Analysis of the comparative efficiency of wind power plants based on the geographical location and climatic conditions

The analysis of the comparative efficiency of wind power plant based on the geographical location and climatic conditions is considered. It is shown that in geographically remote areas, where fuel delivery is not economically profitable, it is possible to use wind power plants aimed at generating heat energy. Preconditions for the use of wind power plants for heating water and heating buildings are presented, which are associated with the possibility of energy storage in the form of hot water. Therefore, the input parameters of the wind power plant model were considered taking into account the heat storage unit. The Installed capacity utilization factor is adopted as a criterion for the efficiency of the wind power plant, which determines the ratio of the energy actually generated by the device for a certain period to the maximum possible. This is the energy that can be generated if the wind power plant operates at 100% power for a given period of time. This coefficient shows how loaded the wind power plant is in a given climatic zone. Installed capacity utilization factor is calculated for each wind station separately, depending on its geographical location and the technical indicators of the wind station itself. The DEA method was used to analyze the comparative efficiency of the wind power plants and its advantages were shown, such as the absence of restrictions on the units of measurement, as well as the fact that the efficiency can be determined only on the basis of data from the sample. In the analysis, a modification of the DEA method was used, which makes it possible to take into account the climatic zone of the location of the wind power plant. This directly affects the efficiency of both thermal and electrical energy generation. A web application has been developed for calculating the comparative efficiency of thermal power plants through the user interface using a modified DEA method, which reduces the time and improves the quality of periodic calculations for the person who makes decisions about the geographical location of wind power plants.