The effect of the traditional energy saving mode on process engineering is decreasing, so the idea of system energy saving is developing vigorously. This paper summarizes the existing studies on energy saving from three aspects—energy saving technology, energy management, comprehensive evaluation or analysis—and clearly finds that related studies on energy saving have been gradually promoted to promote the development of system energy saving in the whole process engineering process. Among them, the calculation of energy saving brought by energy saving technology is a difficult point in the research. This paper proposes a novel calculation method of energy saving by taking the iron and steel production process (ISPP) as an example. According to the actual data provided by a steel plant in China, the calculation method is validated effectively.
The method of structural optimization of the steel manufacturing process is described, and the development logic of layer‐by‐layer progression from the analysis‐optimization of the set of procedures’ functions, the analysis‐optimization of the set of procedures’ relations, to the reconstruction‐optimization of the set of processes’ procedures is explained. Four different simulation models from Kambara Reactor (KR) to continuous casting (CC) are established using Flexsim simulation software. The theory of structural optimization and simulation models complements each other, which promotes the understanding of structural optimization methods and the application of simulation models. The logistics operation of the simulation model under different production conditions is investigated, especially considering the influence of time factors. Finally, the effectiveness of the structural optimization method and the simulation model is verified by comparing the simulation results with the actual production of a steel plant.
To solve the problem of preparing the integrated batch planning for a steelmaking plant, this paper considers the continuous/quasi-continuous characteristics of the steel manufacturing process operation. On the premise of analysing the constraints of steelmaking procedure and continuous casting procedure, this paper firstly develops the charge plan model and casting plan model, and then forms and solves the integrated batch planning model. According to the actual of the production site, this paper introduces an improved elitist genetic algorithm (IEGA), defines the matching chromosome coding and decoding strategies with the actual, and suggests improving the genetic operators. Finally, we verify the proposed model and algorithm on the production data of a real steelmaking plant. We clarify the applicability of developing an integrated batch planning model based on model analysis and demonstrate the effectiveness of the IEGA through algorithm analysis.KEY WORDS: charge plan; casting plan; integrated batch planning; genetic algorithm; steelmaking plant.
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