THE USE OF INFORMATION TECHNOLOGIES FOR OPTIMIZATION OF ENERGY CONSUMPTION MANAGEMENT

Abstract

Information technology in the energy sector is a key factor for achieving optimal efficiency and sustainability in all aspects of energy production and consumption. It not only provides a basis for making informed management decisions, but also promotes innovation, the use of renewable energy sources, and improves the overall performance of energy systems. Information technologies help to realize the concept of making smart energy decisions that meet the needs of efficient and sustainable development in the energy sector. The theoretical and practical studies of information systems and technologies for decisionmaking on energy supply management depending on the capacities required for the economy are carried out in this article. It was revealed that the input parameters of the control object are of a random nature, so there is a need to study them. The use of statistical processing and data analysis methods made it possible to determine the probabilistic characteristics of wind speed and electrical loads (on the example of the Kirovograd region). The average wind speed is almost 5 m/s, the maximum average daily power of wind turbine WE-10000 is about 4 kW in winter, almost 5.3 kW in spring, and about 4.6 kW in summer and autumn. The study of energy needs showed that category 1 consumes the most energy. Only in the spring, the energy needs of category 2 are about 10% higher than those of category 1. In spring, summer and autumn, the energy needs of the farm can be met by wind energy. In winter, a wind turbine can meet the energy needs of category 1 by about 50%, and therefore a power plant is required. The developed information management system of electricity supply carries out relevant measurements to collect statistical data and generate graphs of average daily energy loads of the farm. Taking into account the obtained indicators of the capacities of the wind turbine and the power plant with an internal combustion engine, the system applies the developed algorithm for the efficient distribution of the received energy, in accordance with the energy needs of the farm.