本文關(guān)鍵詞：基于DCS的先進(jìn)控制在熱電廠脫硝液氨汽化中的應(yīng)用研究　出處：《青島科技大學(xué)》2015年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 液氨汽化 先進(jìn)過(guò)程控制技術(shù) 模糊自適應(yīng)PID 集散控制系統(tǒng)

【摘要】：目前,火電廠煤炭燃燒產(chǎn)生的廢氣成為環(huán)境污染的主要原因之一,已經(jīng)被人們?cè)絹?lái)越重視。廢氣中的氮氧化物的排放量也是污染物中增長(zhǎng)最快的,因此我國(guó)今后逐步加強(qiáng)對(duì)燃煤電廠氮氧化物的排放治理是大勢(shì)所趨并且意義重大。而選擇性催化還原脫硝技術(shù)作為目前應(yīng)用最為廣泛,技術(shù)最為成熟的脫硝技術(shù),也成為了電廠配套脫硝項(xiàng)目工程的首選。本文針對(duì)某石化公司實(shí)際脫硝項(xiàng)目,在其中關(guān)鍵的液氨汽化過(guò)程中采用先進(jìn)DCS控制,開(kāi)發(fā)了一套先進(jìn)控制以及優(yōu)化系統(tǒng),總結(jié)了工程應(yīng)用數(shù)據(jù),高效的完成液氨汽化間的控制,保證了脫硝反應(yīng)的順利進(jìn)行,使氮氧化物排放量達(dá)到100mg/m3以下,脫硝效果達(dá)到預(yù)期標(biāo)準(zhǔn)。DCS部分采用國(guó)內(nèi)成熟的新華XDC-800系統(tǒng),本文將實(shí)際項(xiàng)目液氨汽化間控制的編程組態(tài)邏輯以及人機(jī)界面中的設(shè)計(jì)難點(diǎn)提出并加以創(chuàng)新性的解決,在算法上用模糊自整定PID控制提升控制效率,建立了液氨汽化間的數(shù)學(xué)模型并通過(guò)Simulink仿真證明改造過(guò)的算法比傳統(tǒng)PID控制算法更加高效,更加適合非線性動(dòng)態(tài)系統(tǒng)。
[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.
【學(xué)位授予單位】：青島科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：X773

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本文編號(hào)：1391203