热能动力工程2024,Vol.39Issue(7) :90-99.DOI:10.16146/j.cnki.rndlgc.2024.07.011

燃气轮机-超临界二氧化碳联合循环热力学及经济性能分析

Analysis of Thermodynamics and Economic Performance of Gas Turbine-sCO2 Combined Cycle

任鑫 王渡 薛慕婕 王志刚
热能动力工程2024,Vol.39Issue(7) :90-99.DOI:10.16146/j.cnki.rndlgc.2024.07.011

燃气轮机-超临界二氧化碳联合循环热力学及经济性能分析

Analysis of Thermodynamics and Economic Performance of Gas Turbine-sCO2 Combined Cycle

任鑫 1王渡 1薛慕婕 1王志刚1
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作者信息

  • 1. 上海电力大学能源与机械工程学院,上海 200090
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摘要

为深入分析由燃气轮机机组和sCO2循环组成的联合循环的关键参数对系统性能及经济性的影响,建立了燃气轮机-sCO2联合循环的热力学模型和经济性模型.从热力学和经济性两个角度,对关键参数进行敏感性分析.以㶲效率最高或平准化电力成本最低为目标,利用遗传算法对系统关键参数进行优化.结果表明:提高高温sCO2透平入口温度和sCO2循环流量、降低sCO2压缩机入口温度和分流比均能够提高系统㶲效率;上述关键参数均存在一个最佳值使系统的平准化电力成本最低;当天然气价格为4 $/GJ时,优化后系统净功率最高为463.4 MW,㶲效率最高为54.67%,单位装机容量投资成本最低为347.16 $/kW,平准化电力成本最低为35.92 $/(MW·h).

Abstract

To deeply analyze the influence of key parameters of the combined cycle consisting of a gas turbine unit and a sCO2 cycle on the system performance and economy,a thermodynamic model and an e-conomic model of the gas turbine-sCO2 combined cycle were established.Sensitivity analysis of the key parameters was carried out from both thermodynamic and economic perspectives.With the objective of the highest exergy efficiency or the lowest levelized cost of electricity,the key parameters of the system were optimized using a genetic algorithm.The results show that increasing the high-temperature sCO2 turbine inlet temperature and mass flow rate of the sCO2 cycle,and decreasing the sCO2 compressor inlet temper-ature and split ratio can increase the exergy efficiency of the system;there exists an optimal value of each of the above key parameters to minimize the levelized cost of electricity of the system;when the price of natural gas is 4 $/GJ,the optimized system has the highest net power of 463.4 MW,the highest exergy efficiency of 54.67%,the lowest investment cost per unit of installed capacity of 347.16 $/kW,and the lowest levelized cost of electricity is 35.92 $/(MW·h).

关键词

燃气轮机/超临界二氧化碳循环/联合循环/㶲效率/平准化电力成本

Key words

gas turbine/sCO2 cycle/combined cycle/exergy efficiency/levelized cost of electricity

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基金项目

国家自然科学基金(52076126)

出版年

2024
热能动力工程
中国 哈尔滨 第七0三研究所

热能动力工程

CSTPCD北大核心
影响因子:0.345
ISSN:1001-2060
参考文献量1
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