摘要
本文采用Ebsilon软件对超临界二氧化碳布雷顿循环600 MW燃煤发电系统进行仿真研究,分析该系统主压缩机入口/出口压力、再热透平入口压力、压缩分流系数以及主/再热气温对其热力学性能的影响。研究结果表明:系统发电功率和循环效率随主/再热气温的提升而升高;主压缩机入口和出口压力存在最佳值;系统循环效率受压缩分流系数的影响较大,压缩机的总耗功量随压缩分流系数的升高而增大,导致系统发电功率降低;再热透平入口压力对系统循环效率影响较小。通过遗传算法对发电系统多参数进行优化可得,当主压缩机入口及出口压力分别为7.94、30.94 MPa,再热透平入口压力和压缩分流系数分别为17.88 MPa和0.30时,系统循环效率最高可达48.89%。
By using the Ebsilon software,simulation research on 600 MW supercritical carbon dioxide(S-CO2)Brayton cycle coal-fired power generation system is carried out.The effects of inlet/outlet pressure of main compressor,inlet pressure of reheat turbine,compression shunt coefficient and main/reheat steam temperature on thermodynamic performance of the system are analyzed.The results show that,the generation power and cycle efficiency of the system increase with the main and reheat steam temperature.There exists an optical value for the inlet and outlet pressure of the main compressor.The cycle efficiency of the system is greatly affected by the compression shunt coefficient,and the total power consumption of the compressor increases with the compression shunt coefficient,which results in a decrease in the power generation of the system.The influence of reheat turbine inlet pressure on the system cycle efficiency is little.Genetic algorithm is employed to optimize multiple parameters of the power generation system,and the results show that,when the inlet and outlet pressures of the main compressor are 7.94 MPa and 30.94 MPa,and the inlet pressure of the reheat turbine and compression splitting coefficient are 17.88 MPa and 0.30 respectively,the maximum cycle efficiency of the system can reach up to 48.89%.
作者
王为术
黄志豪
赵世飞
陈昌
姚紫琨
WANG Weishu;HUANG Zhihao;ZHAO Shifei;CHEN Chang;YAO Zikun(Institute of Thermal Energy Engineering,North China University of Water Resources and Electric Power,Zhengzhou 450045,China)
出处
《热力发电》
CAS
北大核心
2020年第10期101-106,共6页
Thermal Power Generation
基金
河南省科技创新人才计划(154100510011)。
关键词
超临界二氧化碳
布雷顿循环
热力学性能
循环效率
发电功率
仿真
supercritical carbon dioxide
Brayton cycle
thermodynamic performance
cycle efficiency
generation power
simulation