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Dynamic modelling of CO_2 absorption for post combustion capture in coal-fired power plants

机译：燃煤电厂燃烧后捕集CO_2吸收的动态模型

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摘要

Power generation from fossil fuel-fired power plants is the largest single source of CO_2 emissions. Post combustion capture via chemical absorption is viewed as the most mature CO_2 capture technique. This paper presents a study of the post combustion CO_2 capture with monoethanolamine (MEA) based on dynamic modelling of the process. The aims of the project were to compare two different approaches (the equilibrium-based approach versus the rate-based approach) in modelling the absorber dynamically and to understand the dynamic behaviour of the absorber during part load operation and with disturbances from the stripper. A powerful modelling and simulation tool gPROMS was chosen to implement the proposed work. The study indicates that the rate-based model gives a better prediction of the chemical absorption process than the equilibrium-based model. The dynamic simulation of the absorber indicates normal absorber column operation could be maintained during part load operation by maintaining the ratio of the flow rates of the lean solvent and flue gas to the absorber. Disturbances in the CO_2 loading of the lean solvent to the absorber significantly affect absorber performance. Further work will extend the dynamic modelling to the stripper for whole plant analysis.
机译：化石燃料发电厂的发电是最大的CO_2单一排放源。通过化学吸收进行燃烧后捕集被认为是最成熟的CO_2捕集技术。本文基于过程的动态建模，对单乙醇胺（MEA）燃烧后CO_2捕集进行了研究。该项目的目的是在动态地对吸收器进行建模时，比较两种不同的方法（基于平衡的方法与基于速率的方法），并了解在部分负荷运行过程中吸收器的动态行为以及汽提塔的干扰。选择了功能强大的建模和仿真工具gPROMS来完成所建议的工作。研究表明，基于速率的模型比基于平衡的模型能够更好地预测化学吸收过程。吸收塔的动态模拟表明，在部分负荷运行期间，通过维持贫溶剂和烟道气与吸收塔的流量比，可以保持正常的吸收塔运行。贫溶剂向吸收塔吸收CO_2的干扰显着影响吸收塔的性能。进一步的工作将把动态建模扩展到汽提塔进行全厂分析。

著录项

  • 来源
    《Fuel》 |2009年第12期|2455-2462|共8页
  • 作者

    A. Lawal; M. Wang; P. Stephenson; H. Yeung;

  • 作者单位

    Process Systems Engineering Group, School of Engineering, Cranfield University, Bedfordshire, MK43 0AL, UK;

    Process Systems Engineering Group, School of Engineering, Cranfield University, Bedfordshire, MK43 0AL, UK;

    RWE npower. Windmill Park, Swindon, SN5 6PB, UK;

    Process Systems Engineering Group, School of Engineering, Cranfield University, Bedfordshire, MK43 0AL, UK;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    CO_2 capture; chemical absorption; dynamic modelling; coal-fired power plant;

    机译：二氧化碳捕获;化学吸收动态建模燃煤电厂;

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