Analysis and modeling of energy flow network for steel manufacturing process based on directed network
With the progress of energy-saving work,the difficulty of energy-saving of steel industry in China is in-creasing,and the potential is decreasing under traditional technological systems in steel manufacturing processes.In the new period of high-quality development on the constraint of the"dual control"of energy consumption and carbon emissions,the steel industry is entering a new stage with efficient energy conversion,intelligent energy-flow dis-patching,and integrated matching optimization.Networked operation and intelligent dispatching of energy flow are important means to explore greater potential for energy-saving.Modeling for energy flow network is the foundation for intelligent dispatching and integrated optimization of energy system.Petri Net,as a formal model for describing net systems,is a modeling tool for describing the relationships between units and the resource changes in directed net systems.Both Places and Transitions have into two types:continuous and discrete,to represent continuous var-iables and discrete events respectively,and thus form a hybrid Petri Net for modeling hybrid system.Based on met-allurgical process engineering,the essential features of the steel manufacturing process and its energy flow network system were analyzed,and the system structure and dynamic characteristics of the energy flow network for steel manufacturing process were analyzed as a"directed network"from"system"perspective.Based on the hybrid Petri Net modeling method,an energy flow network model for steel manufacturing process was developed by formally ab-stracting.This model can qualitatively and quantitatively describe the relationships between elements of the energy flow network system,thus visually and realistically describing the system structure and dynamic characteristics.Taking a typical steel plant as an example,the Petri Net model for the energy conversion process was established and simulated by Matlab software with a 1 h step based on production performance data from a sample day.The simulation results show that the model matches well with the actual system.This method can provide technical sup-port for the energy evaluation,dynamic dispatching and optimization of the energy flow network system for steel manufacturing process.
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