A Method for Building a Coal Quality Database

In order to ensure the accuracy of the online monitoring system for coal consumption in the energy-conservation power generation dispatch,a coal quality database for the power plants in a certain area was built based on the method of statistical analysis and clustering caculation to reduce the errors caused by the complex coal quality and the off-line input during the online calculation of the boiler efficiency. The results show that the errors less than 600 kJ / kg between the caculated heat ofvirtual coaland the laboratory values can be up to 92. 4%. And the heat obtained from the database matches well with the laboratory values in the power plants in practical application,with the maximum error less than 700 kJ / kg. It can enhance the fairness and impartiality of the online monitoring system for the power plants in a certain region using the virtual coal database during the online calculation of boiler efficiency.