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Optimization Simulation, Using Steel Plant Off-Gas for Power Generation: A Life-Cycle Cost Analysis Approach

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  • Yang-Kon Kim

    (Graduate Institute of Ferrous Technology (GIFT) and Graduate School of Engineering Mastership (GEM), Pohang University of Science and Technology (POSTECH), 77 Cheongam-Ro, Nam-Ku, Pohang 37673, Korea)

  • Eul-Bum Lee

    (Graduate Institute of Ferrous Technology (GIFT) and Graduate School of Engineering Mastership (GEM), Pohang University of Science and Technology (POSTECH), 77 Cheongam-Ro, Nam-Ku, Pohang 37673, Korea)

Abstract

This research aims to contribute to the international desires of greenhouse gas mitigation through a study on the optimization of 100 MW off-gas power plants’ subcritical steam cycle, operating in conjunction with steel plants. The performance and fiscal efficiency of the off-gas power plants are based on data collected from Krakatau Steel plants in Indonesia, simulated and analyzed through thermodynamic simulation model (PEPSE). The three scenarios simulated for comparison are: (1) 100 MW off-gas power plant as-is operation, (2) 100 MW off-gas power plant optimized, and (3) 100 MW cogeneration off-gas power plant. The optimization of the off-gas power plant and use of steam extraction was found to have a 45 M and 26 M USD savings in comparison to the base power plant, assuming a 5.5% discount rate and 400 Million USD capital expenditure. The theoretical findings are of use to academia and industry in providing proof of potential cost-savings of integrating off-gas into existing power generation operations.

Suggested Citation

  • Yang-Kon Kim & Eul-Bum Lee, 2018. "Optimization Simulation, Using Steel Plant Off-Gas for Power Generation: A Life-Cycle Cost Analysis Approach," Energies, MDPI, vol. 11(11), pages 1-17, October.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:11:p:2884-:d:177903
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    References listed on IDEAS

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    1. Kannan, R. & Leong, K.C. & Osman, R. & Ho, H.K., 2007. "Life cycle energy, emissions and cost inventory of power generation technologies in Singapore," Renewable and Sustainable Energy Reviews, Elsevier, vol. 11(4), pages 702-715, May.
    2. Nian, Victor & Chou, S.K. & Su, Bin & Bauly, John, 2014. "Life cycle analysis on carbon emissions from power generation – The nuclear energy example," Applied Energy, Elsevier, vol. 118(C), pages 68-82.
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    Cited by:

    1. Dong-Jin Cho & Eul-Bum Lee & Jae-Min Cho & Douglas Alleman, 2019. "Reducing the Superheating of Extraction Stream on Advanced-Ultra Super Critical Power Plants with Regenerative Turbines in South Korea: An Economic Analysis," Energies, MDPI, vol. 12(9), pages 1-22, May.
    2. Michael Bampaou & Kyriakos Panopoulos & Panos Seferlis & Spyridon Voutetakis & Ismael Matino & Alice Petrucciani & Antonella Zaccara & Valentina Colla & Stefano Dettori & Teresa Annunziata Branca & Vi, 2021. "Integration of Renewable Hydrogen Production in Steelworks Off-Gases for the Synthesis of Methanol and Methane," Energies, MDPI, vol. 14(10), pages 1-24, May.
    3. Hee-Kwan Shin & Jae-Min Cho & Eul-Bum Lee, 2019. "Electrical Power Characteristics and Economic Analysis of Distributed Generation System Using Renewable Energy: Applied to Iron and Steel Plants," Sustainability, MDPI, vol. 11(22), pages 1-27, November.

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