Modeling the process of calculating indicators of thermal efficiency of state district power station equipment

Abstract

During the operation of state district power station, it is necessary to calculate the technical and economic performance (TEP) of the equipment operation based on the results of measuring the parameters of heat carrier flows. In particular, such tasks are solved during thermal (balance, functional) tests of heat and power equipment, as well as during the preparation of monthly technical reports of the state district power station on thermal efficiency. Therefore, the urgent task is to develop the model of calculating the indicators of the thermal efficiency of the equipment of the state district power station using modern computerized tools. Methods of business processes modelling, and mathematical modeling are used to solve this problem. The developed model of the project is based on the principles and approaches of systems analysis. The model is adapted to a specific subject area and allows you to optimize the process of calculating the key parameters of the efficiency of the state district power station operation: power plant capacity, heat load, specific fuel consumption and overall efficiency of the power plant. An information system model was developed to automate the process of calculating the TEP to ensure a more economic operation of equipment due to reducing the time and cost of this process.Based on the analysis of the developed models, a project was developed to automate the process of TEP calculating to ensure more economical equipment operation, to predict equipment repair, and assess the quality of operating personnel work. The paper presents the architecture of the solution of the information system for TEP accounting, the model of the subsystem of calculation modules, the structural diagram of the operation of the data collection module, the interface of designed information system. The developed model of the project for automation of the TPE calculation process allows us to increase the efficiency of the enterprise due to increasing the efficiency and promptness of managerial decisions, reducing fuel costs, saving on consumables, and personnel cuts.