Improved Design and Operation of Post‐combustion CO<sub>2</sub>Capture Processes with Process Modelling

Lawal, Adekola; Rodríguez, Javier; Ramos, Alfredo; Sanchis, Gerardo; Calado, M.; Samsatli, Sheila; Oko, Eni; Wang, Meihong

doi:10.1002/9781119106418.ch18

Cited by 2 publications

(1 citation statement)

References 16 publications

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“…Dynamic models help to identify and analyze the potential hazards and to develop a control strategy for a flexible and safe CC operation [42]. For optimal process performance, disturbances have to be anticipated, whether they are daily or seasonal, and changes on the operating conditions are then made with respect to the process constraints to achieve the fastest stabilizing time back to the design set point.…”

Section: Dynamic State Model Developmentmentioning

confidence: 99%

Dynamic Modeling and Control of a Simulated Carbon Capture Process for Sustainable Power-to-X

Mostafa¹,

Zondervan²

2021

Applied Sciences

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The goal of this study is to develop a dynamic model for a Carbon Capture (CC) process that can be integrated with a water electrolysis facility. The possibility of operating the post-combustion CC plant dynamically is investigated. The final model successfully tracks the parallel hydrogen production, providing the stoichiometric required CO2 stream for the subsequent methanol reactor. A dynamic model is used to configure controllers and to test the unit performance and stream conditions for various set points. Through the transient operation, the required feed gas is provided while optimizing the solvent and energy requirements. It is found that the slowest acting stage is the reboiler with a time constant of 3.8 h. Other process variables stabilize much quicker, requiring only a few minutes to reach steady-state conditions. The hydrogen-tracking scenario shows that the carbon capture plant can successfully operate under varying conditions with a maximum CO2 output increase of 7% of the minimum flowrate in the representative 24 h simulation time. The output CO2 stream is maintained at the desired >98% purity, 25 °C temperature, and 1.85 bar pressure, which allows to successfully perform hydrogen tracking operations.

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Section: Dynamic State Model Developmentmentioning

confidence: 99%

Dynamic Modeling and Control of a Simulated Carbon Capture Process for Sustainable Power-to-X

Mostafa¹,

Zondervan²

2021

Applied Sciences

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Evaluating the carbon inventory, carbon fluxes and carbon cycles for a long-term sustainable world

Tomkins

Müller

2019

Green Chem.

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Improved Design and Operation of Post‐combustion CO₂Capture Processes with Process Modelling

Cited by 2 publications

References 16 publications

Dynamic Modeling and Control of a Simulated Carbon Capture Process for Sustainable Power-to-X

Dynamic Modeling and Control of a Simulated Carbon Capture Process for Sustainable Power-to-X

Evaluating the carbon inventory, carbon fluxes and carbon cycles for a long-term sustainable world

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Improved Design and Operation of Post‐combustion CO2Capture Processes with Process Modelling

Cited by 2 publications

References 16 publications

Dynamic Modeling and Control of a Simulated Carbon Capture Process for Sustainable Power-to-X

Dynamic Modeling and Control of a Simulated Carbon Capture Process for Sustainable Power-to-X

Evaluating the carbon inventory, carbon fluxes and carbon cycles for a long-term sustainable world

Contact Info

Product

Resources

About

Improved Design and Operation of Post‐combustion CO₂Capture Processes with Process Modelling