华电技术 ›› 2010, Vol. 32 ›› Issue (10): 21-24.

• 研究与开发 • 上一篇    下一篇

燃煤电厂醇胺吸收法脱碳系统流程的模拟及优化

庄荣1 ,梁海文2   

  1. 1.华电电力科学研究院,浙江杭州310030; 2.东南大学能源与环境学院,江苏南京210096
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2010-10-25 发布日期:2010-10-25

Simulation and optimization of CO2 removal system using MEA absorption in coalfired power plant

ZHUANG Rong1,LIANG Haiwen2   

  1. 1.Huadian Electric Power Science Research Institute,Hangzhou 310030, China; 2.School of Energy & Environment, Southeast University,Nanjing 210096, China
  • Received:1900-01-01 Revised:1900-01-01 Online:2010-10-25 Published:2010-10-25

摘要: 采用一乙醇胺(MEA)吸收法进行烟气脱碳是比较成熟的技术,但也存在着再生能耗大的问题,影响其在燃煤电厂中的大规模应用,因而需要对脱碳流程进行优化。以430MW机组为研究对象,利用ASPEN PLUS仿真软件对MEA吸收法燃煤电厂烟气脱碳流程进行了模拟,优化了脱碳流程及贫液负荷率、再生塔压力、再生塔入口温度、捕获率等关键参数。仿真结果表明,经过合理优化可以有效降低再生能耗和物质消耗,从而降低脱碳成本。仿真结果与文献中的结果对比表明,利用ASPEN PLUS模拟的脱碳系统结果数据是准确、可靠的。

关键词: 一乙醇胺, 脱碳系统, ASPEN, PLUS, 流程优化

Abstract: Capturing CO2 from flue gas using monoethanolamine (MEA) absorption is a relatively mature technology at present. However, the existing problems, such as the high energy consumption in regeneration, hinder its largescale application in coalfired power plant. Thus, it is necessary to optimize the CO2 removal process flow to lower CO2 capture cost. Taking the CO2 removal system of a 430MW unit as research object, using ASPEN PLUS simulation software, the flue gas CO2 removal process with the MEA absorption in coalfired power plant was simulated. The CO2 removal process flow and some important parameters, such as the CO2 loading of lean solution, the pressure of the regeneration tower, the inlet temperature of the regeneration tower and the CO2 captured rate, were optimized. The simulation result shows that rational optimization can decrease the energy consumption and the material consumption in regeneration and then reduce the CO2 removal cost. The comparison of the simulation results with the results of published literatures shows that the result data of the CO2 removal system obtained by ASPEN PLUS simulation were exact and reliable. 

Key words: mono-ethanolamine (MEA), CO2 removal system, ASPEN PLUS, process flow optimization