化工学报 ›› 2019, Vol. 70 ›› Issue (2): 772-779.DOI: 10.11949/j.issn.0438-1157.20181044

• 过程系统工程 • 上一篇    下一篇

集成CO2高效利用的煤制乙二醇过程设计与系统分析

朱顺(),郭琦,张大伟,杨庆春()   

  1. 合肥工业大学化学与化工学院,安徽 合肥 230009
  • 收稿日期:2018-09-17 修回日期:2018-10-16 出版日期:2019-02-05 发布日期:2019-02-05
  • 通讯作者: 杨庆春
  • 作者简介:<named-content content-type="corresp-name">朱顺</named-content>(1995—),男,硕士研究生,<email>zhushun0825@163.com</email>|杨庆春(1990—),男,博士,讲师,<email>ceqcyang@hfut.edu.cn</email>
  • 基金资助:
    中央高校基本科研业务费专项资金(JZ2018HGTA0278);国家自然科学基金项目(51472070)

Conceptual design and system analysis coal to ethylene glycol process integrated with efficient utilization of CO2

Shun ZHU(),Qi GUO,Dawei ZHANG,Qingchun YANG()   

  1. School of Chemistry and Chemical Engineering, Hefei University of Technology, Hefei 230009, Anhui, China
  • Received:2018-09-17 Revised:2018-10-16 Online:2019-02-05 Published:2019-02-05
  • Contact: Qingchun YANG

摘要:

为减少传统煤制乙二醇过程资源利用效率低和CO2排放量高等问题,提出了一种集成CO2高效利用的煤制乙二醇过程,并对其进行了全流程建模及系统分析。与传统过程不同,新过程利用焦炉气来提高其资源利用率和能量效率,集成甲烷干重整与湿重整技术降低CO2排放。在全流程建模的基础之上,对新工艺的关键操作参数进行了分析与优化。结果表明,焦炉气的最佳进料比和甲烷蒸汽重整反应的分配比为0.68和0.74。与传统过程相比,新工艺的CO2排放降低了94.05%,同时?效率提高了15.17%。

关键词: 煤制乙二醇, 焦炉气, 二氧化碳, 优化设计, ?

Abstract:

In the momentum of reducing CO2 emission of coal to ethylene glycol process, a novel carbon dioxide utilized coal to ethylene glycol (CUCtEG) process is proposed, simulated, and optimized. The novel process is assisted with coke oven gas to enhance resource and energy efficiencies as well as reduce CO2 emission by integrating with dry/steam-mixed methane reforming technologies. Based on the rigorous steady-state simulation of the process, key operational parameters of the novel process are investigated and optimized. The optimal feed ratio of coke oven gas to coal and the split ratio of that for steam methane reforming reaction are 0.68 and 0.74. Compared with the traditional process, the CO2 emission of the new process is reduced by 94.05%, and the exergy efficiency is increased by 15.17%.

Key words: coal to ethylene glycol, coke oven gas, carbon dioxide, optimal design, exergy

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