The question of methodical approach to the distribution of total technological energy consumption between separate kinds of outputs of multi-product manufacture is considered. Such ferrous metallurgy industries include blast furnace process, oxygen, energy, and coke production. The theoretical basis of proposed methodological provisions is Hess's law on thermochemical reactions and its consequences. For manufactures where the products correspond to the types of energy resources and have calorific value, the distribution of energy consumption is carried out according to the weighty volumes of types of products and their heat of combustion (for example, coke production). For industries that have multi-product manufacture of non-combustible products, the distribution of energy consumption between products is based on the weighty volumes of products and their heat capacity (for example, blast furnace iron production). In accordance with the proposed methodological provisions, we present calculation formulas for determining the distribution of total technological energy consumption for separate types of coke and blast furnace production. The results calculations of energy consumption are presented separately for coke, coke-oven gas, and chemical products of coke manufacture as well as for cast iron and furnace slag for blast furnace production. Calculations show a significant reduction of the energy consumption of coke, with regard for the distribution of energy consumption for individual outputs of coke production (by 27.2%) and pig iron in blast furnace production (a decrease in 31.8%.). The proposed methodological provisions for the distribution of total technological energy consumption between separate types of outputs of multi-product industries can be used in such manufactures of oil refining and chemical industry, in the processing industry, in particular, in the production of dairy products, etc. Keywords: energy consumption, multi-product manufacture, coke, coke-oven gas, cast iron, slag, heat of combustion
Algorithms and software for optimal management of raw materials, fuel and energy resources in blast furnace production
