Multi-objective Optimization of Blast Furnace Cooling Stave Based on Thermal Resistance and Cost Analysis
The thermal resistance model of blast furnace cooling stave is established.The thermal resistance of the cooling stave includes the entransy dissipation resistance and the convective thermal resistance,which characterize its thermal conductivity and the convective heat transfer performance of the heat exchange surface respectively.The costs in the operation of cooling stave are analyzed,including the cost of cooling stave material,the cost of running water consumption,the cost of running energy consumption and the additional benefits generated when the thickness of cool-ing stave is reduced.Taking the thermal resistance and cost of the cooling stave as the objective function,and the structural parameters of the cooling stave as the decision variables,the cooling stave was multi-objective optimized us-ing genetic algorithm,and the Pareto optimal solution set was obtained.Compared with the original cooling stave,the cost of the optimized cooling stave can be reduced by 79.9%with the same heat transfer performance,or the thermal resistance can be reduced by 27.3%with the same cooling cost.
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