Title :
Application of first-principles based techniques for compounds prediction in a gasification plant
Author :
Zanoli, Silvia Maria ; Astolfi, G.
Author_Institution :
D.I.I., Univ. Politec. delle Marche, Ancona, Italy
Abstract :
In this work a first-principles based model for the prediction of the Syngas composition produced in a gasification plant is described. The model design is based on chemical-physical principles of the gasification process and is based on nonlinear static equations. For the formulation of the equations, Gibbs energy minimization of the compound used in the gasification process is taken into account together with computations of material balance.
Keywords :
fault diagnosis; free energy; fuel gasification; industrial plants; predictive control; syngas; Gibbs energy minimization; chemical-physical model; chemical-physical principles; compounds prediction; estimation performances; fault diagnosis system; first-principles based model; first-principles based techniques; gasification plant; gasification process; linear model; material balance; model-based predictive control strategy; nonlinear static equations; process optimization; stoichiometric ratio; syngas composition; Chemical elements; Chemicals; Compounds; Equations; Estimation; Mathematical model; Predictive models;
Conference_Titel :
Control Conference (ECC), 2013 European
