Development of artificial neural network (ANN) models using real plant data for the prediction of fresh steam properties from a brown coal-fired boiler of a Slovenian power plant is reported. Input parameters for this prediction were selected from a large number of available parameters. Initial selection was made on a basis of expert knowledge and previous experience. Two models were developed. Both models show good accuracy in prediction of real data not used for their training. Thus both of them are proved suitable for use in real life, either on-line or off-line.
COBISS.SI-ID: 10781211
The efficiency of coal-fired power plants is determined according to standardized procedures. Currently, Guidelines VDI 3986 and standard DIN EN 12952-15 [1] are valid. If solid fuel is used its mass flow is calculated indirectly according to procedures stated in DIN 12952-15. This article proposes, presents and evaluates some modifications of the standardized indirect method DIN 12952-15 regarding the consistency of computations and accuracy of the results. Most of the modifications were introduced recently in reference which where were treated generally.
COBISS.SI-ID: 10835995