post-Combustion CO2 Capture Plants Using Economic Model Predictive Control

An integrated control technique for compressor operation

Dynamic simulation and analysis of a pilot-scale CO2 post-combustion capture unit using piperazine and MEA

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