Dynamic analysis and identification of a wet limestone flue Gas desulfurization pilot plan / A. L. Villanueva Perales in Industrial & engineering chemistry research, Vol. 47 n°21 (Novembre 2008)  

Public ISBD [article]  inIndustrial & engineering chemistry research > Vol. 47 n°21 (Novembre 2008) . - P. 8263–8272 Titre : Dynamic analysis and identification of a wet limestone flue Gas desulfurization pilot plan Type de document : texte imprimé Auteurs : A. L. Villanueva Perales, Auteur ; P. Ollero, Auteur ; F. J. Gutiérrez Ortiz, Auteur ; F. Vidal Barrero, Auteur Année de publication : 2008 Article en page(s) : P. 8263–8272 Note générale : Chemical engineering Langues : Anglais (eng) Résumé : In order to meet more stringent SO2 regulations that have come into force recently, the operating conditions of wet limestone flue gas desulfurization (WLFGD) plants must be changed from design conditions to others where a higher SO2 removal is obtained; this results in higher operating costs. Furthermore, because of process disturbances, the SO2 removal target is usually set somewhat higher than necessary to provide a safety margin for meeting SO2 emission limits. Thus, the larger the safety margin, the higher the operating costs. How much larger the safety margin needs to be depends on the proper tuning of the control strategy and dynamic properties of the WLFGD plant to be controlled. Both aspects can only be studied if a dynamic model of the plant is available. However, dynamic modeling of WLFGD plants for control purposes has not been addressed in the literature so far. To deal with with this issue, in this paper we propose an identification methodology for control purposes applicable to full-scale plants. The identification methodology is put into practice in a WLFGD pilot plant, and the empirical dynamic model obtained is suitable for predicting the dynamic behavior of the pilot plant in a wide range of operating conditions. The dynamic behavior of the pilot plant is further analyzed from the perspective of the physical−chemical phenomena of the WLFGD process Note de contenu : Dynamic Analysis wet limestone En ligne : http://pubs.acs.org/doi/abs/10.1021/ie071582x [article] Dynamic analysis and identification of a wet limestone flue Gas desulfurization pilot plan [texte imprimé] / A. L. Villanueva Perales, Auteur ; P. Ollero, Auteur ; F. J. Gutiérrez Ortiz, Auteur ; F. Vidal Barrero, Auteur . - 2008 . - P. 8263–8272. Chemical engineering Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 47 n°21 (Novembre 2008) . - P. 8263–8272 Résumé : In order to meet more stringent SO2 regulations that have come into force recently, the operating conditions of wet limestone flue gas desulfurization (WLFGD) plants must be changed from design conditions to others where a higher SO2 removal is obtained; this results in higher operating costs. Furthermore, because of process disturbances, the SO2 removal target is usually set somewhat higher than necessary to provide a safety margin for meeting SO2 emission limits. Thus, the larger the safety margin, the higher the operating costs. How much larger the safety margin needs to be depends on the proper tuning of the control strategy and dynamic properties of the WLFGD plant to be controlled. Both aspects can only be studied if a dynamic model of the plant is available. However, dynamic modeling of WLFGD plants for control purposes has not been addressed in the literature so far. To deal with with this issue, in this paper we propose an identification methodology for control purposes applicable to full-scale plants. The identification methodology is put into practice in a WLFGD pilot plant, and the empirical dynamic model obtained is suitable for predicting the dynamic behavior of the pilot plant in a wide range of operating conditions. The dynamic behavior of the pilot plant is further analyzed from the perspective of the physical−chemical phenomena of the WLFGD process Note de contenu : Dynamic Analysis wet limestone En ligne : http://pubs.acs.org/doi/abs/10.1021/ie071582x

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Using neural networks to address nonlinear pH control in wet limestone flue gas desulfurization plants / A. L. Villanueva Perales in Industrial & engineering chemistry research, Vol. 49 N° 5 (Mars 2010)  

Public ISBD [article]  inIndustrial & engineering chemistry research > Vol. 49 N° 5 (Mars 2010) . - pp. 2263–2272 Titre : Using neural networks to address nonlinear pH control in wet limestone flue gas desulfurization plants Type de document : texte imprimé Auteurs : A. L. Villanueva Perales, Auteur ; F. J. Gutiérrez Ortiz, Auteur ; F. Vidal Barrero, Auteur Année de publication : 2010 Article en page(s) : pp. 2263–2272 Note générale : Industrial Chemistry Langues : Anglais (eng) Mots-clés : Neural networks  Nonlinear  Control strategies Résumé : In previous articles,(1-3) we evaluated the performance of different linear control strategies (decentralized feedback control and multivariable predictive control) in wet limestone flue gas desulfurization (WLFGD) plants based on a pilot plant study. Although these control strategies show good performance, they may not be suitable if the oxidation tank pH is significantly nonlinear, which depends on many plant operating factors. Control of oxidation tank pH is important since it is related to the quality of gypsum, a byproduct of the WLFGD process. In this work, we propose and assess a combined control strategy for dealing with nonlinear pH control in WLFGD plants, based on a decentralized strategy composed of a neural predictive controller and a feedback controller, which control the oxidation tank pH and SO2 concentration of the desulfurized gas, respectively. Note de contenu : Bibliogr. ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie9007584 [article] Using neural networks to address nonlinear pH control in wet limestone flue gas desulfurization plants [texte imprimé] / A. L. Villanueva Perales, Auteur ; F. J. Gutiérrez Ortiz, Auteur ; F. Vidal Barrero, Auteur . - 2010 . - pp. 2263–2272. Industrial Chemistry Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 49 N° 5 (Mars 2010) . - pp. 2263–2272 Mots-clés : Neural networks  Nonlinear  Control strategies Résumé : In previous articles,(1-3) we evaluated the performance of different linear control strategies (decentralized feedback control and multivariable predictive control) in wet limestone flue gas desulfurization (WLFGD) plants based on a pilot plant study. Although these control strategies show good performance, they may not be suitable if the oxidation tank pH is significantly nonlinear, which depends on many plant operating factors. Control of oxidation tank pH is important since it is related to the quality of gypsum, a byproduct of the WLFGD process. In this work, we propose and assess a combined control strategy for dealing with nonlinear pH control in WLFGD plants, based on a decentralized strategy composed of a neural predictive controller and a feedback controller, which control the oxidation tank pH and SO2 concentration of the desulfurized gas, respectively. Note de contenu : Bibliogr. ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie9007584

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