Ways Of Increasing The Energy Efficiency Of Electric Arc Furnaces

Timoshenko, S.N.; Stovpchenko, Ganna; Kostetsky, Yu.V.; Gubinsky, M.V.

doi:10.15407/sem2019.01.06

Cited by 2 publications

(2 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The main advantage of electric steelmaking technologies, which stimulates their accelerated spread, is the higher accuracy of implementing optimal temperature regimes and physico-chemical transformations in the charge and melt [3,4].…”

Section: Introductionmentioning

confidence: 99%

“…Energies 2023, 16, 3451 2 of 20 Some organizational and technical measures are used to reduce the specific costs of electricity, including pre-heating the charge with flue gases (Consteel process), increasing the specific installed capacity of furnace transformers to 1.0-1.2 MW/t (intensification of the electric regime at the stage of melting the charge), increasing the number of oxygen lances and the rate of oxygen supply, increasing the proportion of liquid iron, increasing the use of the latest "furnace-ladle" melting technology, etc. However, most of these or other measures require significant financial costs [3][4][5].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Study and Analysis of Dynamics and Energy Efficiency of Arc Steelmaking Furnace Electrical Mode with a Fuzzy Control Algorithm

2023

View full text Add to dashboard Cite

A review of the control laws (models) of alternating current arc steelmaking furnaces’ (ASF) electric modes (EM) is carried out. A phase-symmetric three-component additive fuzzy model of electrode movement control signal formation is proposed. A synthesis of fuzzy inference systems based on the Sugeno model for the implementation of the proposed additive three-component fuzzy law of arc length control is performed. A structural computer Simulink model of the EM control system in a high-power arc steelmaking furnace of the DSP-200 type with an ARDM-T-12 arcs power regulator is created. Computer research into control dynamics indicators under the influence of deterministic perturbations and also integral indicators of energy efficiency when handling stationary random arc lengths fluctuations (corresponding to various technological stages of melting) are carried out. A comparative analysis of dynamics indicators, energy efficiency, and electromagnetic compatibility of the proposed fuzzy and known differential model of ASF arc lengths control is carried out. The implementation of the proposed fuzzy three-component additive control model in comparison with the existing deterministic differential one reduces the dispersion of voltages, currents, and arcs powers, reduces electrical losses in an arc furnace high-power network by 10–22% and increases the average arc power by 0.9–1.5%.

show abstract

Section: Introductionmentioning

confidence: 99%