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吸附碳泵循环构建与能耗分析:从热力学角度

Cycle Construction and Energy-consumption Analysis on Adsorption Carbon Pump:Lessons Learned From Thermodynamics
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摘要 从热力学角度审视制约吸附法碳捕集技术推广和工业化应用的能耗问题,其实质是对捕集过程中能量在不同形式之间转换机制的深入认识问题.应用热力学中的"循环"这一成熟概念和衍生工具,对能量转换问题展开专题分析应是恰当的。本文基于热力学碳泵概念,从热力学角度进行吸附碳泵循环的构建与能耗分析,将碳捕集能耗分析模型具化至循环层面。从热力学第一定律角度,基于无限碳源、汇假设,定义工作于碳源、汇之间的吸附碳泵循环,形成抽象模型求解理想功耗及循环COPCO2,与混合气体分离模型(MGS)分析结果进行对比,并分析关键循环参数的影响;从热力学第二定律角度,基于状态点过程解耦方法"白箱化"吸附碳泵循环中具体过程,形成具体模型分析循环中熵增、熵产机制,证实优化传热过程、提升吸附剂性能作为有效降低能耗策略在热力学层面的恰当性。 Considering that the carbon capture technology is still restricted by the high energy consumption,in which the conversion between different kinds of energy needs to be clarified with thermodynamic method.The concept of thermodynamic cycle was applied in this paper based on thermodynamic carbon pump,the energy-consumption process of temperature swing adsorption(TSA)carbon capture technology was researched.In the perspective of the first-law,the ideal work consumption and COPCO2 were defined with the adsorption carbon pump cycle established between the infinite carbon source and sink,which were compared with the results of mixture gas separation(MGS)model.The effects from necessary cyclic parameters on performance were also researched in this aspect.In the perspective of the second-law,the entropy increase and generation were calculated with the process decoupling method applied in the thermodynamic cycle.The reasonable energy-saving method was proposed in this aspect.
作者 李双俊 邓帅 赵睿恺 赵力 许伟聪 LI Shuang-Jun;DENG Shuai;ZHAO Rui-Kai;ZHAO Li;XU Wei-Cong(Key Laboratory of Efficient Utilization of Low and Medium Grade Energy,Tianjin University,Tianjin 300350,China;International cooperation research centre of carbon capture in ultra-low energy-consumption,Tianjin 300350,China)
出处 《工程热物理学报》 EI CAS CSCD 北大核心 2020年第2期313-319,共7页 Journal of Engineering Thermophysics
基金 国家自然科学基金面上项目(No.51876134) 天津市技术创新引导专项“一带一路”技术合作研发及产业化项目(No.18YDYGHZ00090) 天津市人才发展特殊支持计划高层次创新创业团队项目
关键词 吸附 碳捕集 热力学碳泵 理想功耗 熵产 adsorption carbon capture thermodynamic carbon pump ideal work consumption entropy generation
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