钢铁企业副产煤气系统运行优化研究

发布时间：2018-04-27 14:58

  本文选题：副产煤气 + 产消预测　； 参考：《山东大学》2015年硕士论文

【摘要】：副产煤气作为钢铁企业生产过程中产生的重要二次能源,占钢铁企业总能源消耗量的30%。借助有效手段准确预测与科学调度煤气资源,对降低吨钢能耗、减少煤气放散、提高企业经济效益具有十分重要的意义。本文系统地研究了钢铁企业副产煤气的产消机理及供需关系变化规律,建立了副产煤气产消预测模型和优化调度模型,并开发了副产煤气系统运行优化软件,为钢铁企业煤气的合理利用、优化分配提供了理论依据和分析工具。主要研究内容如下：首先,分析了钢铁企业副产煤气系统的基本特性。简要介绍了钢铁企业的生产工艺流程,明确了其与副产煤气系统间的关系,进而将副产煤气系统划分为煤气产出系统、煤气消耗系统和煤气输配系统三部分,并详细分析了各部分在煤气系统中的作用。其次,基于时间序列分析和影响因素分析建立了副产煤气系统产消预测模型。其中,煤气产生量预测在明确副产煤气产出影响因素的前提下,建立了不同工况下的煤气流量和热值预测模型；煤气消耗量预测则基于钢铁生产过程主工序单元的消耗特性,建立了耗热量预测模型。实例分析表明,该模型的预测结果相对误差较小,可以满足生产调度的需要。再次,基于数学规划建立了副产煤气多周期优化调度模型。本文从全局优化的角度出发,以煤气系统总运行成本最小化为目标,将煤气放散、柜位波动和热值波动等带来的费用作为惩罚成本加入其中,并在考虑不同用户煤气需求和工艺要求的前提下,为每类调度单元制定了相应的约束条件,从而建立起了副产煤气系统的优化调度模型。结合某钢厂实际生产数据对模型的有效性和优化性进行了验证,调度结果表明该模型能节约运行成本12.5%。最后,设计开发了副产煤气系统运行优化软件。为方便钢铁企业调度人员对副产煤气进行及时有效的分配,本文参照前面所建立的预测模型与调度模型,完成了运行优化软件的设计,并从系统设计、功能实现和运行测试等三个方面进行了介绍。
[Abstract]:As an important secondary energy produced in the production process of iron and steel enterprises, by-product gas accounts for 30 percent of the total energy consumption of iron and steel enterprises. Accurate prediction and scientific regulation of gas resources by effective means are of great significance to reduce energy consumption of tons of steel, reduce gas emission and improve economic benefits of enterprises. In this paper, the mechanism of by-product gas production and consumption and the changing law of supply and demand of by-product gas in iron and steel enterprises are systematically studied, the prediction model and optimal dispatching model of by-product gas production and consumption are established, and the operation optimization software of by-product gas system is developed. It provides theoretical basis and analysis tool for rational utilization and optimal distribution of coal gas in iron and steel enterprises. The main contents are as follows: firstly, the basic characteristics of by-product gas system in iron and steel enterprises are analyzed. This paper briefly introduces the production process of iron and steel enterprises, clarifies the relationship between the by-product gas system and the by-product gas system, and then divides the by-product gas system into three parts: the gas output system, the gas consumption system and the gas transmission and distribution system. The function of each part in the gas system is analyzed in detail. Secondly, based on time series analysis and influence factor analysis, the production and consumption prediction model of by-product gas system is established. On the premise of determining the influencing factors of by-product gas output, the prediction model of gas flow and calorific value under different working conditions is established, while the prediction of gas consumption is based on the consumption characteristics of the main process units in the steel production process. A prediction model of heat consumption is established. The analysis of example shows that the prediction result of this model has less relative error and can meet the demand of production scheduling. Thirdly, the multi-cycle optimal scheduling model of by-product gas is established based on mathematical programming. From the point of view of global optimization, aiming at minimizing the total operating cost of gas system, the cost of gas release, tank fluctuation and calorific value fluctuation are added as penalty cost in this paper. On the premise of considering different users' gas demand and process requirements, the corresponding constraints for each type of dispatching unit are established, and the optimal scheduling model of by-product gas system is established. The validity and optimality of the model are verified by combining the actual production data of a steel plant. The scheduling results show that the model can save the running cost 12.5%. Finally, the operation optimization software of by-product gas system is designed and developed. In order to facilitate the timely and effective distribution of by-product gas to the dispatchers of iron and steel enterprises, this paper, referring to the prediction model and dispatching model established earlier, has completed the design of the running optimization software, and designed the system from the point of view of the system. The function realization and running test are introduced.
【学位授予单位】：山东大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：F426.31

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