Background. When developing standard energy characteristics of thermal power plant equipment, both load initial-nominal characteristics of thermal efficiency indicators, and correction data of the deviation of external factor values of fixed conditions must be determined. For the equipment of traditional steam-power cycle, correction data are usually taken based on typical energy characteristics or calculated according to methods approved by governing documents. For gas turbine units, typical energy characteristics as well as corresponding standard methods to calculate correction data are absent. Therefore, practically, correction data for gas turbine units are usually taken based on thermal balance test data, and in case of their absence correction data are taken according to the manufacturer data, which is the result of an approximate calculation. The latter leads to errors during the analysis of thermal efficiency indicators of the equipment in operation. Since most of correction data applied to gas turbine units can be considered linear in the first approximation, a method based on the multiple linear regression model can be proposed for their determination.
Materials and methods. In this case, it is necessary to have a large volume of operational observation data. For gas turbine units it is usually ensured due to the relatively high level of the applied automated process control systems. The proposed method to determine the correction data has been tested on the basis of actual data on the operation of the SGT-800 gas turbine unit.
Results. The authors have proposed a method to determine the correction data of the thermal efficiency indicators of gas turbine units during the development of standard energy characteristics based on operational observations data. The developed method has been tested in relation to a gas turbine unit in operation.
Conclusions. The developed method can be recommended to develop standard energy characteristics of gas turbine units in the absence of results of thermal balance tests and typical energy characteristics. The method is also applicable for verification of mathematical models of gas turbine units based on the energy characteristics of equipment and used in systems for optimization of the operation modes of equipment at thermal power plants.