Economic Model Predictive Control for Post-Combustion CO 2 Capture System Based on MEA
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- Akinola, Toluleke E. & Oko, Eni & Wu, Xiao & Ma, Keming & Wang, Meihong, 2020. "Nonlinear model predictive control (NMPC) of the solvent-based post-combustion CO2 capture process," Energy, Elsevier, vol. 213(C).
- Di Wang & Xiao Wu & Jiong Shen, 2020. "An Efficient Robust Predictive Control of Main Steam Temperature of Coal-Fired Power Plant," Energies, MDPI, vol. 13(15), pages 1-24, July.
- Wu, Xiao & Wang, Meihong & Lee, Kwang Y., 2020. "Flexible operation of supercritical coal-fired power plant integrated with solvent-based CO2 capture through collaborative predictive control," Energy, Elsevier, vol. 206(C).
- Jochen Oexmann & Alfons Kather & Sebastian Linnenberg & Ulrich Liebenthal, 2012. "Post‐combustion CO 2 capture: chemical absorption processes in coal‐fired steam power plants," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 2(2), pages 80-98, April.
- Wu, Xiao & Wang, Meihong & Liao, Peizhi & Shen, Jiong & Li, Yiguo, 2020. "Solvent-based post-combustion CO2 capture for power plants: A critical review and perspective on dynamic modelling, system identification, process control and flexible operation," Applied Energy, Elsevier, vol. 257(C).
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Cited by:
- José Ramón Fernández, 2023. "An Overview of Advances in CO 2 Capture Technologies," Energies, MDPI, vol. 16(3), pages 1-4, February.
- Skjervold, Vidar T. & Mondino, Giorgia & Riboldi, Luca & Nord, Lars O., 2023. "Investigation of control strategies for adsorption-based CO2 capture from a thermal power plant under variable load operation," Energy, Elsevier, vol. 268(C).
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Keywords
post-combustion CO 2 capture system; economic model predictive control; economic performance indicators; Aspen Plus Dynamics; subspace identification;All these keywords.
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