电子级超纯氮深冷空分流程节能优化研究

曾海涛 ,  徐锋 ,  余志鹏 ,  蒲亮 ,  刘运生

西安交通大学学报 ›› 2026, Vol. 60 ›› Issue (7) : 97 -108.

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西安交通大学学报 ›› 2026, Vol. 60 ›› Issue (7) : 97 -108. DOI: 10.7652/xjtuxb202607010
专题 高纯气体制备

电子级超纯氮深冷空分流程节能优化研究

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Energy Efficiency Optimization of the Cryogenic Air Separation Process for Electronic-Grade Ultra Pure Nitrogen

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摘要

为满足电子行业对超纯氮品质要求的提升,改善深冷空分生产电子级超纯氮的能耗,利用Aspen Plus仿真软件构建了深冷空分制氮流程模型,并进行了多目标优化分析。首先,在相似氮产品要求前提下,比较了2种制氮流程的模拟结果;然后,以性能表现较优的低压塔抽气双塔流程为基础,通过Box-Behnken响应曲面法分析了比功耗对高压塔分离压力、低压塔分离压力、高压塔理论塔板数、低压塔理论塔板数的敏感性,分析了设计变量间相互作用对比功耗的影响,建立了包括比功耗在内的4个响应量与设计变量之间的预测模型,得出了最优参数组合并对优化前、后系统主要部件进行了分析。结果表明:预测模型具有优良的准确性;在最优参数组合下,预测值与模拟值的误差为0.02%;流程中大部分损源于空气压缩单元、精馏单元及主换热器;优化后,氮气产量提升了7.30%,比功耗降低了3.74%,单位产量氮气损降低了6.33%,系统效率从45.13%提升至47.05%。

Abstract

To meet the increasing demand for electronic-grade ultra-pure nitrogen and to minimize energy consumption during production of such nitrogen via cryogenic air separation,cryogenic air separation process models were developed using Aspen Plus,and a multi-objective optimization analysis was conducted.Firstly,the simulation results of two nitrogen production processes were compared under equivalent nitrogen product specifications.Secondly,based on the superior performance of the dual-column process with gas extraction from the low-pressure column (LPC),the sensitivity of specific power consumption to four design variables—separation pressure of the high-pressure column (HPC),separation pressure of the LPC,and the number of theoretical stages in both columns—was investigated using the Box-Behnken response surface methodology.The interactions between these design variables and their effects on specific power consumption were analyzed,and predictive models relating the design variables to four response variables were established.An optimal parameter combination was subsequently identified,followed by a comparative exergy analysis between the optimized and initial conditions.The results indicate that the predictive models exhibit high accuracy,with a relative error of only 0.02% between the predicted and simulated values under optimal parameter combination.Most of the exergy destruction comes from the air compression unit,distillation unit,and main heat exchanger.After optimization,nitrogen production increased by 7.30%,specific power consumption decreased by 3.74%,and exergy destruction per unit of nitrogen production was reduced by 6.33%.Consequently,the system exergy efficiency was enhanced from 45.13% to 47.05%.

关键词

深冷空分系统 / 响应曲面法 / 分析

Key words

cryogenic air separation system / response surface methodology / exergy analysis

引用本文

引用格式 ▾
曾海涛,徐锋,余志鹏,蒲亮,刘运生. 电子级超纯氮深冷空分流程节能优化研究[J]. 西安交通大学学报, 2026, 60(7): 97-108 DOI:10.7652/xjtuxb202607010

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参考文献

[1]

Li GenChen HaoGuo Huanet al. A novel coupled system of compressed air energy storage system and air separation unit:thermodynamic and economic evaluation[J].Energy2025335:138303.

[2]

李玄武 . 深冷法现场制氮装置设计及工业实施[D].广州:华南理工大学,2017.

[3]

Huo ChangjiangSun JinjuSong Peng . Energy,exergy and economic analyses of an optimal use of cryogenic liquid turbine expander in air separation units[J].Chemical Engineering Research and Design2023189:194-209.

[4]

Maroukis GGeorgiadis M C . Modeling,simulation,and techno—economic optimization of argon separation processes[J].Chemical Engineering Research and Design2022184:165-179.

[5]

郑捷宇,厉彦忠,司标, . 基于分析的空分流程对比研究[J].工程热物理学报201536(10):2097-2101.

[6]

Zheng JieyuLi YanzhongSi Biaoet al. Comparative study of air separation process based on exergy analysis[J].Journal of Engineering Thermophysics201536(10):2097-2101.

[7]

Zonouz M JMehrpooya M . Parametric study of a hybrid one column air separation unit (ASU)and CO2 power cycle based on advanced exergy cost analysis results[J].Energy2017140(Part 1):261-275.

[8]

He XiufenLiu YunongRehman Aet al. A novel air separation unit with energy storage and generation and its energy efficiency and economy analysis[J].Applied Energy2021281:115976.

