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Steel plant is a complex system that is complicated and combined each other. Because of the characteristics of the process, steel plant uses a reducing agent that contains carbon and a lot of energy. So various attemptsto save the energy and reduce carbon dioxide are in progress. However, to build a strategy of carbon reducing and energy saving, there is a need to observe the total effects of technology on plants. To do this, a mathematical model of plants can be used for optimization.Electric arc furnace (EAF) is a process making liquid steel. Unlike blast furnace (BF)-basic oxygen furnace (BOF) process using iron ore as Fe containing material, EAF makes liquid steel using scrap, hot metal, direct reduced iron, pig iron and so on. EAF steelmaking is an energy-intense process which has a lot of potential to save energy. Also EAF sometimes uses additional carbon-based fuel and emits some carbon dioxide. A mathematical model based on a material flow and energy flow is developed to simulate the EAF steelmaking and optimize the carbon emission, energy usage and total cost. This optimization is a mixed integer linear program and solved by a commercial optimization tool, GAMS. Sensitivity analysis for cost of electricityand natural gas is added to predict optimization results that change with external variables. And carbon tax concept is also added as cost variable. Using this mathematical model, case studies are adapted and analyze optimization results. The results of this study give an optimized strategy of steelmaking process with maintained steel grade and can be used efficiently in the optimization of total steelmaking process.
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