通过使用 CFD 和经验建模相结合优化工艺参数来减少电弧炉的 CO2 排放.pdf

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1、CLASSIFICATION C1-INTERNALReduce CO2e by optimizing process parameters in EAF using combined CFDand Empirical Modeling Reduce CO2e by optimizing process parameters in EAF using combined CFD and Empirical Modeling Ayman Fathy,Mohamed Elkomy,Rafat Farahat Al EZZ Flat Steel Kilo 44 Ain Sokhna,Egypt.The

2、 CO2 Emission is the corner stone in the greenhouse gas emissions GHG that contribute to global warming.8%of the total CO2e emission in the world comes from steel industry.The steel is produced by two main routes Blust Furnace(BF)with Basic Oxygen furnace BOF and Electric Arc Furnace(EAF).30%of the

3、steel produced in the world is produced through the EAF production route.The study aims at the reduction of CO2e emissions during steelmaking process by EAF.This can be achieved by reducing the electrical energy consumption,the indirect source of CO2e,minimizing the process variation;mainly during E

4、AF refining stage.This goal can be achieved by the establishment of an empirical model based on real measurements and compared to thermodynamic predictions.Moreover,the steel melt fluid flow fluid dynamic is simulated using computational fluid dynamic“CFD”model to avoid excess electrical energy cons

5、umption.The last stage after complete melting in EAF before tapping is the refining process.It is for removing impurities(such as phosphorus)and adjusting carbon levels.This often done by injecting oxygen,carbon and adding flux(e.g lime)to from slag that absorbs impurities.The goal is to produce cle

6、an,consistent steel ready for further processing.So,adjusting O,C and slag conditions are effective in the process.The main controlling parameter for steel melt yield is the balance between C and O in the bath.Nevertheless,an optimum slag height ensures efficient energy distribution,stable arc behav