This is the first mathematical model of power plant Tube-ball mills to cover the whole milling process.A novel on-line model based power plant condition monitoring method is reported.The online implementation of the model is achieved and the model was verified through online test.The model parameters can be on-line updated/optimised using Genetic Algorithms.
With the fast growth in intermittent renewable power generation, unprecedented demands for power plant operation flexibility have posed new challenges to the ageing conventional power plants in the UK. Adding biomass to coal for co-fired power generation has become widely implemented practices in order to meet the emission regulation targets. These have impacted the coal mill and power plant operation safety and reliability. The Vertical Spindle mill model was developed through the authors work before 2007. From then, the new research progress has been made in modelling and condition monitoring for Tube-ball mills and is reported in the paper. A mathematical model for Tube-ball milling process is developed by applying engineering principles combined with model unknown parameter identifications using a computational intelligent algorithm. The model describes the whole milling process from the mill idle status, start-up to normal grinding and shut-down. The model is verified using on-site measurement data and on-line test. The on-line model is used for mill condition monitoring in two ways: (i) to compare the predicted and measured mill output pressure and temperatures and to raise alarms if there are big discrepancies; and (ii) to monitor the mill model parameter variation patterns which detect the potential faults and mill malfunctions.
KIMA Echtzeitsystemes fill-level measuring device, used for ball mills in the cement industry for over seven years, has now been adapted and developed for use in coal mills. A new fill-level sensor enables reliable fill-level measurements, even with fluctuations in coal quality or moisture levels. Tested over a period of several months, the SmartFill for Coal has proven itself able to take precise fill-level measurements reliably and without errors. The technology helps to achieve homogenous degrees of fineness, thereby improving the combustion properties of the coal. This, in turn, leads to a reduction in unburned coal and, consequently, better energy efficiency, the company says. (http://www.kimae.de)Get in Touch with Mechanic