[9]

Tong LigeZhang AijingLi Yonglianget al. Exergy and energy analysis of a load regulation method of CVO of air separation unit[J].Applied Thermal Engineering201580:413-423.

[10]

Chen Guofu . Calculate the power of cryogenic air separation units[J].Chemical Engineering Progress2020116(6):26-33.

[11]

周霞 . 空分压缩余热回收系统设计运行理论与实验研究[D].杭州:浙江大学,2022.

[12]

Mora C AOrjuela A . Modeling,validation and exergy evaluation of a thermally—integrated industrial cryogenic air separation plant in Colombia[J].Chemical Engineering Research and Design2022185:73-86.

[13]

Ziębik AGładysz P . Systems approach to energy and exergy analyses[J].Energy2018165(Part A):396-407.

[14]

Kingston DWilhelmsen ØKjelstrup S . Minimum entropy production in a distillation column for air separation described by a continuous non—equilibrium model[J].Chemical Engineering Science2020218:115539.

[15]

Wang ZhiyuWang WenhaiQin Weizhonget al. Analysis of carbon footprint reduction for three novel air separation columns[J].Separation and Purification Technology2021262:118318.

[16]

Wang ZhiyuQin WeizhongYang Chunhuaet al. Heat—transfer distribution optimization for the heat—integrated air separation column[J].Separation and Purification Technology2020248:117048.

[17]

文兆伦,李沛睿,张忠林, . 基于自热再生的隔壁塔深冷空分工艺设计及优化[J].化工学报202374(7):2988-2998.

[18]

Wen ZhaolunLi PeiruiZhang Zhonglinet al. Design and optimization of cryogenic air separation process with dividing wall column based on self—heat regeneration[J].CIESC Journal202374(7):2988-2998.

[19]

王小云,丁传敏,牛艳霞 . 深冷空分工艺的模拟与优化[J].应用化工202352(11):3003-3007.

[20]

Wang XiaoyunDing ChuanminNiu Yanxia . Simulation and optimization of cryogenic air separation process[J].Applied Chemical Industry202352(11):3003-3007.

[21]

Mora C AOrjuela A . Modeling,validation and exergy evaluation of a thermally—integrated industrial cryogenic air separation plant in Colombia:part Ⅱ optimization under variable products demand[J].Chemical Engineering Research and Design2023191:537-551.

[22]

Kong FulinShen MinghaiTong Ligeet al. A novel multi—objective optimization framework based on the absolute priority method for co—production air separation systems[J].Chemical Engineering Science2025317:122099.

[23]

荣杨一鸣,吴巧仙,周霞, . 空分系统空气压缩余热自利用性能优化研究[J].化工学报202172(3):1654-1666.

[24]

Rong YangyimingWu QiaoxianZhou Xiaet al. Research on optimization of self—utilization performance of air compression waste heat in air separation system[J].CIESC Journal202172(3):1654-1666.

[25]

Yuan YuxingNa HongmingDu Taoet al. Multi—objective optimization and analysis of material and energy flows in a typical steel plant[J].Energy2023263(Part D):125874.

[26]

Saini AGhosh SKar Set al. Modeling and optimization for nitrogen liquefaction with subcooling and air separation unit from air[J].International Journal of Engineering and Advanced Technology20198(4):1770-1782.

[27]

李燕鹏 . 低温空气分离装置的流程选型方法研究[D].杭州:浙江大学,2019.

[28]

杨泽萌,韩晓萌,卢新发 . 基于稳态模拟技术的空分增氮工艺流程设计与实施[J].冶金动力2022(1):39-42.

[29]

Yang ZemengHan XiaomengLu Xinfa . Design and implementation of air separation nitrogen increasing process based on steady—state simulation technology[J].Metallurgical Power2022(1):39-42.

[30]

常亮,刘兴高 . 内部热耦合空分塔的节能优化分析[J].化工学报201263(9):2936-2940.

[31]

Chang LiangLiu Xinggao . Energy optimization analysis of internal thermally coupled air separation columns[J].CIESC Journal201263(9):2936-2940.

[32]

Yang YanTong LigeLiu Yuxinet al. A novel integrated system of hydrogen liquefaction process and liquid air energy storage (LAES):energy,exergy,and economic analysis[J].Energy Conversion and Management2023280:116799.

[33]

Fu ChaoGundersen T . Using exergy analysis to reduce power consumption in air separation units for oxy—combustion processes[J].Energy201244(1):60-68.

[34]

Fu ChaoGundersen T . Recuperative vapor recompression heat pumps in cryogenic air separation processes[J].Energy201359:708-718.

[35]

张涛,马国光,冷南江, . 某油田深冷空分制氮工艺优化研究[J].石油与天然气化工202251(6):61-69.

[36]

Zhang TaoMa GuoguangLeng Nanjianget al. Optimization of nitrogen production process by cryogenic air separation in an oil field[J].Chemical Engineering of Oil & Gas202251(6):61-69.

基金资助

江西省创新领军人才长期资助项目(S2021CQKJ0384)

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