發(fā)布時間：2018-03-03 13:23

  本文選題：氦氣　切入點：天然氣提氦　出處：《西南石油大學》2015年碩士論文　論文類型：學位論文

【摘要】：氦氣是保障我國國防安全和經(jīng)濟發(fā)展的一種重要稀有氣體資源,因其獨特性質(zhì)被廣泛應(yīng)用于多種領(lǐng)域。目前,從天然氣中提取氦氣是工業(yè)用氦的主要來源。我國氦資源十分貧乏,如何高效、節(jié)能的從天然氣中提取氦氣成為國內(nèi)重要研究課題。深冷法是目前天然氣提氦的主要方法。某天然氣提氦裝置采用深冷法進行提氦,在實際生產(chǎn)運行中,裝置的提氦塔和壓縮機等主要設(shè)備由于操作參數(shù)的影響導(dǎo)致該生產(chǎn)裝置能耗較大,針對該提氦裝置的現(xiàn)狀分析,對該天然氣提氦裝置進行工藝參數(shù)優(yōu)化研究,使其有效降低能耗,且滿足裝置的實際生產(chǎn)。 本論文利用Aspen-HYSYS對該天然氣提氦裝置工藝流程進行了流程模擬,并對關(guān)鍵設(shè)備進行了能耗分析。通過對裝置可控參數(shù)進行單因素分析,分析比較各參數(shù)對總能耗和粗氦摩爾比的影響程度,確定四個優(yōu)化因素,分別為一級提濃塔進料溫度、一級提濃塔進料壓力、一級提濃塔塔底物流分配比和二級提濃塔回流比。在參數(shù)分析基礎(chǔ)是,采用響應(yīng)面優(yōu)化法擬合出優(yōu)化參數(shù)與能耗、二次粗氦摩爾比之間的回歸關(guān)系式,并分析多因素的交互作用,結(jié)果表明：一級提濃塔進料壓力與一級提濃塔塔底物流分配比、級提濃塔進料溫度與一級提濃塔塔底物流分配比、一級提濃塔進料溫度與一級提濃塔進料壓力之間存在顯著交互作用,其交互作用大小關(guān)系為：一級提濃塔進料壓力與一級提濃塔塔底物流分配比交互作用一級提濃塔進料溫度與一級提濃塔塔底物流分配比交互作用一級提濃塔進料溫度與一級提濃塔進料壓力交互作用。 在對響應(yīng)面回歸方程方差分析的基礎(chǔ)上,合理簡化原擬合出的多項式模型,以總能耗最小為優(yōu)化目標,四個優(yōu)化因素的優(yōu)化范圍為約束條件,對簡化后的方程進行能耗優(yōu)化。結(jié)果顯示,優(yōu)化因素的最優(yōu)值分別為一級提濃塔進料溫度-116.93℃、一級提濃塔進料壓力2205.56kPa、一級提濃塔塔底物流分配比0.09、二級提濃塔回流比4.74,優(yōu)化后的總能耗降低31.6%。
[Abstract]:Helium is a kind of important rare gas resources security in our country national security and economic development, because of its unique properties and have been widely used in many fields. At present, extracted from natural gas helium is the main source of industrial helium. Helium resource in China is very poor, how efficient, energy extraction from natural gas is helium an important research topic in China. Cryogenic method is the main method of natural gas helium. A gas helium extraction device for helium by cryogenic method, in the practical operation, the main equipment of the helium compressor tower and due to the influence of operating parameters to the energy consumption of production equipment is large, according to the analysis of the current situation of helium. Device, study of parameters optimization for the gas helium extraction device, which effectively reduces the energy consumption, and meet the actual production device.
Aspen-HYSYS in the gas extraction process of helium device of process simulation in this paper, and the key equipment of energy analysis. Through single factor analysis of device parameters, analysis and comparison of various parameters impact on the total energy consumption and crude helium mole ratio, determine the four optimization factors, namely a concentrated the column feed temperature, level of concentration tower feeding pressure and the level of concentration in the bottom of the logistics distribution ratio and two concentrated reflux ratio. In the parameter analysis is based on the fitting, parameter optimization and energy consumption of RSM, the regression relation between the two crude helium mole ratio, and analysis the interaction of multiple factors, the results showed that the level of concentration tower and feed pressure level is concentrated in the bottom of the logistics distribution ratio, level of concentration tower feed temperature and level of concentration in the bottom of the logistics distribution ratio, level of concentration tower feed temperature and level of concentration tower There was a significant interaction between the feeding pressure and the interaction relationship of size is: a concentrated feed the tower pressure and a concentrated in the bottom of the logistics distribution ratio of the interaction level of concentration tower feed temperature and level of concentration in the bottom of the logistics distribution ratio of the interaction level of concentration tower feed temperature with a concentrated column feed pressure interaction.
Based on the response surface regression equation analysis of variance, simplified polynomial model fitting out, with the minimum total energy consumption as the optimization objective, the optimization range of four optimization factors as constraint conditions, the energy consumption optimization of the simplified equations. The results show that the optimization of the optimal values of the factors were level of concentration tower the feed temperature of -116.93 DEG C, a concentrated column feed pressure of 2205.56kPa, a concentrated in the bottom of logistics distribution ratio of 0.09, two concentration column reflux ratio was 4.74, the total energy consumption optimization after reducing 31.6%.

【學位授予單位】：西南石油大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：TQ116.41

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本文編號：1561207