摘要
为研究耦合超临界二氧化碳循环的压缩空气储能冷热电联供系统特性,以循环效率、[火用]效率、度电成本及度电综合环境效应指数为指标,对所提出系统进行综合性能分析与参数分析,并将其与传统压缩空气储能系统进行对比。基于遗传算法,构建2个多目标函数组合,对所提出系统展开多目标优化。结果表明:相比传统压缩空气储能系统,所提出系统的循环效率及效率分别提升12.89%和5.37%,度电成本及度电综合环境效应指数分别降低0.32美分/(kW·h)及2.50;随着低压燃气透平进口压力的升高,循环效率、[火用]效率、度电成本的变化均存在拐点;组合(1)对应的最优循环效率、[火用]效率及度电成本分别为61.90%、52.77%和6.36美分/(kW·h);组合(2)对应的最优?效率、度电成本及度电综合环境效应指数分别为52.71%、6.35美分/(kW·h)和84.53。
In order to study the characteristics of a combined cooling,heating and power system with compressed air energy storage coupled with a supercritical carbon dioxide cycle,the comprehensive performance and parameters of the proposed system were analyzed by taking the cycle efficiency,exergy efficiency,levelized cost of electricity and index of levelized comprehensive environmental effect as performance criteria.The proposed system was compared with a traditional compressed air energy storage system.Based on non-dominated sorting genetic algorithm-II(NSGA-II),two multi-objective function combinations were constructed to optimize the system.Results show that compared with the traditional compressed air energy storage system,the cycle efficiency and exergy efficiency of the proposed system are increased by 12.89%and 5.37%,and the levelized cost of electricity and index of levelized comprehensive environmental effect are decreased by 0.32 cent/(kW·h)and 2.50.With the increase of the inlet pressure of the low-pressure gas turbine,there are inflection points in the changing trends of the cycle efficiency,exergy efficiency,and levelized cost of electricity.The optimal cycle efficiency,exergy efficiency and levelized cost of electricity corresponding to combination(1)are 61.90%,52.77%and 6.36 cent/(kW·h)respectively.The optimal exergy efficiency,levelized cost of electricity,and index of levelized comprehensive environmental effect corresponding to combination(2)are 52.71%,6.35 cent/(kW·h)and 84.53 respectively.
作者
冉鹏
张森
王亚瑟
李政
赵广辉
RAN Peng;ZHANG Sen;WANG Yase;LI Zheng;ZHAO Guanghui(School of Energy,Power and Mechanical Engineering,North China Electric Power University,Baoding 071003,Hebei Province,China;Hebei Province Key Laboratory of Low-carbon and Efficient Power Generation Technology,North China Electric Power University,Baoding 071003,Hebei Province,China;Department of Energy and Power Engineering,Tsinghua University,Beijing 100084,China;Zhongshan Jiaming Power Co.,Ltd.,Zhongshan 528400,Guangdong Province,China)
出处
《动力工程学报》
CAS
CSCD
北大核心
2022年第11期1077-1088,共12页
Journal of Chinese Society of Power Engineering
基金
国家自然科学基金资助项目(51506052)。
关键词
压缩空气储能
超临界二氧化碳循环
冷热电联供
性能分析
多目标优化
compressed air energy storage
supercritical carbon dioxide cycle
combined cooling
heating and power supply
performance analysis
multi-objective optimization