AOD (argon oxygen decarburization) furnace energy consumption optimization method based on energy carrier
An optimization method and energy carrier technology, applied in the field of data processing, can solve problems such as the inability to coordinate process parameters, and achieve the effect of reducing energy consumption
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Embodiment 1
[0228] For the AOD furnace of a steel factory, the steel grade SUS304 is selected, and the energy consumption is optimized by applying the above method. The comparison between the current energy consumption value and the optimized energy consumption value is as follows Figure 4 shown.
[0229] Figure 4 The lower line in the center represents the optimized energy value of the AOD furnace. The optimized energy value of the steel SUS304 is 361kgce / t, and the upper line represents the average energy value actually produced by the AOD furnace, which is 504kgce / tt, which reduces energy consumption by 28.4% on average. , the calculation results show that the emergy optimization calculation with genetic algorithm achieves better results.
[0230] The optimized ingredients are shown in the table below. The energy consumption optimization model achieves the invention goal of reducing energy consumption by coordinating the ingredients of electric furnace stainless steel mother liquor,...
Embodiment 2
[0238] For the AOD furnace of a steel plant, the steel type BN1D is selected, and the above method is used to optimize energy consumption. The comparison between the current energy consumption value and the optimized energy consumption value is as follows Figure 5 shown.
[0239] Figure 5 The lower line in the center represents the optimized energy value of the AOD furnace. The optimized energy value of the steel type BN1D is 341kgce / t, and the upper line represents the average energy value actually produced by the AOD furnace, which is 500kgce / t, and the average energy consumption is reduced by 31.8 %.
[0240] All the other are with embodiment 1.
[0241] AOD Furnace Steel Type BN1D Optimized Batching and Corresponding Binary Code
[0242] Ingredients name
Steel grade SUS304 optimized ingredients / kg
Optimize ingredients corresponding to binary code
63038.5
11100011110011011001
38428.5
1...
Embodiment 3
[0247] For the AOD furnace of a steel factory, the steel grade SUH409L was selected, and the energy consumption was optimized by applying the above method. The comparison between the current energy consumption value and the optimized energy consumption value is as follows Figure 6 shown.
[0248] Figure 6 The lower line in the center represents the optimized energy value of the AOD furnace. The optimized energy value of the steel SUH409L is 406kgce / t, and the upper line represents the average energy value actually produced by the AOD furnace, which is 495kgce / t, and the average energy consumption is reduced by 220.0 %.
[0249] All the other are with embodiment 1.
[0250] AOD Furnace Steel Type SUH409L Optimal Batching and Corresponding Binary Code
[0251] Ingredients name
Steel grade SUS304 optimized ingredients / kg
Optimize ingredients corresponding to binary code
105746.2
00101100000111101111
raw material 2
...
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