Dynamic model validation of the post-combustion CO2 absorption process

Flø, Nina Enaasen; Knuutila, Hanna; Kvamsdal, Hanne M.; Hillestad, Magne

doi:10.1016/j.ijggc.2015.07.003

Cited by 45 publications

(24 citation statements)

References 28 publications

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“…Several experiments, pilot plant tests and theoretical simulations have been carried out to investigate the optimum amine concentration for CO 2 capture systems [2,3]. Amine volatility for pure amine is, in general, higher than aqueous alkanolamine volatility.…”

Section: Co 2 Capture By Aqueous Alkanolamine Solventsmentioning

confidence: 99%

Process Analytical Technology for CO2 Capture

Jinadasa¹,

Jens²,

Halstensen³

2018

Carbon Dioxide Chemistry, Capture and Oil Recovery

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Carbon capture and storage, which is also known as CCS, is an obligatory climate change mitigation technology to reduce the carbon dioxide gas emissions to the atmosphere thus limiting the average global temperature increase to 2°C. Process analytical technology is a scientific tool to improve process qualities and performance through timely measurements. This chapter describes how process analytical technology can be imbedded to a carbon capture technology by giving a detailed example of implementation of a process analyzer to CO 2 capture by alkanolamine absorption process. Such an implementation requires success in five elements, which are described in this chapter. They are as follows: selecting an appropriate process analyzer, integration between the analyzer and the process, model development to enable the analyzer to predict a process-related chemical or physical attribute, use of the developed model in real-time application and use of the data obtained from the analyzer as an input to a process control unit. Partial least square regression model is a useful chemometric-based method to extract hidden chemical information in measurements from a process analyzer. In this chapter, four partial least square regression models are presented, which are developed to predict CO 2 concentration for four different alkanolamine solutions when these amines are used to absorb CO 2 from a combustion process.

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Section: Co 2 Capture By Aqueous Alkanolamine Solventsmentioning

confidence: 99%

Process Analytical Technology for CO2 Capture

Jinadasa¹,

Jens²,

Halstensen³

2018

Carbon Dioxide Chemistry, Capture and Oil Recovery

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“…Similar to previous works, the energy conservation Eqs. (3) and (6), include a conductive heat transfer term (q cond ), a heat source term (q gen ) and a convective term (Enaasen Flø et al, 2015;Gáspár and Cormoş , 2011;Nittaya et al, 2014). The source term represents the heat produced by CO 2 and H 2 O evaporation respectively condensation.…”

Section: Gas Phase Equationsmentioning

confidence: 99%

“…A dynamic continuous stirred-tank model is used for simulation of the absorber sump (Harun et al, 2012). The reboiler and heat exchanger is modelled as a flash tank with instantaneous heat exchange between the heating medium and solvent assuming perfect level control, similar to (Enaasen Flø et al, 2015).…”

Section: Gas Phase Equationsmentioning

confidence: 99%

Controllability and flexibility analysis of CO 2 post-combustion capture using piperazine and MEA

Gáspár

Ricardez‐Sandoval

Jørgensen

et al. 2016

International Journal of Greenhouse Gas Control

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“…A K-Spice model by Flø et al was validated with pilot plant data from the Brindisi pilot plant [39]. Flø et al [40] validated a dynamic process model of CO 2 absorption process, developed in Matlab, with steady-state and transient pilot plant data from the Gløshaugen (Norwegian University of Science and Technology (NTNU)/SINTEF) pilot plant. Van de Haar et al [41] conducted dynamic process model validation of a dynamic process model in Modelica with transient data from a pilot plant located at the site of the coal-fired Maasvlakte power plant in the Netherlands.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Process Model Validation and Control of the Amine Plant at CO2 Technology Centre Mongstad

2017

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This paper presents a set of steady-state and transient data for dynamic process model validation of the chemical absorption process with monoethanolamine (MEA) for post-combustion CO 2 capture of exhaust gas from a natural gas-fired power plant. The data selection includes a wide range of steady-state operating conditions and transient tests. A dynamic process model developed in the open physical modeling language Modelica is validated. The model is utilized to evaluate the open-loop transient performance at different loads of the plant, showing that pilot plant main process variables respond more slowly at lower operating loads of the plant, to step changes in main process inputs and disturbances. The performance of four decentralized control structures is evaluated, for fast load change transient events. Manipulation of reboiler duty to control CO 2 capture ratio at the absorber's inlet and rich solvent flow rate to control the stripper bottom solvent temperature showed the best performance.

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Dynamic model validation of the post-combustion CO2 absorption process

Cited by 45 publications

References 28 publications

Process Analytical Technology for CO2 Capture

Process Analytical Technology for CO2 Capture

Controllability and flexibility analysis of CO 2 post-combustion capture using piperazine and MEA

Dynamic Process Model Validation and Control of the Amine Plant at CO2 Technology Centre Mongstad

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