Abstract
This paper presents a case study application of constrained model predictive control (MPC) strategy with zone control for a coupled flue gas desulfurization system in Yangtze Petrochemical Thermal Power Plant. This desulfurization system can only be operated by manual due to its large inertia, strong nonlinearity and severe coupling between the two desulfurization towers. In this paper, the data reconciliation technology is firstly used for data processing, then a constrained MPC with zone control based on an augmented state space model is proposed to make sure that the outlet SO2 concentrations meet emission limits even under large changes of the boiler load, while making pH in the circulation tank within specified zone. Simulations are also performed in order to validate the control performance by comparing with conventional dynamic matrix control (DMC). The proposed approach is implemented on the real desulfurization system with developed software. Application results show that satisfactory desulfurization efficiency can be achieved, and the consumption of ammonia is significantly reduced.
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.
