Article(id=1222493247033823282, tenantId=1146029695717560320, journalId=1210938733613449225, issueId=1222493244286558340, articleNumber=null, orderNo=null, doi=10.19666/j.rlfd.202304059, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1681747200000, receivedDateStr=2023-04-18, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1769394702919, onlineDateStr=2026-01-26, pubDate=1692892800000, pubDateStr=2023-08-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1769394702919, onlineIssueDateStr=2026-01-26, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1769394702919, creator=13701087609, updateTime=1769394702919, updator=13701087609, issue=Issue{id=1222493244286558340, tenantId=1146029695717560320, journalId=1210938733613449225, year='2023', volume='52', issue='8', pageStart='1', pageEnd='196', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1769394702264, creator=13701087609, updateTime=1769394819736, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1222493737050169898, tenantId=1146029695717560320, journalId=1210938733613449225, issueId=1222493244286558340, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1222493737050169899, tenantId=1146029695717560320, journalId=1210938733613449225, issueId=1222493244286558340, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=40, endPage=50, ext={EN=ArticleExt(id=1222493247293870133, articleId=1222493247033823282, tenantId=1146029695717560320, journalId=1210938733613449225, language=EN, title=Thermal performance analysis of the coupled system of cogeneration unit and liquid carbon dioxide energy storage system, columnId=1211002405299294959, journalTitle=Thermal Power Generation, columnName=Thermal energy science research, runingTitle=null, highlight=null, articleAbstract=

Coupled with the energy storage system can improve the peak shaving capacity of the thermal power unit. To improve the thermoelectric decoupling ability of the combined heat and power unit, a coupled thermal power plant combined heat and power unit with liquid carbon dioxide energy storage system is proposed. The system utilizes the condensate to recover the compression heat of the carbon dioxide during the charge process, and supplies heat to the users together with the heating extraction steam. Besides, the heating extraction steam is employed to preheat the carbon dioxide of the expander inlet during the discharge process. Based on the established thermodynamic models, the thermal performance analysis of the coupled system was carried out with the thermal efficiency, exergy efficiency, and electricity storage efficiency as assessment criteria. The sensitivity analysis results indicate that increasing both the expander inlet temperature and the discharge pressure can obtain a higher system exergy efficiency and electricity storage efficiency; increasing the charge pressure results in a higher system thermal efficiency, while the exergy efficiency first increases and then decreases. The parameter optimization of the corresponding CO2 energy storage system was carried out under the design parameters. Results show that when the charge pressure is 10.5 MPa and the discharge pressure is 18.0 MPa, the coupled system achieves the optimal efficiency of 64.92%.

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煤电机组耦合储能系统可以提升机组的调峰能力。为提高热电联产机组的热电解耦能力,提出一种火电厂热电联产机组与液态CO2储能耦合系统。该系统利用凝结水收集储能过程中CO2压缩热,并与供热抽汽共同向用户供热,同时利用供热抽汽预热释能过程中膨胀机入口CO2。基于建立的系统热力学模型,以耦合系统热效率、㶲效率和储能系统电-电效率为评价指标,开展了系统热力性能分析。敏感性分析结果表明:增大膨胀机入口温度和释能压力都可以获得更高的系统㶲效率和电-电效率;增大储能压力可以获得更高的系统热效率,㶲效率则先升高后降低。在设定参数下对相应CO2储能系统进行参数优化。结果表明:当储能压力约为10.5 MPa、释能压力约为18.0 MPa时,耦合系统取得最优㶲效率为64.92%。

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王妍(1991),女,硕士,工程师,主要研究方向为煤电机组节能减排、供热及灵活性技术,

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王妍(1991),女,硕士,工程师,主要研究方向为煤电机组节能减排、供热及灵活性技术,

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王妍(1991),女,硕士,工程师,主要研究方向为煤电机组节能减排、供热及灵活性技术,

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火电厂热电联产机组与液态CO2储能耦合系统热力性能分析
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王妍 1, 2 , 王洋 3 , 吕凯 1, 2 , 郑郝 3 , 金森 3 , 俞骏 3 , 邹莹 4 , 马汀山 1, 2
热力发电 | 热能科学研究 2023,52(8): 40-50
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热力发电 | 热能科学研究 2023, 52(8): 40-50
火电厂热电联产机组与液态CO2储能耦合系统热力性能分析
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王妍1, 2 , 王洋3, 吕凯1, 2, 郑郝3, 金森3, 俞骏3, 邹莹4, 马汀山1, 2
作者信息
  • 1.西安热工研究院有限公司,陕西 西安 710054
  • 2.西安西热节能技术有限公司,陕西 西安 710054
  • 3.中国华能集团有限公司,北京 100031
  • 4.西安交通大学外语学院,陕西 西安 710049
  • 王妍(1991),女,硕士,工程师,主要研究方向为煤电机组节能减排、供热及灵活性技术,

