Article(id=1221507475774296371, tenantId=1146029695717560320, journalId=1210938733613449225, issueId=1221507468635586855, articleNumber=null, orderNo=null, doi=10.19666/j.rlfd.202211282, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1668787200000, receivedDateStr=2022-11-19, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1769159676736, onlineDateStr=2026-01-23, pubDate=1687622400000, pubDateStr=2023-06-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1769159676736, onlineIssueDateStr=2026-01-23, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1769159676736, creator=13701087609, updateTime=1769159676736, updator=13701087609, issue=Issue{id=1221507468635586855, tenantId=1146029695717560320, journalId=1210938733613449225, year='2023', volume='52', issue='6', pageStart='1', pageEnd='172', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1769159675034, creator=13701087609, updateTime=1769166411362, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1221535722931216843, tenantId=1146029695717560320, journalId=1210938733613449225, issueId=1221507468635586855, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1221535722931216844, tenantId=1146029695717560320, journalId=1210938733613449225, issueId=1221507468635586855, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=119, endPage=126, ext={EN=ArticleExt(id=1221507476076286281, articleId=1221507475774296371, tenantId=1146029695717560320, journalId=1210938733613449225, language=EN, title=Study on optimization of supercritical carbon dioxide power cycle schemes in waste heat utilization, columnId=1221507470468497735, journalTitle=Thermal Power Generation, columnName=Characteristics research on S-CO2 cycle power generation system, runingTitle=null, highlight=null, articleAbstract=

Aiming at the problem of waste heat utilization of gas turbine, the technologies of intermediate cooling, intermediate reheating and split flow recompression were introduced into the supercritical carbon dioxide (S-CO2) power cycle with heat recovery and six cycle schemes were established. Taking the cycle efficiency and the cycle net output power of the S-CO2 cycle as the optimization objectives, the genetic algorithm was used to optimize the parameters of each scheme, and the earnings of optimization results were compared. The results show that the cycle efficiency can be improved in varying degrees by introducing one intermediate cooling, one intermediate reheat and one split flow recompression when the optimization goal is to maximize the cycle efficiency. The cycle efficiency of the sixth scheme that introduces one split flow recompression and one intermediate reheat is the highest, which reaches 43.29%. When the optimization goal is to maximize the net cycle output work, the introduction of primary intermediate cooling can increase the net output power, the introduction of primary intermediate reheating can reduce the net output power of the power cycle, and the one split recompression degenerates into no split scheme. The second scheme that introduces primary intermediate cooling has the largest net output power reaching 82 620.02 kW. When the cycle net output work is taken as the optimization objective, the economy of the six schemes is more advantageous because the waste heat utilization efficiency of gas turbine smoke exhaust is higher. The second scheme has the largest operating earnings in 20 years, which is RMB 5.065 billion.

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针对燃气轮机余热利用问题,以有回热的超临界二氧化碳(S-CO2)动力循环为基础,引入中间冷却、中间再热和分流再压缩技术,建立6种循环方案。分别以S-CO2动力循环的循环效率最高和循环净输出功最大为优化目标,采用遗传算法对各方案的参数进行优化,并对每个方案的优化结果进行经济性比较。结果表明:以循环效率最高为优化目标时,引入一次中间冷却、一次中间再热和一次分流再压缩都能不同程度提高循环效率,其中引入一次分流再压缩和一次中间再热的方案6循环效率最高,达到43.29%;以循环净输出功最大为优化目标时,引入一次中间冷却可以增大输出功,引入一次中间再热会减小S-CO2动力循环净输出功,而一次分流再压缩退化为无分流方案,其中引入一次中间冷却的方案2净输出功最大,为82 620.02 kW;6个方案的经济性均在以S-CO2动力循环净输出功最大为优化目标时更具优势,原因在于这种情况下对燃气轮机排烟的余热利用效率更高,其中方案2运行20年收益最大,为50.65亿元。

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郑莆燕(1972),女,博士,副教授,主要研究方向为电站热力系统、分布式供能系统和智能能源网的节能优化等,
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封康(1994),男,硕士研究生,主要研究方向为燃气轮机余热高效利用,

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封康(1994),男,硕士研究生,主要研究方向为燃气轮机余热高效利用,

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超临界二氧化碳动力循环余热利用方案优化研究
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封康 1 , 郑莆燕 1 , 仇中柱 1 , 张敬奎 1 , 孙永康 2 , 程云瑞 1 , 罗添 1 , 赵航 1
热力发电 | 超临界二氧化碳循环发电系统特性研究 2023,52(6): 119-126
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热力发电 | 超临界二氧化碳循环发电系统特性研究 2023, 52(6): 119-126
超临界二氧化碳动力循环余热利用方案优化研究
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封康1 , 郑莆燕1 , 仇中柱1, 张敬奎1, 孙永康2, 程云瑞1, 罗添1, 赵航1
作者信息
  • 1.上海电力大学能源与机械工程学院,上海 200120
  • 2.上海燃气工程设计研究有限公司,上海 200135
  • 封康(1994),男,硕士研究生,主要研究方向为燃气轮机余热高效利用,

