基于Aspen Plus用户模型技术的油页岩热解过程模拟

doi:10.16085/j.issn.1000-6613.2017.05.017

化工进展 ›› 2017, Vol. 36 ›› Issue (05): 1682-1689.DOI: 10.16085/j.issn.1000-6613.2017.05.017

基于Aspen Plus用户模型技术的油页岩热解过程模拟

柏静儒¹, 李启凡¹, 吴海涛¹, 白章², 王擎¹

1. 东北电力大学油页岩综合利用教育部工程研究中心, 吉林吉林 132012;
2. 中国科学院工程热物理研究所, 北京 100190

收稿日期:2016-09-07 修回日期:2016-09-27 出版日期:2017-05-05 发布日期:2017-05-05
通讯作者: 柏静儒(1973-),女,博士,教授,主要从事油页岩综合利用技术方面的研究工作。
作者简介:柏静儒(1973-),女,博士,教授,主要从事油页岩综合利用技术方面的研究工作。E-mail:bai630@mail.nedu.edu.cn。
基金资助:
吉林省重点科技公关项目（20140204004SF）

Simulation of oil shale pyrolysis using Aspen Plus user model

BAI Jingru¹, LI Qifan¹, WU Haitao¹, BAI Zhang², WANG Qing¹

1. Engineering Research Centre of Ministry of Education for Comprehensive Utilization of Oil Shale, Northeast Dianli University, Jilin 132012, Jilin, China;
2. Institute of Engineering Thermal Physics, Chinese Academy of Sciences, Beijing 100190, China

Received:2016-09-07 Revised:2016-09-27 Online:2017-05-05 Published:2017-05-05

摘要/Abstract

摘要： 建立了基于油页岩化学结构的热解动力学模型，利用Fortran语言对热解主要组分的数学模型进行编写，基于用户模型嵌入到Aspen Plus软件中，对主要组分产率随温度变化进行了模拟计算，并与文献实验数据进行对比。结果表明：CO和CH₄模拟值与实验数据吻合较好；CO₂的模拟值约在600℃之前有较好的契合度，由于模拟中未考虑矿物质分解，导致600℃之后有一定偏差；H₂的产率曲线模拟值与文献实验值在开始阶段比较一致，随着时间的延长，偏离程度慢慢变大；550℃之前，页岩油的模拟值与文献实验值吻合程度较好，在高温段的预测有一定偏差。同时对不同温度下主要组分的产率随时间的变化预测发现：随着时间的延长，主要组分的产率先快速增加之后逐渐稳定在一个恒定值；温度较低时，主要组分的产率随着时间的延长而增加。当进一步提高热解温度，完成有机质分解所需要的时间逐渐缩短；在同一时间下，主要组分产率随热解温度的增加而升高。

关键词: 油页岩, 用户模型, AspenPlus, 化学结构, 模拟

Abstract: It was used to build the oil shale pyrolysis model based on chemical structure,using Fortran language to compile mathematical model of the main components and embedding Aspen Plus based on user model.The main components of yield with the temperature change was simulated calculation.The accuracy of the results was verified by comparing document of the experimental data and simulation of the data.The results indicated that the simulation of the data for CO and CH₄ agreed well with document of the experimental data.The analogue value of CO₂ and shale oil had a good fit before about 600℃,while some deviations occurred after 600℃ due to the influence of decomposition of mineral substances.The simulation of the data for H₂ in the beginning stages had a good fit with document of the experimental data,but the deviation degree slowly enlarged as time went on.Meanwhile,the yield of main components with time under different temperature was forecasted,It was found that the yield of main components first increased rapidly and then gradually stabilized at a constant value with the extension of time.When the temperature was relatively low,the yield of main components increased as time went by.When the pyrolysis temperature was further enhanced,the time required for organic matter decomposition was gradually reduced.The yield of the main component increased with the raise of pyrolysis temperature at the same time.

Key words: oil shale, user model, Aspen Plus, chemical structure, simulation

中图分类号:

TE662

柏静儒, 李启凡, 吴海涛, 白章, 王擎. 基于Aspen Plus用户模型技术的油页岩热解过程模拟[J]. 化工进展, 2017, 36(05): 1682-1689.

