Increase of boiler efficiency by means of targeted onload cleaning utilizing information based on mathematical modelling and advanced measurement techniques

The paper deals with the development of an online tool for slagging and fouling prediction inpulverized coal boilers. The frame of the research work is the EU funded ?Clean Selective?Project which aims on the local prediction of deposition in order to identify regions of severeslagging and fouling. Based on this information cleaning mechanisms can be undertaken toimprove the power plant performance. The demonstration power plant is the Teruel powerstation in Spain; boiler CFD calculations are carried out for various coals and load conditions,coupled with an ash deposition post-process in order to identify critical regions for ashdeposition and slagging. The online sensor is based on novel measurement techniques, suchas strain gauge and heat flux sensors. Moreover in the radiative part of the boiler a neuralnetwork model was adapted to the current operation conditions for the control of sootblowers. All in all these measures will contribute to an intelligent boiler cleaning strategy,allowing the local removal of deposits.     «

The paper deals with the development of an online tool for slagging and fouling prediction inpulverized coal boilers. The frame of the research work is the EU funded ?Clean Selective?Project which aims on the local prediction of deposition in order to identify regions of severeslagging and fouling. Based on this information cleaning mechanisms can be undertaken toimprove the power plant performance. The demonstration power plant is the Teruel powerstation in Spain; boiler CFD calculations are c...     »