王珺瑶, 付建欣, 曾雪兰, 邓帅, 赵军. 基于gCCS的醇胺法碳捕集中试平台动态仿真研究[J]. 中国电机工程学报, 2021, 41(18): 6340-6349. DOI: 10.13334/j.0258-8013.pcsee.201642
引用本文: 王珺瑶, 付建欣, 曾雪兰, 邓帅, 赵军. 基于gCCS的醇胺法碳捕集中试平台动态仿真研究[J]. 中国电机工程学报, 2021, 41(18): 6340-6349. DOI: 10.13334/j.0258-8013.pcsee.201642
WANG Junyao, FU Jianxin, ZENG Xuelan, DENG Shuai, ZHAO Jun. Research on Dynamic Modelling of Amine-based Carbon Capture Pilot Plant Based on gCCS[J]. Proceedings of the CSEE, 2021, 41(18): 6340-6349. DOI: 10.13334/j.0258-8013.pcsee.201642
Citation: WANG Junyao, FU Jianxin, ZENG Xuelan, DENG Shuai, ZHAO Jun. Research on Dynamic Modelling of Amine-based Carbon Capture Pilot Plant Based on gCCS[J]. Proceedings of the CSEE, 2021, 41(18): 6340-6349. DOI: 10.13334/j.0258-8013.pcsee.201642

基于gCCS的醇胺法碳捕集中试平台动态仿真研究

Research on Dynamic Modelling of Amine-based Carbon Capture Pilot Plant Based on gCCS

  • 摘要: 燃烧后碳捕集电厂的灵活运行能够有效降低碳捕集电厂的能耗和运行成本。掌握碳捕集系统的动态运行特性是碳捕集电厂实现灵活运行的必要条件,但现有针对醇胺法碳捕集系统动态特性的研究尚处于起步阶段,缺乏基于动态试验数据和动态仿真模拟的综合性研究。基于布林迪西(Brindisi)燃煤电站尾部碳捕集系统动态运行试验数据,应用gCCS仿真模拟平台,建立碳捕集能力为50t CO2/day的Brindisi醇胺法脱碳系统动态模型,并基于稳态和动态试验数据对模型进行验证。在此基础上研究了烟气流量阶跃变化、吸收溶液流量阶跃变化、以及再沸器蒸汽流量和吸收溶液流量发生阶跃变化3种动态情景下的脱碳系统关键参数动态响应特征。结果表明,稳态运行条件下吸收塔温度分布平均误差为4.37%~8.75%。动态运行条件下,gCCS模型能够较好的预测关键运行参数变化趋势,gCCS动态仿真模型关键参数动态响应时间与Brindisi脱碳系统溶液循环时间具有较好的一致性。液气比(L/G)是决定吸收塔温度分布以及二氧化碳捕集率和捕集能耗的关键参数,因此保持液气比为定值有利于系统碳捕集率以及碳捕集能耗的稳定。

     

    Abstract: Flexible operation is an effective strategy to reduce the energy consumption and operation cost for post-combustion carbon capture power plant. A good understanding of the dynamic operating characteristics for carbon capture plants is fundamental for the flexible operation of carbon capture power plant. However, the existing research on the dynamic characteristics of amine-based carbon capture systems is still in its infancy, and there is a lack of research combining experimental data and dynamic modelling. Based on the test data of the Brindisi carbon capture system, a dynamic model of Brindisi carbon capture plant with 50 t CO2/day carbon capture capacity was developed with gCCS software and further verified against both steady and dynamic operation test data. The dynamic response of key parameters under three dynamic scenarios are studied, i.e., the step-change in flue gas flowrate, step-change in solvent flowrate, and step-change in both reboiler steam flowrate and solvent flowrate. Results show that the average error of the temperature distribution of the absorption tower under steady-state operation is 4.37%-8.75%. Under dynamic operating conditions, the gCCS model can predict the changing trend of key parameters well and the dynamic response time of the key parameters has good consistency with the solution circulation time of the Brindisi system. In addition, liquid-gas ratio (L/G) is a key parameter that determines the temperature distribution of the absorption tower, as well as the CO2 capture rate and duty. Therefore, keeping the L/G ratio at a constant value is beneficial to stabilizing the system.

     

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