采用不同分离技术的甲醇制芳烃流程对比分析与优化

江健荣; 杨敏博; 冯霄

doi:10.7652/xjtuxb202307020

您当前的位置：

首页 >

文章列表页 >

采用不同分离技术的甲醇制芳烃流程对比分析与优化

—————————————————————— | 更新时间：2025-07-09

- 采用不同分离技术的甲醇制芳烃流程对比分析与优化
- Comparative Analysis and Optimization of Methanol to Aromatics Process Based on Different Separation Technologies
- 西安交通大学学报 2023年57卷第7期页码：213-220
- 作者机构：
  
  西安交通大学化学工程与技术学院,西安,710049
- 作者简介：
  
  : 2022-12-01。作者简介: 江健荣(1993—),男,博士生
  杨敏博(通信作者),男,副教授,博士生导师。基金项目: 国家自然科学基金资助项目(21736008)。
- 基金信息：
  
  : 2022-12-01。作者简介: 江健荣(1993—),男,博士生;杨敏博(通信作者),男,副教授,博士生导师。基金项目: 国家自然科学基金资助项目(21736008)。
- DOI：10.7652/xjtuxb202307020
  中图分类号： TQ021.8
- 网络首发：2023-07-10，
  
  纸质出版：2023
- 稿件说明：
移动端阅览
江健荣, 杨敏博, 冯霄. 采用不同分离技术的甲醇制芳烃流程对比分析与优化[J]. 西安交通大学学报, 2023,57(7):213-220.

JIANG Jianrong, YANG Minbo, FENG Xiao. Comparative Analysis and Optimization of Methanol to Aromatics Process Based on Different Separation Technologies[J]. 2023, 57(7): 213-220.
江健荣, 杨敏博, 冯霄. 采用不同分离技术的甲醇制芳烃流程对比分析与优化[J]. 西安交通大学学报, 2023,57(7):213-220. DOI： 10.7652/xjtuxb202307020.

JIANG Jianrong, YANG Minbo, FENG Xiao. Comparative Analysis and Optimization of Methanol to Aromatics Process Based on Different Separation Technologies[J]. 2023, 57(7): 213-220. DOI： 10.7652/xjtuxb202307020.

摘要

为了降低甲醇制芳烃流程的能耗以及操作费用

提高经济性和竞争力

对采用冷油吸收法和精馏法进行轻烃回收的甲醇制芳烃流程进行了对比研究以及优化分析。首先

在Aspen HYSYS中建立了严格的流程模型

计算得到两个流程的能量平衡以及能量平衡数据

对流程操作以及产品数据进行了分析。然后

通过Aspen HYSYS和Matlab的数据连接

建立了以轻烃产品标准为约束的操作费用最小化的优化模型

并对两个流程进行了优化。结果表明:精馏流程的分离效果以及产品回收率均优于油洗流程; 优化后油洗流程的总操作费用略高于精馏流程; 从具体的操作费用贡献来看

精馏流程的电耗为油洗流程的1.46倍

并且需要使用更低温度的冷却剂

而油洗流程的中压蒸汽消耗量比精馏流程高出44.3%。该研究结果对进一步降低甲醇制芳烃工艺的能耗以及操作费用提供参考依据。

Abstract

In order to improve the cost efficiency and the competitiveness of the methanol to aromatics process by lowering the energy consumption and total operation cost

this paper compares and analyses the processes based on oil washing and distillation for light hydrocarbons separation. Firstly

rigorous simulation models for the two processes are established in Aspen HYSYS to achieve energy balance of the two processes and obtain the energy balance data through calculation for analyses on process operation and product data. After that

optimized models with the constraint of product specifications are developed through data interaction between Aspen HYSYS and Matlab to minimize the operation cost. The results indicate that the distillation-based process yields better outcome on the aspect of product purity and recovery. Moreover

the operation cost of the distillation-based process is slightly lower than the oil washing-based process. In terms of the specific contributors

the distillation-based process consumes 1.46 times electricity as much as the oil washing-based process

and also requires less for refrigerant temperature. The oil washing-based process consumes more medium-pressure steam than the distillation-based process by 44.3%. This paper provides an approach to lower the energy consumption and the total operation cost of producing aromatics from methanol.

