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Title: Model predictive control of a wet limestone flue gas desulfurization pilot plant

Abstract

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.

Authors:
; ; ;  [1]
  1. University of Seville, Seville (Spain). Dept. of Chemical & Environmental Engineering
Publication Date:
OSTI Identifier:
21212653
Resource Type:
Journal Article
Resource Relation:
Journal Name: Industrial and Engineering Chemistry Research; Journal Volume: 48; Journal Issue: 11
Country of Publication:
United States
Language:
English
Subject:
01 COAL, LIGNITE, AND PEAT; LIME-LIMESTONE WET SCRUBBING PROCESSES; PILOT PLANTS; ON-LINE CONTROL SYSTEMS; POLLUTION CONTROL EQUIPMENT

Citation Formats

Perales, A.L.V., Ollero, P., Ortiz, F.J.G., and Gomez-Barea, A.. Model predictive control of a wet limestone flue gas desulfurization pilot plant. United States: N. p., 2009. Web. doi:10.1021/ie801530x.
Perales, A.L.V., Ollero, P., Ortiz, F.J.G., & Gomez-Barea, A.. Model predictive control of a wet limestone flue gas desulfurization pilot plant. United States. doi:10.1021/ie801530x.
Perales, A.L.V., Ollero, P., Ortiz, F.J.G., and Gomez-Barea, A.. Mon . "Model predictive control of a wet limestone flue gas desulfurization pilot plant". United States. doi:10.1021/ie801530x.
@article{osti_21212653,
title = {Model predictive control of a wet limestone flue gas desulfurization pilot plant},
author = {Perales, A.L.V. and Ollero, P. and Ortiz, F.J.G. and Gomez-Barea, A.},
abstractNote = {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.},
doi = {10.1021/ie801530x},
journal = {Industrial and Engineering Chemistry Research},
number = 11,
volume = 48,
place = {United States},
year = {Mon Jun 15 00:00:00 EDT 2009},
month = {Mon Jun 15 00:00:00 EDT 2009}
}