基于DCS的先进控制在热电厂脱硝液氨汽化中的应用研究

发布时间：2018-01-07 05:36

本文关键词：基于DCS的先进控制在热电厂脱硝液氨汽化中的应用研究　出处：《青岛科技大学》2015年硕士论文　论文类型：学位论文

【摘要】：目前,火电厂煤炭燃烧产生的废气成为环境污染的主要原因之一,已经被人们越来越重视。废气中的氮氧化物的排放量也是污染物中增长最快的,因此我国今后逐步加强对燃煤电厂氮氧化物的排放治理是大势所趋并且意义重大。而选择性催化还原脱硝技术作为目前应用最为广泛,技术最为成熟的脱硝技术,也成为了电厂配套脱硝项目工程的首选。本文针对某石化公司实际脱硝项目,在其中关键的液氨汽化过程中采用先进DCS控制,开发了一套先进控制以及优化系统,总结了工程应用数据,高效的完成液氨汽化间的控制,保证了脱硝反应的顺利进行,使氮氧化物排放量达到100mg/m3以下,脱硝效果达到预期标准。DCS部分采用国内成熟的新华XDC-800系统,本文将实际项目液氨汽化间控制的编程组态逻辑以及人机界面中的设计难点提出并加以创新性的解决,在算法上用模糊自整定PID控制提升控制效率,建立了液氨汽化间的数学模型并通过Simulink仿真证明改造过的算法比传统PID控制算法更加高效,更加适合非线性动态系统。
[Abstract]:At present, the waste gas produced by coal combustion in thermal power plant has become one of the main causes of environmental pollution, which has been paid more and more attention. Therefore, it is of great significance to strengthen the treatment of NOx emissions from coal-fired power plants in China in the future, and selective catalytic reduction denitrification is the most widely used technology at present. The most mature technology of denitrification has also become the first choice of the power plant supporting denitrification project. In view of the actual denitrification project of a petrochemical company, advanced DCS control is adopted in the key process of ammonia vaporization. A set of advanced control and optimization system is developed, and the engineering application data are summarized, and the control of liquid ammonia vaporization is completed efficiently, which ensures the smooth progress of denitrification reaction. The nitrogen oxide emission is less than 100 mg / m ~ 3, and the denitrification effect is up to the expected standard. The domestic mature Xinhua XDC-800 system is used in part. In this paper, the programming configuration logic of the liquid ammonia vaporization control and the design difficulties in the man-machine interface are put forward and innovatively solved, and the fuzzy self-tuning PID control is used to improve the control efficiency in the algorithm. The mathematical model of liquid ammonia vaporization is established and the Simulink simulation shows that the modified algorithm is more efficient than the traditional PID control algorithm and is more suitable for nonlinear dynamic systems.
【学位授予单位】：青岛科技大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：X773

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