关键词

Keywords

references

ZHANG Dan, YANG Minbo, FENG Xiao. Exergy and exergoeconomic analyses for integration of aromatics separation with aromatics upgrading [J]. Frontiers of Chemical Science and Engineering, 2023, 17(2): 183-193.

DEHERTOG W J H, FROMEN G F. A catalytic route for aromatics production from LPG [J]. Applied Catalysis: A General, 1999, 189(1): 63-75.

陈旨明, 刘军恒, 孙平, 等. 柴油/甲醇双燃料发动机耦合后处理系统的排放性能研究 [J]. 西安交通大学学报, 2022, 56(12): 12-22.

CHEN Zhiming, LIU Junheng, SUN Ping, et al. Experimental study on emission characteristics of diesel/methanol dual-fuel engine coupled with an after-treatment system [J]. Journal of Xi'an Jiaotong University, 2022, 56(12): 12-22.

LI Changhang, BAI Hongtao, LU Yuanye, et al. Life-cycle assessment for coal-based methanol production in China [J]. Journal of Cleaner Production, 2018, 188: 1004-1017.

BONFIM-ROCHA L, GIMENES M L, BERNARDO DE FARIA S H, et al. Multi-objective design of a new sustainable scenario for bio-methanol production in Brazil [J]. Journal of Cleaner Production, 2018, 187: 1043-1056.

YANG Sheng, LIU Zhiqiang, TANG Zhiyong, et al. Performance analysis of solar energy integrated with natural-gas-to-methanol process [J]. Energy Conversion and Management, 2017, 150: 375-381.

KIM S, KIM M, KIM Y T, et al. Techno-economic evaluation of the integrated polygeneration system of methanol, power and heat production from coke oven gas [J]. Energy Conversion and Management, 2019, 182: 240-250.

玄铁民, 孙中成, 李文豪, 等. 甲醇/正辛醇/加氢催化生物柴油单液滴蒸发与微爆特性研究 [J]. 西安交通大学学报, 2022, 56(1): 22-30, 119.

XUAN Tiemin, SUN Zhongcheng, LI Wenhao, et al. Experimental study on evaporation and micro-explosion characteristics of ternary blended droplets of methanol, HCB and n-Octanol [J]. Journal of Xi'an Jiaotong University, 2022, 56(1): 22-30, 119.

YAO Yuan, CHANG Yuan, HUANG Runze, et al. Environmental implications of the methanol economy in China: well-to-wheel comparison of energy and environmental emissions for different methanol fuel production pathways [J]. Journal of Cleaner Production, 2018, 172: 1381-1390.

CHENG Yi, WEI Fei, JIN Yong. Multiphase reactor engineering for clean and low-carbon energy applications [M]. Hoboken, NJ, USA: John Wiley Sons, Inc., 2017: 145-156.

王子宗, 王基铭, 刘洪谦. 甲醇制丙烯脱甲烷塔尾气回收技术 [J]. 华东理工大学学报(自然科学版), 2015, 41(5): 599-605.

WANG Zizong, WANG Jiming, LIU Hongqian. Demethanizer exhaust recovery technology of ethanol to propylene(MTP)device [J]. Journal of East China University of Science and Technology(Natural Science Edition), 2015, 41(5): 599-605.

张丹, 杨敏博, 冯霄. 循环流化床甲醇制芳烃分离工艺的模拟与改进 [J]. 华东理工大学学报(自然科学版), 2019, 45(5): 704-710.

ZHANG Dan, YANG Minbo, FENG Xiao. Simulation and improvement of separation process for aromatic hydrocarbons produced from methanol using circulating fluidized bed reactor [J]. Journal of East China University of Science and Technology, 2019, 45(5): 704-710.

隋红, 葛成荫, 李鑫钢. 页岩油冷凝回收油洗工艺模拟与优化 [J]. 化工进展, 2013, 32(7): 1519-1525, 1533.