Thermal performance analysis of the coupled system of cogeneration unit and liquid carbon dioxide energy storage system
Yan WANG1, 2 , Yang WANG3, Kai LYU1, 2, Hao ZHENG3, Sen JIN3, Jun YU3, Ying ZOU4, Tingshan MA1, 2
Affiliations
  • 1.Xi'an Thermal Power Research Institute Co., Ltd., Xi'an 710054, China
  • 2.Xi'an TPRI Energy Conservation Technology Co., Ltd., Xi'an 710054, China
  • 3.China Huaneng Group Co., Ltd., Beijing 100031, China
  • 4.School of Foreign Studies, Xi'an Jiaotong University, Xi'an 710049, China
出版时间: 2023-08-25 doi: 10.19666/j.rlfd.202304059
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煤电机组耦合储能系统可以提升机组的调峰能力。为提高热电联产机组的热电解耦能力,提出一种火电厂热电联产机组与液态CO2储能耦合系统。该系统利用凝结水收集储能过程中CO2压缩热,并与供热抽汽共同向用户供热,同时利用供热抽汽预热释能过程中膨胀机入口CO2。基于建立的系统热力学模型,以耦合系统热效率、㶲效率和储能系统电-电效率为评价指标,开展了系统热力性能分析。敏感性分析结果表明:增大膨胀机入口温度和释能压力都可以获得更高的系统㶲效率和电-电效率;增大储能压力可以获得更高的系统热效率,㶲效率则先升高后降低。在设定参数下对相应CO2储能系统进行参数优化。结果表明:当储能压力约为10.5 MPa、释能压力约为18.0 MPa时,耦合系统取得最优㶲效率为64.92%。

热电联产  /  液态CO2储能  /  热力性能分析  /  参数优化

Coupled with the energy storage system can improve the peak shaving capacity of the thermal power unit. To improve the thermoelectric decoupling ability of the combined heat and power unit, a coupled thermal power plant combined heat and power unit with liquid carbon dioxide energy storage system is proposed. The system utilizes the condensate to recover the compression heat of the carbon dioxide during the charge process, and supplies heat to the users together with the heating extraction steam. Besides, the heating extraction steam is employed to preheat the carbon dioxide of the expander inlet during the discharge process. Based on the established thermodynamic models, the thermal performance analysis of the coupled system was carried out with the thermal efficiency, exergy efficiency, and electricity storage efficiency as assessment criteria. The sensitivity analysis results indicate that increasing both the expander inlet temperature and the discharge pressure can obtain a higher system exergy efficiency and electricity storage efficiency; increasing the charge pressure results in a higher system thermal efficiency, while the exergy efficiency first increases and then decreases. The parameter optimization of the corresponding CO2 energy storage system was carried out under the design parameters. Results show that when the charge pressure is 10.5 MPa and the discharge pressure is 18.0 MPa, the coupled system achieves the optimal efficiency of 64.92%.

combined heat and power  /  liquid carbon dioxide energy storage  /  thermal performance analysis  /  parameter optimization
王妍, 王洋, 吕凯, 郑郝, 金森, 俞骏, 邹莹, 马汀山. 火电厂热电联产机组与液态CO2储能耦合系统热力性能分析. 热力发电, 2023 , 52 (8) : 40 -50 . DOI: 10.19666/j.rlfd.202304059
Yan WANG, Yang WANG, Kai LYU, Hao ZHENG, Sen JIN, Jun YU, Ying ZOU, Tingshan MA. Thermal performance analysis of the coupled system of cogeneration unit and liquid carbon dioxide energy storage system[J]. Thermal Power Generation, 2023 , 52 (8) : 40 -50 . DOI: 10.19666/j.rlfd.202304059
  • 中国华能集团有限公司总部科技项目(HNKJ21-H59)
2023年第52卷第8期
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doi: 10.19666/j.rlfd.202304059
  • 接收时间:2023-04-18
  • 首发时间:2026-01-26
  • 出版时间:2023-08-25
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  • 收稿日期:2023-04-18
基金
Science and Technology Project of China Huaneng Group Co., Ltd.(HNKJ21-H59)
中国华能集团有限公司总部科技项目(HNKJ21-H59)
作者信息
    1.西安热工研究院有限公司,陕西 西安 710054
    2.西安西热节能技术有限公司,陕西 西安 710054
    3.中国华能集团有限公司,北京 100031
    4.西安交通大学外语学院,陕西 西安 710049
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2种不同金属材料的力学参数

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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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