摘要
本文研究了以超临界CO_(2)布雷登循环为原动机的热电联供系统,对系统主要运行参数进行了分析,得到运行参数对于系统热力学性能和经济性能的影响规律。同时,以一次能源利用率和单位输出成本作为目标函数,采用多目标遗传算法对系统进行了优化;在优化结果的基础上,通过TOPSIS法决策出最优解,并与单目标最优解进行对比。结果表明,透平进口温度、透平进口压力和压缩机进口温度的增大有利于系统效率的提高;作为代价,成本也相应增加。在热电比0~4范围内,尽可能增大热电比能够最大程度上降低系统的单位输出成本,提高能源的利用率。
In this paper,a cogeneration system with a supercritical CO_(2) Brayton cycle unit as the prime mover is studied.The main operating parameters of the system are analyzed to obtain their influences on system thermodynamic and economic performances.In addition,the system is optimized by using multi-objective genetic algorithm with the primary energy ratio and the total product unit cost as objective functions.Based on the optimization outcomes,the optimal solution is determined by TOPSIS method and compared with the single-objective optimal solution.Results demonstrate that an increase in turbine inlet temperature,turbine inlet pressure,and compressor inlet temperature is beneficial to the improvement of system efficiency;as a price,the cost rises accordingly.Within the heating to power ratio range of 0~4,as far as possible to increase it can reduce the total product unit cost of the system to the greatest extent and improve the utilization of energy.
作者
杨怡萍
姜培学
祝银海
YANG Yi-Ping;JIANG Pei-Xue;ZHU Yin-Hai(Key Laboratory for Thermal Science and Power Engineering of M inistry of Education,Department of Energy and Power Engineering,Tsinghua University,Beijing 100084,China)
出处
《工程热物理学报》
EI
CAS
CSCD
北大核心
2021年第4期817-823,共7页
Journal of Engineering Thermophysics
基金
国家自然科学基金项目(No.51922060)
清华大学山西清洁能源研究院种子基金。
关键词
超临界CO_(2)布雷登循环
热电联供系统
多目标遗传算法
热力学性能
经济性能
supercritical CO2 Brayton cycle
combined heating and power system
multi-objective genetic algorithm
thermodynamic performance
economic performance
