摘要
针对应用于第四代气冷堆的超临界二氧化碳再压缩循环系统进行了优化研究。通过建立完善的热力学及㶲经济性模型,并根据核电模块化的需求引入空间紧凑性指标,从热力学性能、空间紧凑性、㶲经济性能等多个维度对超临界二氧化碳再压缩循环系统开展研究,分析了关键参数对超临界二氧化碳再压缩循环系统性能的影响,并进一步开展了多目标优化以提高系统的适用性。结果表明:通过多目标优化研究,循环的综合性能得到提升,多目标优化得到的最优点的㶲效率、单位功率成本率和单位功率换热面积分别为71.5%、3.11美分/(kW·h)和0.191 m^(2)/kW。
Optimization research was conducted on supercritical carbon dioxide recompression cycle system applied to the fourth generation gas-cooled reactor.By establishing a comprehensive thermodynamic and exergoeconomic model,and introducing spatial compactness indicators based on the demand for nuclear power modularization,a study was conducted on supercritical carbon dioxide recompression cycle system from multiple dimensions such as thermodynamic performance,spatial compactness,and exergoeconomic performance.Impact of key parameters on the performance of supercritical carbon dioxide recompression cycle system was analyzed,and further multi-objective optimization was carried out to improve the applicability of the system.Results show that through multi-objective optimization,the comprehensive performance of the cycle is improved,and the optimal exergy efficiency,unit power cost rate,and required heat exchange area per unit output power are 71.5%,3.11 cent/(kW·h),and 0.191 m^(2)/kW,respectively.
作者
侯胜亚
薛松松
杨其国
HOU Shengya;XUE Songsong;YANG Qiguo(School of Energy and Power Engineering,University of Shanghai for Science and Technology,Shanghai 200093)
出处
《动力工程学报》
CAS
CSCD
北大核心
2024年第6期984-990,共7页
Journal of Chinese Society of Power Engineering
关键词
核能利用
超临界二氧化碳
㶲经济性
再压缩循环
多目标优化
nuclear energy utilization
supercritical carbon dioxide
exergoeconomic
recompression cycle
multi-objective optimization