BAI Jingru, LI Qifan, WU Haitao, BAI Zhang, WANG Qing. Simulation of oil shale pyrolysis using Aspen Plus user model[J]. Chemical Industry and Engineering Progress, 2017, 36(05): 1682-1689.

参考文献

[1] 钱家麟,尹亮. 油页岩-石油的补充能源[M]. 北京:中国石化出版社,2008. QIAN J L,YIN L. Oil shale-petroleum alternative[M]. Beijing:China Petrochemical Press,2008.
[2] 孙键,王擎,孙东红,等.油页岩综合利用集成技术与循环经济[J]. 现代电力,2007,24(5):57-67. SUN J,WANG Q,SUN D H,et al. Integrated technology for oil shale comprehensive utilization and cycling economy[J]. Modern Electric Power,2007,24(5):57-67.
[3] 马玲,尹秀英,孙昊,等.世界油页岩资源开发利用现状与发展前景[J].世界地质,2012,31(4):772-777. MA L,YIN X Y,SUN H,et al. Present status of oil shale resource utilization in the world and its development prospects[J]. Global Geology,2012,31(4):772-777.
[4] 卞云霞. 大庆油页岩热解动力学及模型研究[D]. 大连:大连理工大学,2014. BIAN Y X. The study of kinetics and model of Daqing oil shale pyrolysis[D]. Dalian:Dalian University of Technology,2014.
[5] 王擎,吴吓华,孙佰仲,等.桦甸油页岩半焦燃烧反应动力学研究[J]. 中国电机工程学报,2006,26(7):29-34. WANG Q,WU X H,SUN B Z,et al. Combustion reaction kinetics study of Huadian oil shale semi-coke[J]. Proceeding of the CSEE,2006,26(7):29-34.
[6] CAMPBELL J H,KOSKINAS G J,GALLEGOS G,et al. Gas evolution during oil shale pyrolysis. 1. Nonisothermal rate measurements[J]. Fuel,1980,59(80):718-726.
[7] HILLIER J L,FLETCHER T H. Pyrolysis kinetics of a green river oil shale using a pressurized TGA[J].Energy Fuels,2011,25(1):232-239.
[8] 王擎,王浩添,贾春霞,等. 油页岩化学结构的化学渗透脱挥发分模型[J]. 中国电机工程学报,2014,34(20):3295-3301. WANG Q,WANG H T,JIA C X,et al. Chemical percolation for devolatilization model based on the oil shale chemical structure[J]. Proceeding of the CSEE,2014,34(20):3295-3301.
[9] 舒歌平. 神华煤直接液化工艺开发历程及其意义[J]. 神华科技,2009,7(1):78-82. SHU G P. Development and its signification of Shenhua coal direct liquefaction[J]. Shenhua Science and Technology,2009,7(1):78-82.
[10] 柏静儒,白章,李少华,等. 油页岩低温干馏过程的Aspen Plus模拟[J]. 现代化工,2012,32(3):85-88. BAI J R,BAI Z,LI S H,et al. Modeling of low temperature retorting process for oil shale using Aspen Plus[J]. Modern Chemical Industry,2012,32(3):85-88.
[11] 蔡连国. 煤热解挥发分主要气体析出模型与Aspen Plus模拟应用[D]. 北京:中国科学院研究生院,2012. CAI L G. Major gases of volatiles evolution model of coal pyrolysis and its application in Aspen Plus simulation[D]. Bejing:Graduate University of Chinese Academy of Science,2012.
[12] 单贤根,常小瑞,任琼,等.Aspen Plus用户模型技术的煤直接液化全流程模拟[J]. 计算机与应用化学,2014(8):125-130. SHAN X K,CHANG X R,REN Q,et al. Simulation of coal liquefaction process by developing user models on Aspen Plus platform[J]. Computers and Applied Chemistry,2014(8):125-130.
