20.500.12556/RUL-132347 Comprehensive electric arc furnace electric energy consumption modeling a pilot study 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. steelmaking electric arc furnaces consumption electric energy melting refining tapping modeling linear regression genetic programming izdelava jekla električne obločne peči poraba električna energija modeliranje linearna regeresija genetsko programiranje true false true Angleški jezik Slovenski jezik Članek v reviji 2021-10-22 08:51:55 2021-10-22 08:51:58 2023-05-04 14:21:09 0000-00-00 00:00:00 2019 0 0 13 str. iss. 11, art. 2142 Vol. 12 Jun. 2019 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 669.146:621.7(045) 1996-1073 10.3390/en12112142 16647451 RAZ_Kovacic_Miha_2019.pdf RAZ_Kovacic_Miha_2019.pdf 1 5E1BDBD54DF43EE5A6ACBA3981ACA1F8 45d4232f43863c2838a4b790ade554b9173c25bd99e351762bffad3d2f0ca825 bdcd55cc-3304-11ec-abdb-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=149962 https://www.mdpi.com/1996-1073/12/11/2142 1 8934375d-3304-11ec-abdb-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=149961 Fakulteta za strojništvo 0 0 0