Model predictive control of a wet limestone flue gas desulfurization pilot plant
- University of Seville, Seville (Spain). Dept. of Chemical & Environmental Engineering
A model predictive control (MPC) strategy based on a dynamic matrix (DMC) is designed and applied to a wet limestone flue gas desulfurization (WLFGD) pilot plant to evaluate what enhancement in control performance can be achieved with respect to a conventional decentralized feedback control strategy. The results reveal that MPC can significantly improve both reference tracking and disturbance rejection. For disturbance rejection, the main control objective in WLFGD plants, selection of tuning parameters and sample time, is of paramount importance due to the fast effect of the main disturbance (inlet SO{sub 2} load to the absorber) on the most important controlled variable (outlet flue gas SO{sub 2} concentration). The proposed MPC strategy can be easily applied to full-scale WLFGD plants.
- OSTI ID:
- 21212653
- Journal Information:
- Industrial and Engineering Chemistry Research, Vol. 48, Issue 11; ISSN 0888-5885
- Country of Publication:
- United States
- Language:
- English
Similar Records
Pilot-plant technical assessment of wet flue gas desulfurization using limestone
Development of economical compact type wet-limestone flue gas desulfurization (FGD) process