通讯作者:

郑莆燕(1972),女,博士,副教授,主要研究方向为电站热力系统、分布式供能系统和智能能源网的节能优化等,
Study on optimization of supercritical carbon dioxide power cycle schemes in waste heat utilization
Kang FENG1 , Puyan ZHENG1 , Zhongzhu QIU1, Jingkui ZHANG1, Yongkang SUN2, Yunrui CHENG1, Tian LUO1, Hang ZHAO1
Affiliations
  • 1.College of Energy and Mechanical Engineering, Shanghai University of Electric Power, Shanghai 200120, China
  • 2.Shanghai Gas Engineering Design and Research Co., Ltd., Shanghai 200135, China
出版时间: 2023-06-25 doi: 10.19666/j.rlfd.202211282
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针对燃气轮机余热利用问题,以有回热的超临界二氧化碳(S-CO2)动力循环为基础,引入中间冷却、中间再热和分流再压缩技术,建立6种循环方案。分别以S-CO2动力循环的循环效率最高和循环净输出功最大为优化目标,采用遗传算法对各方案的参数进行优化,并对每个方案的优化结果进行经济性比较。结果表明:以循环效率最高为优化目标时,引入一次中间冷却、一次中间再热和一次分流再压缩都能不同程度提高循环效率,其中引入一次分流再压缩和一次中间再热的方案6循环效率最高,达到43.29%;以循环净输出功最大为优化目标时,引入一次中间冷却可以增大输出功,引入一次中间再热会减小S-CO2动力循环净输出功,而一次分流再压缩退化为无分流方案,其中引入一次中间冷却的方案2净输出功最大,为82 620.02 kW;6个方案的经济性均在以S-CO2动力循环净输出功最大为优化目标时更具优势,原因在于这种情况下对燃气轮机排烟的余热利用效率更高,其中方案2运行20年收益最大,为50.65亿元。

余热利用  /  超临界二氧化碳动力循环  /  参数优化  /  循环效率  /  净输出功  /  运行收益

Aiming at the problem of waste heat utilization of gas turbine, the technologies of intermediate cooling, intermediate reheating and split flow recompression were introduced into the supercritical carbon dioxide (S-CO2) power cycle with heat recovery and six cycle schemes were established. Taking the cycle efficiency and the cycle net output power of the S-CO2 cycle as the optimization objectives, the genetic algorithm was used to optimize the parameters of each scheme, and the earnings of optimization results were compared. The results show that the cycle efficiency can be improved in varying degrees by introducing one intermediate cooling, one intermediate reheat and one split flow recompression when the optimization goal is to maximize the cycle efficiency. The cycle efficiency of the sixth scheme that introduces one split flow recompression and one intermediate reheat is the highest, which reaches 43.29%. When the optimization goal is to maximize the net cycle output work, the introduction of primary intermediate cooling can increase the net output power, the introduction of primary intermediate reheating can reduce the net output power of the power cycle, and the one split recompression degenerates into no split scheme. The second scheme that introduces primary intermediate cooling has the largest net output power reaching 82 620.02 kW. When the cycle net output work is taken as the optimization objective, the economy of the six schemes is more advantageous because the waste heat utilization efficiency of gas turbine smoke exhaust is higher. The second scheme has the largest operating earnings in 20 years, which is RMB 5.065 billion.

waste heat utilization  /  supercritical carbon dioxide power cycle  /  parameter optimization  /  cycle efficiency  /  net output power  /  operating earnings
封康, 郑莆燕, 仇中柱, 张敬奎, 孙永康, 程云瑞, 罗添, 赵航. 超临界二氧化碳动力循环余热利用方案优化研究. 热力发电, 2023 , 52 (6) : 119 -126 . DOI: 10.19666/j.rlfd.202211282
Kang FENG, Puyan ZHENG, Zhongzhu QIU, Jingkui ZHANG, Yongkang SUN, Yunrui CHENG, Tian LUO, Hang ZHAO. Study on optimization of supercritical carbon dioxide power cycle schemes in waste heat utilization[J]. Thermal Power Generation, 2023 , 52 (6) : 119 -126 . DOI: 10.19666/j.rlfd.202211282
  • 上海市科学技术委员会项目(20DZ1205002)
2023年第52卷第6期
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doi: 10.19666/j.rlfd.202211282
  • 接收时间:2022-11-19
  • 首发时间:2026-01-23
  • 出版时间:2023-06-25
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  • 收稿日期:2022-11-19
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Science and Technology Commission of Shanghai Municipality(20DZ1205002)
上海市科学技术委员会项目(20DZ1205002)
作者信息
    1.上海电力大学能源与机械工程学院,上海 200120
    2.上海燃气工程设计研究有限公司,上海 200135

通讯作者:

郑莆燕(1972),女,博士,副教授,主要研究方向为电站热力系统、分布式供能系统和智能能源网的节能优化等,
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https://castjournals.cast.org.cn/joweb/rlfd/CN/10.19666/j.rlfd.202211282
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2种不同金属材料的力学参数

Family
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Number of
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种数
Number of
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种数
Number of
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Percentage of total
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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