摘要
使用EBSILON软件对100 MW超临界二氧化碳布雷顿循环发电系统进行仿真研究,选择以分流再压缩与再热耦合作为循环方式,讨论了关键参数包括压缩机入口压力、压缩机出口压力、再热透平入口压力、压缩机分流比对系统循环效率的影响。研究结果表明:主压缩入口压力、主压缩机出口压力、分流比、再热压力对系统循环效率有较大影响。最后使用遗传算法进行全局优化,找到了最高循环效率点的最佳关键参数。
The 100 MW supercritical carbon dioxide Brayton cycle power generation system is simulated by using Ebsilon software with the coupling of split recompression and reheat selected as the cycle mode.The effects of key parameters are discussed,including the compressor inlet pressure,the compressor outlet pressure,the reheat turbine inlet pressure and the compressor split ratio on the cycle efficiency of the system.The results show that the inlet pressure of main compressor,the outlet pressure of main compressor,the split ratio and the reheat pressure have a great influence on the cycle efficiency of the system.Finally,genetic algorithm is used for global optimization to find the best key parameters to achieve the highest circulation efficiency.
作者
代浩
吕丽霞
DAI Hao;LV Lixia(School of Control and Computer Engineering,North China Electric Power University,Baoding 071003,China)
出处
《电力科学与工程》
2021年第12期57-64,共8页
Electric Power Science and Engineering
关键词
超临界二氧化碳
再压缩再热
关键参数
遗传算法
supercritical carbon dioxide
recompression reheat
key parameters
genetic algorithm