Abstract
Solvent-based post-combustion carbon capture (PCC) is a mature and essential technology to solve the global warming problem. The high energy consuming issue and the flexible operation required by the power plants inquire about the development of effective control systems for PCC plants. This study proposes the optimal-based control approach that utilizes optimal set-point values for the quality controllers. The five optimal-based control schemes studied all employed L/G (liquid to gas ratio in absorber) as one quality control variable. Performance comparisons with a typical conventional control scheme are conducted employing a rate-based dynamic model for the MEA (monoethanolamine) solvent PCC process developed on a commercial process simulator. Compared to the typical control scheme, the optimal-based control schemes provide faster responses to the disturbance changes from the flue gas conditions and the set-point change of the CO2 capture efficiency, as well as better results in terms of IAEs (integral of absolute errors) of capture efficiency and reboiler heat duty during the stabilization period. LG-Tstr and LG-Tabs-Cascade are the best schemes. In addition to L/G, these two schemes employ the control of Tstr (the temperature of a stage of stripper) and a cascade control of Tabs (the temperature of a stage of absorber) (outer loop) and Tstr (inner loop), respectively.
Highlights
Carbon capture and storage (CCS) is a critical CO2 emission abatement technology
In addition to alternative process configurations and optimal operation conditions [5,6,7,8], the attention to efficiency improvements in Post-combustion CO2 capture (PCC) technology has been extended toward effective control of PCC and the flexible operation strategies of the power plant integrated with its PCC plant [2]
For the solvent-based post-combustion carbon capture process, which is an important technology but high energy-consuming technology for the remediation of global warming problem, this paper presents the performance of five optimal-based control schemes proposed in this study
Summary
Carbon capture and storage (CCS) is a critical CO2 emission abatement technology. Based on a CCS facility with a CO2 capture capacity of 1.5 million tonnes per annum (Mtpa), 2500 CCS facilities must be operated in 2040 to meet the Paris 2 ◦ C target [1]. For the integrated natural gas-fueled combined cycle power plant and PCC process, Montañés et al [19] reported experimental results of open-loop responses and performance of several decentralized control structures for load changes at the larger scale amine pilot plant at Technology Centre Mongstad. The second one is that it is necessary to adjust the operation conditions, such as the solvent flowrate or reboiler steam flowrate, with the changes in loading (e.g., the flow rate or CO2 concentration of flue gas) or set-point (e.g., the percentage or amount of CO2 capture) For these adjustments, Montañés et al [11,12] suggested the adoption of feedforward control and implemented manually in their experimental study. PCC with disturbance and set-point stand-alone changes around the nominal base load operation (±10%)
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
