TY - JOUR
TI - Exergy diagnosis of coal fired CHP plant with application of neural and regression modelling
AU - Stanek Wojciech
AU - Budnik Michał
JN - Thermal Science
PY - 2012
VL - 16
IS - 3
SP - 773
EP - 787
PT - Article
AB - Mathematical models of the processes, that proceed in energetic machines and  devices, in many cases are very complicated. In such cases, the exact  analytical models should be equipped with the auxiliary empirical models that  describe those parameters which are difficult to model in a theoretical way.  Regression or neural models identified basing on measurements are rather  simple and are characterized by relatively short computation time. For this  reason they can be effectively applied for simulation and optimization of  steering and regulation processes, as well as, for control and thermal  diagnosis of operation (eq. power plants or CHP plants). In the paper  regression and neural models of thermal processes developed for systems of  operation control of thermal plants are presented. Theoretical-empirical  model of processes proceeding in coal fired CHP plant have been applied.  Simulative calculations basing on these models have been carried out. Results  of simulative calculations have been used for the exergetic evaluation of  considered power plant. The diagnosis procedure let to investigate the  formation of exergy costs in interconnected components of the system of CHP,  as well as, investigate the influence of defects in operation of components  on exergy losses and on the exergetic cost in other components.  [Acknowledgment. The paper has been prepared within the RECENT project  (REsearch Center for Energy and New Technologies) supported by 7th Framework  Programme, Theme 4, Capacities.]