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Chapter 3. Demonstration of non-linear model predictive control of post-combustion CO2 capture processes (2018)
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3. Demonstration of non-linear model predictive control of post-combustion CO2 capture processes (2018)

S.O. Hauger a, N. Enaasen Fløb, H. Kvamsdal c, F. Gjertsen a, T. Mejdell c, M. Hillestad d,

aCybernetica AS, Leirfossv. 27, 7038 Trondheim, Norway bTechnology Centre Mongstad (TCM), Mongstad 71, 5954 Mongstad, Norway cSintef AS, P.O. Box 4760 Torgarden, 7465 Trondheim, Norway dNorwegian University of Science and Technology (NTNU), N-7494 Trondheim, Norway *Corresponding  author

https://doi.org/10.1016/j.compchemeng.2018.12.018
0098-1354/© 2018 Published by Elsevier Ltd.

Nonlinear model predictive control applications have been deployed on two large pilot plants for post combustion CO2 capture. The control objective is formulated in such a way  that the CO2 capture ratio is controlled at a desired value, while the reboiler duty is formulated as an unreachable maximum constraint. With a correct tuning, it is demonstrated that the controllers automatically compensate for disturbances in flue gas rates and compositions to obtain the desired capture ratio while the reboiler duty is minimized. The applications are able to minimize the transient periods between two different capture  rates with the use of minimum reboiler duty.

This article is behind a paywall. For futher information: https://www.sciencedirect.com/science/article/abs/pii/S1750583619303652?via%3Dihub