3360 20190219123706.0 TESIS-2009-065 eng Pallarés Ranz, Javier Unburned carbon in ash prediction in pulverized coal utility boilers. Analysis and assessment of operation strategies. Zaragoza Universidad de Zaragoza 2008 314 Presentado: 05 02 2008 Tesis-Univ. Zaragoza Zaragoza, Universidad de Zaragoza 2008 by-nc-nd Creative Commons 3.0 https://creativecommons.org/licenses/by-nc-nd/3.0/ The predictive system developed in this Thesis has the same structure as the so-called combustion kinetics models, however, it obtains the fluid and thermal description through CFD simulations. To solve the handicap of the high computational cost needed to run a CFD simulation, a neural network system is used to reproduce the solutions given by the CFD code. Moreover, a neural network system permits to interpolate in the range of variation used during the training stage, and thus, a predictive system covering the whole operational range of the plant is obtained. Unburned carbon Coal combustion modelling CFD Neural networks Arauzo Pelet, Inmaculada dir. Universidad de Zaragoza Ingeniería Mecánica zaguan@unizar.es 4138248 http://zaguan.unizar.es/record/3360/files/TESIS-2009-065.pdf Texto completo (eng) oai:zaguan.unizar.es:3360 tesis driver Ingeniería Mecánica TESIS