Multiobjective optimization of top gas recycling conditions in the blast furnace by genetic algorithms

Tamoghna Mitra, Mikko Helle, Frank Pettersson, Henrik Saxén, Nirupam Chakraborti

    Forskningsoutput: TidskriftsbidragArtikelVetenskapligPeer review

    35 Citeringar (Scopus)

    Sammanfattning

    Limited natural resources and a growing concern about the potential effect of carbon dioxide emissions on the world's climate have triggered a search of ways to suppressing the emissions of CO2 in primary steelmaking. A possible future solution is to strip CO2 from the blast furnace top gas, feeding back the gas to the tuyere level. The work reported in this article explores states of an integrated steel plant that arise if both production costs and emissions are simultaneously minimized. This multiobjective problem is tackled by genetic algorithms using a predator-prey strategy for constructing the Pareto-frontier of nondominating solutions. Four alternative ways of treating the top gas recycling problem are explored, and the resulting solutions are analyzed with respect to the two objectives and to the internal states of the plant they correspond to. Conclusions are drawn concerning the solutions in terms of technical feasibility and complexity.
    OriginalspråkOdefinierat/okänt
    Sidor (från-till)475–480
    TidskriftMaterials and Manufacturing Processes
    Volym26
    Utgåva3
    DOI
    StatusPublicerad - 2011
    MoE-publikationstypA1 Tidskriftsartikel-refererad

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