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Energy efficiency and the influence of gas burners to the energy related carbon dioxide emissions of electric arc furnaces in steel industry

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  • Kirschen, Marcus
  • Risonarta, Victor
  • Pfeifer, Herbert

Abstract

Determining the complete energy balance of an electric arc furnace (EAF) provides an appropriate method to examine energy efficiency and identify energy saving potentials. However, the EAF energy balance is complex due to the combined input of electrical energy and chemical energy resulting from natural gas (NG) combustion and oxidation reactions in the steel melt. In addition, furnace off-gas measurements and slag analysis are necessary to reliably determine energy sinks. In this paper 70 energy balances and energy efficiencies from multiple EAFs are presented, including data calculated from plant measurements and compiled from the literature. Potential errors that can be incorporated in these calculations are also highlighted. The total energy requirement of these modern EAFs analysed ranged from 510 to 880kWh/t, with energy efficiency values (η=ΔHSteel/ETotal) of between 40% and 75%. Furthermore, the focus was placed on the total energy related CO2 emissions of EAF processes comprising NG combustion and electrical energy input. By assessing multiple EAF energy balances, a significant correlation between the total energy requirement and energy related specific CO2 emissions was not evident. Whilst the specific consumption of NG in the EAF only had a minor impact on the EAF energy efficiency, it decreased the specific electrical energy requirement and increased EAF productivity where transformer power was restricted. The analysis also demonstrated that complementing and substituting electrical energy with NG was beneficial in reducing the total energy related CO2 emissions when a certain level of substitution efficiency was achieved. Therefore, the appropriate use of NG burners in modern EAFs can result in an increased EAF energy intensity, whilst the total energy related CO2 emissions remain constant or are even decreased.

Suggested Citation

  • Kirschen, Marcus & Risonarta, Victor & Pfeifer, Herbert, 2009. "Energy efficiency and the influence of gas burners to the energy related carbon dioxide emissions of electric arc furnaces in steel industry," Energy, Elsevier, vol. 34(9), pages 1065-1072.
  • Handle: RePEc:eee:energy:v:34:y:2009:i:9:p:1065-1072
    DOI: 10.1016/j.energy.2009.04.015
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    1. Costa, Márcio Macedo & Schaeffer, Roberto & Worrell, Ernst, 2001. "Exergy accounting of energy and materials flows in steel production systems," Energy, Elsevier, vol. 26(4), pages 363-384.
    2. Ozawa, Leticia & Sheinbaum, Claudia & Martin, Nathan & Worrell, Ernst & Price, Lynn, 2002. "Energy use and CO2 emissions in Mexico's iron and steel industry," Energy, Elsevier, vol. 27(3), pages 225-239.
    3. Kato, Takeyoshi & Kubota, Mitsuhiro & Kobayashi, Noriyuki & Suzuoki, Yasuo, 2005. "Effective utilization of by-product oxygen from electrolysis hydrogen production," Energy, Elsevier, vol. 30(14), pages 2580-2595.
    4. Price, L & Sinton, J & Worrell, E & Phylipsen, D & Xiulian, H & Ji, L, 2002. "Energy use and carbon dioxide emissions from steel production in China," Energy, Elsevier, vol. 27(5), pages 429-446.
    5. Kim, Yeonbae & Worrell, Ernst, 2002. "International comparison of CO2 emission trends in the iron and steel industry," Energy Policy, Elsevier, vol. 30(10), pages 827-838, August.
    6. Worrell, Ernst & Price, Lynn & Martin, Nathan, 2001. "Energy efficiency and carbon dioxide emissions reduction opportunities in the US iron and steel sector," Energy, Elsevier, vol. 26(5), pages 513-536.
    Full references (including those not matched with items on IDEAS)

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