Documents disponibles écrits par cet auteur

Sulfur recovery units / Stefano Signor in Industrial & engineering chemistry research, Vol. 49 N° 12 (Juin 2010) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 49 N° 12 (Juin 2010) . - pp. 5714–5724 Titre : Sulfur recovery units : adaptive simulation and model validation on an industrial plant Type de document : texte imprimé Auteurs : Stefano Signor, Auteur ; Flavio Manenti, Auteur ; Maria Grazia Grottoli, Auteur Année de publication : 2010 Article en page(s) : pp. 5714–5724 Note générale : Chemical engineering Langues : Anglais (eng) Mots-clés : Sulfur  recovery  units  Adaptive  simulation  parameters  Italy Résumé : The paper is aimed at discussing and fixing issues in providing a generalized approach to the simulation of sulfur recovery units (SRUs). The main goal is to get a simulation that is at the same time (i) reasonably detailed and robust to properly characterize SRUs and (ii) so generalized to provide a tool that is not only specific for the case in study. To achieve point (i), standard libraries belonging to commercial process simulators are coupled to specific heuristic relations coming from the industrial experience for modeling the thermal furnace and the catalytic Claus converters; this allows us to infer with a certain reliability those measures that are often missing or unavailable online in these processes. To achieve point (ii), a series of adaptive parameters are filled in the process simulation by making it more flexible and yet preserving all model details. The most recent techniques and numerical methods, to tune the adaptive simulation parameters, are implemented in Visual C++ and interfaced to PRO/II (by SimSci-Esscor) to obtain a robust parameter estimation solved by means of the BzzMath library. At last, the detailed and tuned adaptive simulation is validated along a period of 2 months on a large-scale SRU (TECHNIP-KTI SpA technology) operating in Italy. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie901749t [article] Sulfur recovery units : adaptive simulation and model validation on an industrial plant [texte imprimé] / Stefano Signor, Auteur ; Flavio Manenti, Auteur ; Maria Grazia Grottoli, Auteur . - 2010 . - pp. 5714–5724. Chemical engineering Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 49 N° 12 (Juin 2010) . - pp. 5714–5724 Mots-clés : Sulfur  recovery  units  Adaptive  simulation  parameters  Italy Résumé : The paper is aimed at discussing and fixing issues in providing a generalized approach to the simulation of sulfur recovery units (SRUs). The main goal is to get a simulation that is at the same time (i) reasonably detailed and robust to properly characterize SRUs and (ii) so generalized to provide a tool that is not only specific for the case in study. To achieve point (i), standard libraries belonging to commercial process simulators are coupled to specific heuristic relations coming from the industrial experience for modeling the thermal furnace and the catalytic Claus converters; this allows us to infer with a certain reliability those measures that are often missing or unavailable online in these processes. To achieve point (ii), a series of adaptive parameters are filled in the process simulation by making it more flexible and yet preserving all model details. The most recent techniques and numerical methods, to tune the adaptive simulation parameters, are implemented in Visual C++ and interfaced to PRO/II (by SimSci-Esscor) to obtain a robust parameter estimation solved by means of the BzzMath library. At last, the detailed and tuned adaptive simulation is validated along a period of 2 months on a large-scale SRU (TECHNIP-KTI SpA technology) operating in Italy. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie901749t