Development of an Algorithm for Evaluating the Dominant Factors that have the Greatest Impact on the Energy Intensity of Products

Abstract

The article deals with the assessment of the dominant factors that have the greatest impact on the energy intensity of products. A method is proposed that makes it possible to single out the most significant factors from all the variety of factors affecting energy indicators and to give an appropriate assessment to each of them. Methods and mathematical models are proposed that can be used for current and medium-term forecasting of electricity consumption. The analysis is carried out and the energy characteristics of production units are developed, depending on the reduced and total volume of manufactured products. Using linear programming methods, the energy intensity coefficients of the entire range of products manufactured by individual production units are obtained.

Loading mode of a ferromagnetic current stabilizer

“…Let us assume that the magnetization curve of a ferromagnetic element is approximated by a power function, [8][9][10][11][12][13][14]…”

Energy saving in industry

“…Each cycle has its own power consumption. Within each cycle, almost all power-consuming units operate auxiliary mechanisms with their own mode of operation and power consumption (average value) [25][26][27][28][29][30][31].…”

Study of optimality of existing 10 kV overhead wire standard section scale

“…In the practice of design and scientific and technical research, it is accepted that two compared options are considered economically equivalent if their indicators differ by no more than 5%. This condition is the basis of one of the approaches to determining the optimal parametric series [7], which consists in the fact that the deviation of the actual costs when using the section from the standard scale from the optimal ones is 5% [14][15][16][17][18][19][20][21][22][23][24][25]:…”

“…, (13) The values of and are determined by substituting in (10) the boundary values of the load according to expression (6) and the values of economic sections according to (13). Under appropriate transformations, we obtain [26][27][28][29]: (14) , Taking into account expression ( 9) and ( 14), we find and , (15) The value of the relative deviation of costs when deviating from the economic section is determined by the ratio of adjacent standard sections and the ratio of the constant component of the cost of the line , which does not depend on the section and the coefficient of appreciation k.…”