[13] 王擎,任立国,王锐,等. 油页岩的~(13)C-NMR特征及FLASHCHAIN热解模拟研究[J]. 燃料化学学报,2014,42(3):303-308. WANG Q,REN L G,WANG R,et al. Characterization of oil shale by ¹³C-NMR and the simulation of pyrolysis by FLASHCHAIN[J]. Journal of Fuel Chemistry and Technology,2014,42(3):303-308.
[14] 谭伟,宋维仁,叶银梅,等. 基于Aspen Plus用户模型的甲醇合成模拟及分析[J]. 洁净煤技术,2012,18(1):58-62. TAN W,SONG W R,YE Y M,et al. Process simulation and analysis of methanol synthesis based on Aspen Plus user model[J]. Clean Coal Technology,2012,18(1):58-62.
[15] 王擎,王锐,贾春霞,等. 油页岩热解的FG-DVC模型[J]. 化工学报,2014,65(6):2308-2315. WANG Q,WANG R,JIA C X,et al. FG-DVC model for oil shale pyrolysis[J]. CIESC Journal,2014,65(6):2308-2315.
[16] 王擎,杨乾坤,许祥成,等. FLASHCHAIN模型应用于汪清油页岩热解研究[J]. 燃料化学学报,2016,44(2):138-145. WANG Q,YANG Q K,XU X C,et al. Application of FLASHCHAIN model in pyrolysis of Wangqing oil shale[J]. Journal of Fuel Chemistry and Technology,2016,44(2):138-145.
[17] FRIEBEL J,KÖPSEL R F W. The fate of nitrogen during pyrolysis of German low rank coals - a parameter study[J]. Fuel,1999,78(8):923-932.
[18] 冯志华,常丽萍. 煤热解过程中氮的分配及存在形态的研究进展[J]. 煤炭转化,2000,23(3):6-12. FENG Z H,CHANG L P. Study of nitrogen distribution and functional forms during coal pyrolysis[J]. Coal Conversion,2000,23(3):6-12.
[19] XUAN Q,PENG L,RONG Z,et al. Sulfur transformation in the process of circulating fluidized bed combustion combined with coal pyrolysis[J]. Energy & Fuels,2010,24(9):5023-5027.
[20] 林卫生. 油页岩热解过程中轻质气体的析出特性研究[D]. 吉林:东北电力大学,2015. LIN W S. Study on evolution characteristics of light gas generated from oil shale pyrolysis process[D]. Jilin:Northeast Dianli University,2015.
[21] 柏静儒,白章,王擎,等. 基于Aspen Plus的桦甸式油页岩干馏工艺系统模拟[J]. 化工学报,2012,63(12):4075-4081. BAI J R,BAI Z,WANG Q,et al. Process simulation for Huadian-type oil shale retorting system by Aspen Plus[J]. CIESC Journal,2012,63(12):4075-4081.
[22] SOLOMON P R,COLKET M B. Coal devolatilization[J]. Symposium on Combustion,1979,17(1):131-143.
[23] 赵月红,温浩,许志宏. Aspen Plus用户模型开发方法探讨[J]. 计算机与应用化学,2003,20(4):435-438. ZHAO Y H,WEN H,XU Z H. Discussions on development of user models for Aspen Plus [J]. Computers and Applied Chemistry,2003,20(4):435-438.
[24] 原璐.过程模拟软件二次开发接口方法研究[D]. 青岛:青岛科技大学,2005. YUAN L. Discussions on method of function development for Aspen Plus[D]. Qingdao:Qingdao University of Science and Technology,2005.
[25] 谢克昌. 煤的结构与反应性[M]. 北京:科学出版社,2002. XIE K C. The Structure and reactivity of coal[M]. Beijing:Science Press,2002.
[26] JONG W D,NOLA G D,VENNEKER B C H,et al.TG-FTIR pyrolysis of coal and secondary biomass fuels:determination of pyrolysis kinetic parameters for main species and NO_x,precursors[J]. Fuel,2007,86(15):2367-2376.

基于Aspen Plus用户模型技术的油页岩热解过程模拟

Simulation of oil shale pyrolysis using Aspen Plus user model

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