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Purchased Power Dispatching Potential Evaluation of Steel Plant With Joint Multienergy System and Production Process Optimization
38
Citations
11
References
2022
Year
EngineeringPower EngineeringIndustrial EngineeringEnergy EfficiencyEnergy ConversionAir SeparationMulti-energy SystemProduction Process OptimizationJoint Multienergy SystemSolid FoundationSteel PlantEnergy AnalysisEnergy OptimizationSystems EngineeringElectrical EngineeringPillar IndustryPower System OptimizationEnergy OperationSmart GridEnergy Management
Iron and steel industry is the pillar industry of China, providing a solid foundation for China's industrialization. While steel plants are energy intensive mainly consuming coal and electricity, and their power consumption tends to be higher proportional in the near future, due to global confidence of peak and neutrality carbon dioxide emission, electrical substitution, and ongoing energy use right transaction. Thus, these plants will have larger potential to participate in the friendly interaction between power supply and demand. The adjustable potential of purchased power load exists in two aspects: one is the controllable resources of inner energy supply and use system, and the other is the energy schedule regulation accompanied by production process adjustment, which is rarely considered in current energy management research of steel plants. Based on the flexibility analysis of production process control without affecting productivity, the adjustment model of steel-rolling lines, air separation and electric arc furnaces on iron-making line is formulated here, as well as the corresponding energy consumed in these processes. Combined with the optimization of multienergy coupling system and production processes, a joint evaluation model of maximum dispatching potential and duration is proposed and solved by mixed-integer linear programming solver. Simulation result shows the feasibility of the proposed dispatching potential evaluation method and the effectiveness to take the production process adjustment with energy-systemscheduling.
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