2010
DOI: 10.2355/isijinternational.50.931
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Optimization of Top Gas Recycling Conditions under High Oxygen Enrichment in the Blast Furnace

Abstract: Primary steelmaking is among the most energy intensive industrial processes in the world and being mainly coal-based it substantially contributes to the global fossil CO 2 emissions. It is therefore important to study potential ways of suppressing the use of fossil reductants and the rate of emissions in the process. This paper analyzes by simulation and optimization the concept of recycling CO 2 -stripped top gas in the blast furnace under massive oxygen enrichment, and its impact on the production economy an… Show more

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Cited by 50 publications
(39 citation statements)
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“…The fact that a mixture of air and oxygen was allowed enabled different recycling degrees of the top gas, still keeping the BF operation within the imposed constraints. 11,14) The BF model was run extensively under different inputs uniformly distributed within their admissible regions (Table 1), and the set of resulting feasible solutions was used to construct a linearized model with seven inputs and fourteen outputs (Table 1) ( 1) where the inputs are the volume flow rate of recycled top gas, V rg , the total volume flow rate of blast (i.e., pure oxygen with possible air additions), V bl , and oxygen content, Y O 2 ,bl , the specific oil rate, m oil , the temperature of the injected tuyere gases, T bl , and the specific rates of pellets, m pel , and limestone, m lime,BF . The linear fit was, in general, very good, with R 2 values ranging between 94 % and 100 % for the fourteen variables approximated, with most of the values close to 100 %.…”
Section: Process Models and Co 2 Emissionsmentioning
confidence: 99%
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“…The fact that a mixture of air and oxygen was allowed enabled different recycling degrees of the top gas, still keeping the BF operation within the imposed constraints. 11,14) The BF model was run extensively under different inputs uniformly distributed within their admissible regions (Table 1), and the set of resulting feasible solutions was used to construct a linearized model with seven inputs and fourteen outputs (Table 1) ( 1) where the inputs are the volume flow rate of recycled top gas, V rg , the total volume flow rate of blast (i.e., pure oxygen with possible air additions), V bl , and oxygen content, Y O 2 ,bl , the specific oil rate, m oil , the temperature of the injected tuyere gases, T bl , and the specific rates of pellets, m pel , and limestone, m lime,BF . The linear fit was, in general, very good, with R 2 values ranging between 94 % and 100 % for the fourteen variables approximated, with most of the values close to 100 %.…”
Section: Process Models and Co 2 Emissionsmentioning
confidence: 99%
“…(4) (5) by contrast to the intuitive approach of including the emission costs in the first and single objective. 14) An advantage of the multi-objective approach is that one need not take a stand on the (future) emission price, but, instead, can consider both goals to be important, leaving it up to the investigator to select a suitable compromise from the solutions evolved. Since these objectives are likely to be conflicting, the solutions that are non-dominated can be represented as a 'Pareto-optimal frontier'.…”
Section: Formulation Of the Multi-objective Optimizationmentioning
confidence: 99%
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“…New ironmaking technologies 1,2) including HISmelt, FINEX and blast furnaces (BF) with top gas recycling, [3][4][5][6] are likely to play a role in the transition to low-emission concepts, but these technologies are either not mature or do not yet show lower energy demand than (large traditionally operated) blast furnaces. Therefore, it is still important to raise the energy efficiency in existing processes and to investigate options to replace coal, oil and natural gas by more environmental-friendly reductants.…”
Section: Introductionmentioning
confidence: 99%