The Increase of Power Efficiency of Underground Coal Mining by the Forecasting of Electric Power Consumption

Abstract

Abstract.In article the analysis of electric power consumption and problems of power saving on coal mines are considered. Nowadays the share of conditionally constant costs of electric power for providing safe working conditions underground on coal mines is big. Therefore, the power efficiency of underground coal mining depends on electric power expense of the main technological processes and size of conditionally constant costs. The important direction of increase of power efficiency of coal mining is forecasting of a power consumption and monitoring of electric power expense. One of the main approaches to reducing of electric power costs is increase in accuracy of the enterprise demand in the wholesale electric power market. It is offered to use artificial neural networks to forecasting of day-ahead power consumption with hourly breakdown. At the same time use of neural and indistinct (hybrid) systems on the principles of fuzzy logic, neural networks and genetic algorithms is more preferable. This model allows to do exact short-term forecasts at a small array of input data. A set of the input parameters characterizing mining-and-geological and technological features of the enterprise is offered.

Energy efficiency in the South African mining sector: A case study at a coal mine in Mpumalanga

“…Electricity is the primary source of energy for underground operations at the mine (Figure 12), accounting for an average of 75% of total energy use (diesel accounts for 20%, and oil 5% .of the overall annual energy consumption). Similarly, McGinley et al (2015) report a significant proportion of energy is provided by electricity in underground mining, and Efremenko, Belyaevsky, and Skrebneva (2017) indicate that in most underground coal mines, electricity consumption accounts for more than 50% of the overall energy use, mainly for ventilation, powering mining machinery, and conveying coal. Much more of the monthly variance in energy consumption at the mine is accounted for by ROM (R2 = 0.5865) than by the amount of final product (R2 = 0.2808).…”

Financial and accounting support of marketing strategies for energy efficiency of coal mines

“…2, a. Eight mines with wide range of ranking (1,(5)(6)(7)(11)(12)(13)(14) have the potential values up to 1.2. Four mines with 2-4, and 9 rankings are within the interval from 1.2 up to 1.4; the interval from 1.4 up to 1.6 includes two mines with 8 and 10 rankings.…”

“…A team of authors [4] puts emphasis on the use of modern IT integrated into the automatic system of industrial process control at coal mines, which records exact electric energy consumption by each unit of machinery, equipment, power plants and so on. Russian scientists consider monitoring of electric energy use and prognosis of its consumption on the basis of artifi cial neural networks, performing information and computational tasks, to be an important trend in the increase in energy-effi cient coal mining [5].…”

Features of Reactive Power Compensation in Electrical Networks of Coal Open Pit Mines

“…When synchronous motor operates in under-excitation mode it consumes reactive power from the electrical network. When synchronous motor is switched to overexcitation mode, it begins to work not only as motor, but also as reactive power source, that is, it generates reactive power in the electrical network [3,4]. The magnitude of the reactive power generated by the synchronous motor depends on its active power load, the voltage at its terminals and the technical parameters of the motors.…”