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石化企業(yè)耗能裝置及設(shè)備節(jié)能評(píng)估系統(tǒng)的應(yīng)用分析研究

發(fā)布時(shí)間:2019-03-31 12:10
【摘要】:石化企業(yè)不僅是能源生產(chǎn)大戶,又是能源消費(fèi)大戶。若石化企業(yè)能夠從自身做起,從源頭控制能源消耗,將節(jié)能、降耗與合理利用能源深入貫徹到生產(chǎn)的各個(gè)環(huán)節(jié),勢(shì)必能為我國(guó)節(jié)能減排事業(yè)做出不小的貢獻(xiàn)。國(guó)內(nèi)雖在企業(yè)能源審計(jì)、能量平衡與軟件相結(jié)合方面的研究上取得了一定的成果,但關(guān)于石化裝置節(jié)能評(píng)估系統(tǒng)軟件的開發(fā)研究較少!笆髽I(yè)耗能裝置及設(shè)備節(jié)能評(píng)估系統(tǒng)”則開創(chuàng)了石化類節(jié)能評(píng)估專業(yè)軟件的先河,頗具預(yù)見性與創(chuàng)新性。本文便基于這套軟件展開一系列應(yīng)用分析研究。本文通過將該軟件與“福建漳州古雷煉化一體化”的節(jié)能評(píng)估相結(jié)合,分析項(xiàng)目四十余套煉油、化工裝置及相關(guān)設(shè)備的基礎(chǔ)信息,計(jì)算并整理出一系列裝置及設(shè)備信息表,并將其運(yùn)用到軟件節(jié)能評(píng)估模塊的三大單元(能耗統(tǒng)計(jì)單元、設(shè)備能效評(píng)價(jià)單元、三環(huán)節(jié)分析單元)中;而后通過分析軟件輸出數(shù)據(jù),對(duì)該項(xiàng)目進(jìn)行節(jié)能評(píng)估分析。論文同時(shí)分析軟件數(shù)據(jù)庫的不足,以期進(jìn)一步完善數(shù)據(jù)庫,提高軟件的實(shí)用性和針對(duì)性。結(jié)果表明:應(yīng)用該軟件可得知項(xiàng)目各裝置能耗及用能水平,如催化裂化裝置、SSBR裝置能耗分別高達(dá)48.12kgoe/t原料和40.05kgoe/t原料,項(xiàng)目各裝置的能量轉(zhuǎn)化效率、能量利用率、能源利用率分別為91%、70%、65%以上;分析設(shè)備能耗可知,若采取節(jié)能措施,并使項(xiàng)目大型加熱爐、壓縮機(jī)、機(jī)泵設(shè)備的整體能效水平提升,年能耗可分別降低2615toe、1081toe、226toe;分析項(xiàng)目整體能耗結(jié)構(gòu)可知,能源消耗比重從高到低依次是煤47.02%、燃料氣33.64%、電16.01%、催化燒焦11.63%、蒸汽12.67%、燃料油1.31%、新鮮水0.39%。本文還提出一系列軟件改進(jìn)措施和建議,如增加輔助生產(chǎn)系統(tǒng)的能效分析模塊、進(jìn)一步完善系統(tǒng)數(shù)據(jù)庫、增加程序內(nèi)部算法、加強(qiáng)軟件與網(wǎng)絡(luò)外源數(shù)據(jù)庫的接洽、優(yōu)化三環(huán)節(jié)分析計(jì)算模型、增加能源統(tǒng)計(jì)單位等。
[Abstract]:Petrochemical enterprises are not only energy production, but also energy consumption. If petrochemical enterprises can control energy consumption from the source and carry out energy saving, consumption reduction and rational utilization to every link of production, petrochemical enterprises will certainly make a great contribution to the cause of energy conservation and emission reduction in China. Although some achievements have been made in the research of energy audit, energy balance and software, few researches have been made on the development of energy-saving evaluation system software for petrochemical plants. Energy consumption equipment and equipment energy-saving evaluation system in petrochemical enterprises has pioneered the professional software of energy-saving assessment in petrochemical enterprises, which is predictable and innovative. This paper is based on this set of software to launch a series of application analysis research. In this paper, the software is combined with the energy-saving evaluation of "Fujian Zhangzhou Gulei Refining and Chemical Integration", and the basic information of more than 40 sets of refinery, chemical plant and related equipment are analyzed, and a series of equipment and equipment information tables are calculated and sorted out. And it is applied to the three main units (energy consumption statistics unit, equipment energy efficiency evaluation unit, three link analysis unit) of the software energy-saving evaluation module. Then through the analysis of the software output data, the project energy-saving evaluation analysis. At the same time, the deficiency of the software database is analyzed in order to further improve the database and improve the practicability and pertinence of the software. The results show that the energy consumption and energy consumption level of each unit, such as catalytic cracking unit and SSBR unit, are as high as 48.12kgoe/t feedstock and 40.05kgoe/t feedstock, respectively, and the energy conversion efficiency of each unit in the project can be obtained by using the software. The energy efficiency and energy efficiency were 91%, 70% and 65% respectively. According to the analysis of equipment energy consumption, if energy-saving measures are taken and the overall energy efficiency level of large-scale heating furnace, compressor and pump equipment is improved, the annual energy consumption can be reduced by 2615 toe, 1081 toeand 226 toerespectively. According to the overall energy consumption structure of the project, the proportion of energy consumption from high to low is 47.02% of coal, 33.64% of fuel gas, 16.01% of electricity, 11.63% of catalytic coke, 12.67% of steam and 1.31% of fuel oil. Fresh water 0.39%. This paper also puts forward a series of software improvement measures and suggestions, such as increasing the energy efficiency analysis module of the auxiliary production system, further perfecting the system database, adding the internal algorithm of the program, and strengthening the contact between the software and the external database of the network. Optimize the three-link analysis and calculation model, increase the energy statistics unit and so on.
【學(xué)位授予單位】:中國(guó)石油大學(xué)(華東)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2015
【分類號(hào)】:TE683

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