EAF carrying energy optimization based on the genetic algorithm

A carrying energy optimization model of an electric arc furnace(EAF) was proposed by introducing an energy carrier and considering the factors of EAF charging structures,oxygen supply,carbon addition and power supply.Due to the complexity of its constraints,the model could not be solved by linear programming.In this paper the model was solved by a genetic algorithm.The energy values of BH1H,BHDDQ and SUS304 steels were calculated by the model.The results showed that under the premise of ensuring the indicators of EAF molten steel such as chemical composition,temperature and slag basicity to meet the requirements,the energy values of the molten steel in each furnace were reduced by 22.8%,21.4% and 23.6% for BH1H,BHDDQ and SUS304 steels,respectively.