SUI Hong, GE Chengyin, LI Xingang. Simulation and optimization of shale oil condensation and recovery by oil washing [J]. Chemical Industry and Engineering Progress, 2013, 32(7): 1519-1525, 1533.

YANG Minbo, ZENG Siying, FENG Xiao, et al. Simulation-based modeling and optimization for refinery hydrogen network integration with light hydrocarbon recovery [J]. International Journal of Hydrogen Energy, 2022, 47(7): 4662-4673.

SONG Wenlong, HOU Yilin, CHEN Zhaohui, et al. Process simulation of the syngas-to-aromatics processes: technical economics aspects [J]. Chemical Engineering Science, 2020, 212: 115328.

李国娜, 王赤宇, 周鹍, 等. 基于HYSYS的天然气轻烃回收仿真及优化 [J]. 现代化工, 2014, 34(10): 150-153.

LI Guona, WANG Chiyu, ZHOU Kun, et al. Simulation and optimization of light hydrocarbon recovery based on HYSYS [J]. Modern Chemical Industry, 2014, 34(10): 150-153.

LI Yajun, LUO Hao. Integration of light hydrocarbons cryogenic separation process in refinery based on LNG cold energy utilization [J]. Chemical Engineering Research and Design, 2015, 93: 632-639.

ZHANG Dan, YANG Minbo, FENG Xiao, et al. Integration of methanol aromatization with light hydrocarbon aromatization toward increasing aromatic yields: conceptual process designs and comparative analysis [J]. ACS Sustainable Chemistry Engineering, 2020, 8(30): 11376-11388.

ABOLPOUR B, MOHEBBI A. Optimization of the reflux ratio of benzene-toluene stage distillation columns by the Cuckoo algorithm [J]. Petroleum Science, 2014, 11(3): 446-453.

SERPA-FAJARDO J G, RUIZ-MENESES L E, HERNÁNDEZ-RAMOS E J. Optimization the continuous distillation process of an aqueous ethanol mixture [J]. International Journal of Applied Engineering Research, 2018, 13(16): 12983-12986.

CHEN Guizi, LU Yinghong, KRANTZ W B, et al. Optimization of operating conditions for a continuous membrane distillation crystallization process with zero salty water discharge [J]. Journal of Membrane Science, 2014, 450: 1-11.

LONG N V D, QYYUM M A, QADEER K, et al. Particle swarm optimization methodology for optimal distillation retrofit [J]. Journal of Chemical Engineering of Japan, 2019, 52(4): 333-341.

CHEN Zhaohui, HOU Yilin, YANG Yifeng, et al. A multi-stage fluidized bed strategy for the enhanced conversion of methanol into aromatics [J]. Chemical Engineering Science, 2019, 204: 1-8.

JIANG Jianrong, ZHANG Dan, FENG Xiao, et al. Process design and analysis of aromatics production from coal via methanol with a high yield [J]. Industrial Engineering Chemistry Research, 2021, 60(15): 5574-5587.

李广洋. DCC装置针对干气中C3含量超标原因分析与对策 [J]. 化工管理, 2020(4): 36-38.

中华人民共和国国家质量监督检验检疫总局, 中国国家标准化管理委员会. 液化石油气: GB 11174—2011[S]. 北京: 中国标准出版社, 2012.

国家市场监督管理总局, 国家标准化管理委员会. 戊烷发泡剂: GB/T 22053—2020[S]. 北京: 中国标准出版社, 2020.

陈诗瑶, 申峻, 王玉高, 等. 甲醇制芳烃的工艺流程模拟及换热网络优化 [J]. 洁净煤技术, 2022, 28(1): 129-137.

CHEN Shiyao, SHEN Jun, WANG Yugao, et al. Process flow simulation of methanol to aromatics and optimization of heat exchange network [J]. Clean Coal Technology, 2022, 28(1): 129-137.

浏览量

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

EBSILON软件在热电联产系统优化中的应用综述

面向高海拔空冷发电机防晕性能演化规律的电热耦合研究

冷库水平空气幕热湿阻隔性能数值模拟研究

超临界二氧化碳向心透平轮背间隙内风阻损失及流动特性研究

采用机器学习的大规模并行程序I/O性能建模与预测方法