A Method for Establishing the Database of Coal Quality

To guarantee the accuracy of a coal consumption on-line real-time monitoring system in the process of energy-saving power generation dispatching and lower the deviation of the boiler efficiency arisen from the complexity of coal quality and uncertainty of the artificial off-line input during the on-line calculation of the boiler efficiency,the statistical and clustering calculation method and others were used to build a database of coal quality for specific zones in a power plant. It has been found that coal having an error within 600 k J / kg between the heating value calculated by using theunreal coal qualitythus established and that tested on the basis of the real coal quality occupies 92. 4%,thus achieving a relatively good overall matching degree. In the real applications,the heating value taken from the database established on the basis of the unreal coal quality always keeps high consistency with the heating value tested on the same day with the maximum error being controlled within 700 k J / kg. To use the database established on the basis of the unreal coal quality to conduct an on-line calculation of the boiler efficiency can guarantee comparatively well the justice and impartiality of an on-line coal consumption monitoring system on various power plants in a region.