This article is devoted to the analysis of the geographical structure of the world energy industry. The article analyzes trends in global energy production and consumption from 1990 to 2018. Statistical indicators of energy production and consumption are also considered. The study notes that the leading countries in GNP production are the largest energy consumers in the world. The authors consider the issues of distribution of production and consumption of energy resources across the world, changes in the relationship between the leaders in primary energy production and energy consumption. Electricity consumption and production by regions of the world are considered, and the share of global energy intensity of energy by fuel type is determined. In addition, the article analyzes the world consumption of natural gas and coal, as well as its extraction. Changes in world demand for petroleum products and their consumption are considered.

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This article summarizes modern methods of evaluating the marketing activities of an industrial enterprise and on this basis, identifies the possibilities of using the concept of a balanced scorecard for a comprehensive assessment and its results. These elements serve as the basis for drawing up a model for assessing the management activities of an industrial enterprise. In the study of the relationship between the prospects of the MBSC and the prospects of the key indicators of achievement, it was determined that the marketing mix should include four marketing sub-mixes (product mix, contract mix, communication mix, distribution mix). Each sub-mix is a key indicators of achievement perspective. As a result of these studies, on the basis of prospects, their optimal ratio was found to solve a specific tactical or strategic task of developing the key indicators of achievement. This topic is relevant, since marketing is the most difficult to manage area of the enterprise and therefore it is necessary to use various models and methods for assessing the effectiveness of various factors that help identify diverse problems and coordinate movement towards goals.

Today, the urgent tasks of the heat and power industry of the Russian Federation, as many other countries, are the problem of exceeding the service life of high-voltage electrical equipment of transformer and traction substations. This state of affairs leads to adverse consequences in the electric power system, which directly reduces the reliability of power supply to consumers, as well as to increase operating costs and technical losses of electric energy. Under the maximum load of transformers that have fulfilled the standard service life, constant monitoring is required to develop recommendations on the operation and operation modes of power transformers. The article considers the issue of calculating the reliability of power oil transformers. According to the collected statistical information, the most damaged parts of power transformers are identified. The main indicators that characterize the level and condition of the power transformer windings are shown. Using quantifiers of the distribution of the Chi-square, the upper and lower limits of the time between failure of the windings of power transformers for different periods of operation are determined, confidence limits with probability α = 0.9, 0.95, 0.99 are determined. According to the obtained data, the distribution of the Chi-square received a failure flow of the main element - the windings of power transformers with different periods of operation. There is a linear dependence of the decrease in reliability of the power transformers depending on the period of operation.

The article presents a simulation-dynamic model of the control process of the lighting system of industrial premises of large areas. The model is based on the system dynamics method, which is widely used in many areas. The presented model of the lighting system includes three levels, two streams, and other variables that are used in the process of its operation. The input interface allows you to enter data into the model using the PowerSim Studio program. This work consists of several elements: the model itself and three graphs that show the results of three experiments with different input data. The results are presented in a table with output data, which is reflected in the program in the output interface and indicates that with a large number of lamps and with the highest values of possible breakdowns, the number of lamps that will stop burning increases. The model is designed for operational management of the system and ensuring appropriate lighting of premises, as well as maintaining inventory and the desired quality of lighting of production premises of large areas.