Research On Byproduct Gas Dynamic Optimization Scheduling In Iron And Steel Works

Byproduct gas, one of the most important secondary energy, accounts for about30%of the total secondary energy in iron and steel company. And it is of great significance for iron-steel enterprise to take effective means to schedule byproduct gas resources scientifically and rationally, so as to reduce energy consumption per ton of steel, to decrease gas radiation, to improve enterprise efficiency as well as to improve the environment. This paper analyzes the process and characteristics of gas system production, consumption and buffering in iron and steel works systematically; it sets up dynamic optimization scheduling model according to the analysis and solves it with the mathematical software called ILOG. All of these efforts have been made to provide theoretical basis and analysis tool for iron-steel enterprise to gain reasonable use and optimal scheduling of byproduct gas. The main work of this paper is as follows:1. Analyze the characteristics of gas system in iron-steel enterprise. This paper divides gas system into three parts, including the output module, the consumption module and the buffering module. The characteristics of output module introduce the physicochemical property of byproduct gas and discuss events and device states which have effects on blast furnace, coke oven and converter production, then propose the dynamic models of gas generation in different states respectively to sum gas production characteristics. The part of consumption module mainly analyzes the gas using characteristics of the gas users in iron-steel enterprise, and sets up the dynamic model of gas consumption respectively. The characteristic analysis of buffering users presents the function of the buffering users. We analyze the production of gas system and utilize situation of gas in main and auxiliary production process in iron and steel company after looking into every link in gas system such as production, distribution and utilization.2. Set up gas dynamic optimization scheduling model. This paper builds up scheduling model based on theoretical analysis and reasonable simplification according to practical situation in iron-steel enterprise, which takes the demand of electricity and coal and combines the ideas of heuristic rules and user segmentation. This model realizes dynamic control of gas quantity fluctuation in order to achieve rapid regulation and pipe pressure balance in certain constraints.3. Solve the established model with ILOG and discuss results. This paper employs ILOG to solve the practical models based on the proposed dynamic optimization scheduling model, combining with actual data in a certain iron and steel company. We validates the feasibility and accuracy of this model by analyzing the results as well as comparing with the practical data in order to achieve better functions of the model on gas dynamic optimization scheduling.