Comprehensive electric arc furnace electric energy consumption modeling : a pilot study

Kovačič, Miha (avtor), Stopar, Klemen (avtor), Vertnik, Robert (avtor), Šarler, Božidar (avtor)

The electric arc furnace operation at the Štore Steel company, one of the largest flat spring steel producers in Europe, consists of charging, melting, refining the chemical composition, adjusting the temperature, and tapping. Knowledge of the consumed energy within the individual electric arc operation steps is essential. The electric energy consumption during melting and refining was analyzed including the maintenance and technological delays. In modeling the electric energy consumption, 25 parameters were considered during melting (e.g., coke, dolomite, quantity), refining and tapping (e.g., injected oxygen, carbon, and limestone quantity) that were selected from 3248 consecutively produced batches in 2018. Two approaches were employed for the data analysis: linear regression and genetic programming model. The linear regression model was used in the first randomly generated generations of each of the 100 independent developed civilizations. More accurate models were subsequently obtained during the simulated evolution. The average relative deviation of the linear regression and the genetic programming model predictions from the experimental data were 3.60% and 3.31%, respectively. Both models were subsequently validated by using data from 278 batches produced in 2019, where the maintenance and the technological delays were below 20 minutes per batch. It was possible, based on the linear regression and the genetically developed model, to calculate that the average electric energy consumption could be reduced by up to 1.04% and 1.16%, respectively, in the case of maintenance and other technological delays.

• Jezik: Angleški jezik
• Ključne besede: steelmaking, electric arc furnaces, consumption, electric energy, melting, refining, tapping, modeling, linear regression, genetic programming
• Vrsta gradiva: Članek v reviji
• Tipologija: 1.01 - Izvirni znanstveni članek
• Organizacija: FS - Fakulteta za strojništvo
• Status publikacije: Objavljeno
• Različica publikacije: Objavljena publikacija
• Leto izida: 2019
• Št. strani: 13 str.
• Številčenje: Vol. 12, iss. 11, art. 2142
• PID: 20.500.12556/RUL-132347
• UDK: 669.146:621.7(045)
• ISSN pri članku: 1996-1073
• DOI: 10.3390/en12112142
• COBISS.SI-ID: 16647451
• Datum objave v RUL: 22.10.2021

Gradivo je del revije

• Naslov: Energies
• Skrajšan naslov: Energies
• Založnik: Molecular Diversity Preservation International
• ISSN: 1996-1073
• COBISS.SI-ID: 518046745

Licence

• Licenca: CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
• Povezava: http://creativecommons.org/licenses/by/4.0/deed.sl
• Opis: To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.
• Začetek licenciranja: 04.06.2019

Sekundarni jezik

• Jezik: Slovenski jezik
• Ključne besede: izdelava jekla, električne obločne peči, poraba, električna energija, modeliranje, linearna regeresija, genetsko programiranje