Model Predictive Control of a Wet Limestone Flue Gas Desulfurization Pilot Plant
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...
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Veröffentlicht in: | Industrial & engineering chemistry research 2009-06, Vol.48 (11), p.5399-5405 |
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creator | Villanueva Perales, A. L Ollero, P Gutiérrez Ortiz, F. J Gómez-Barea, A |
description | 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 SO2 load to the absorber) on the most important controlled variable (outlet flue gas SO2 concentration). The proposed MPC strategy can be easily applied to full-scale WLFGD plants. |
doi_str_mv | 10.1021/ie801530x |
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The proposed MPC strategy can be easily applied to full-scale WLFGD plants.</description><identifier>ISSN: 0888-5885</identifier><identifier>EISSN: 1520-5045</identifier><identifier>DOI: 10.1021/ie801530x</identifier><identifier>CODEN: IECRED</identifier><language>eng</language><publisher>Washington, DC: American Chemical Society</publisher><subject>01 COAL, LIGNITE, AND PEAT ; Applied sciences ; Atmospheric pollution ; Chemical engineering ; Exact sciences and technology ; General processes of purification and dust removal ; LIME-LIMESTONE WET SCRUBBING PROCESSES ; ON-LINE CONTROL SYSTEMS ; PILOT PLANTS ; Pollution ; POLLUTION CONTROL EQUIPMENT ; Prevention and purification methods ; Process Design and Control</subject><ispartof>Industrial & engineering chemistry research, 2009-06, Vol.48 (11), p.5399-5405</ispartof><rights>Copyright © 2009 American Chemical Society</rights><rights>2009 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a317t-ecf92947ffa1ad3bcdbf98ddf3ba1cbf9ca061097bff9fd366e325e189b4d5673</citedby><cites>FETCH-LOGICAL-a317t-ecf92947ffa1ad3bcdbf98ddf3ba1cbf9ca061097bff9fd366e325e189b4d5673</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://pubs.acs.org/doi/pdf/10.1021/ie801530x$$EPDF$$P50$$Gacs$$H</linktopdf><linktohtml>$$Uhttps://pubs.acs.org/doi/10.1021/ie801530x$$EHTML$$P50$$Gacs$$H</linktohtml><link.rule.ids>230,314,776,780,881,2752,27053,27901,27902,56713,56763</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=21562622$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.osti.gov/biblio/21212653$$D View this record in Osti.gov$$Hfree_for_read</backlink></links><search><creatorcontrib>Villanueva Perales, A. 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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 SO2 load to the absorber) on the most important controlled variable (outlet flue gas SO2 concentration). The proposed MPC strategy can be easily applied to full-scale WLFGD plants.</description><subject>01 COAL, LIGNITE, AND PEAT</subject><subject>Applied sciences</subject><subject>Atmospheric pollution</subject><subject>Chemical engineering</subject><subject>Exact sciences and technology</subject><subject>General processes of purification and dust removal</subject><subject>LIME-LIMESTONE WET SCRUBBING PROCESSES</subject><subject>ON-LINE CONTROL SYSTEMS</subject><subject>PILOT PLANTS</subject><subject>Pollution</subject><subject>POLLUTION CONTROL EQUIPMENT</subject><subject>Prevention and purification methods</subject><subject>Process Design and Control</subject><issn>0888-5885</issn><issn>1520-5045</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><recordid>eNptkE9LAzEUxIMoWKsHv0FAPHhYzZ_NNnuUaqtQcQ-KxyWbvGDKNilJVtRP70pFL_IO8w6_GZhB6JSSS0oYvXIgCRWcvO-hCRWMFIKUYh9NiJSyEFKKQ3SU0poQIkRZTlDzEAz0uIlgnM7uDfA8-BxDj4PFCr9Axiu3gZSDB7zoB8BLlfANpKG3Q3SfKrvgceP6kHHTK5-P0YFVfYKTH52i58Xt0_yuWD0u7-fXq0JxOssFaFuzupxZq6gyvNOms7U0xvJOUT3-WpGKknrWWVtbw6sKOBNAZd2VRlQzPkVnu9yQsmuTdhn0qw7eg84to-NVgo_UxY7SMaQUwbbb6DYqfrSUtN-Dtb-Djez5jt2qpFVvo_LapV8Do6JiFWN_nNKpXYch-rHnP3lfZrR3Mg</recordid><startdate>20090603</startdate><enddate>20090603</enddate><creator>Villanueva Perales, A. 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L</creatorcontrib><creatorcontrib>Ollero, P</creatorcontrib><creatorcontrib>Gutiérrez Ortiz, F. J</creatorcontrib><creatorcontrib>Gómez-Barea, A</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>OSTI.GOV</collection><jtitle>Industrial & engineering chemistry research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Villanueva Perales, A. L</au><au>Ollero, P</au><au>Gutiérrez Ortiz, F. J</au><au>Gómez-Barea, A</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Model Predictive Control of a Wet Limestone Flue Gas Desulfurization Pilot Plant</atitle><jtitle>Industrial & engineering chemistry research</jtitle><addtitle>Ind. Eng. Chem. Res</addtitle><date>2009-06-03</date><risdate>2009</risdate><volume>48</volume><issue>11</issue><spage>5399</spage><epage>5405</epage><pages>5399-5405</pages><issn>0888-5885</issn><eissn>1520-5045</eissn><coden>IECRED</coden><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 SO2 load to the absorber) on the most important controlled variable (outlet flue gas SO2 concentration). 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subjects | 01 COAL, LIGNITE, AND PEAT Applied sciences Atmospheric pollution Chemical engineering Exact sciences and technology General processes of purification and dust removal LIME-LIMESTONE WET SCRUBBING PROCESSES ON-LINE CONTROL SYSTEMS PILOT PLANTS Pollution POLLUTION CONTROL EQUIPMENT Prevention and purification methods Process Design and Control |
title | Model Predictive Control of a Wet Limestone Flue Gas Desulfurization Pilot Plant |
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