Article(id=1221507470585938256, tenantId=1146029695717560320, journalId=1210938733613449225, issueId=1221507468635586855, articleNumber=null, orderNo=null, doi=10.19666/j.rlfd.202212297, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1670947200000, receivedDateStr=2022-12-14, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1769159675499, onlineDateStr=2026-01-23, pubDate=1687622400000, pubDateStr=2023-06-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1769159675499, onlineIssueDateStr=2026-01-23, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1769159675499, creator=13701087609, updateTime=1769159675499, 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=81, endPage=92, ext={EN=ArticleExt(id=1221507471277998455, articleId=1221507470585938256, tenantId=1146029695717560320, journalId=1210938733613449225, language=EN, title=Thermal performance analysis of supercritical carbon dioxide coal-fired power generation system, columnId=1221507470468497735, journalTitle=Thermal Power Generation, columnName=Characteristics research on S-CO
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Based on the first and second laws of thermodynamics, parameters of the supercritical carbon dioxide (S-CO2) recompression cycle, recompression reheat cycle, partial cooling cycle, partial cooling reheat cycle coal-fired power generation system were calculated and analyzed by using MATLAB software. Then, the impact of shunt coefficient, outlet and inlet pressure of the main compressor on the system circulation efficiency, equipment and exergy efficiency of the system were discussed respectively, and the four types of circulation systems were compared and analyzed. The results show that the cycle efficiency varies with the same parameters under different cycle layout or the same cycle layout and different operating parameters. There is a shunt coefficient for exergy efficiency and exergy efficiency to reach an optimal value. There is a coupling relationship between the influence of outlet and inlet pressure of the main compressor and the shunt coefficient on the circulation efficiency. For different parameter changes, exergy efficiency of system is mainly affected by exergy efficiency of different equipment. Reheat can increase circulation efficiency and exergy efficiency of the system, while some cooling cycles are relatively less sensitive to parameter changes.
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基于热力学第一、第二定律,针对超临界二氧化碳(S-CO2)再压缩循环、再压缩再热循环、部分冷却循环、部分冷却再热循环燃煤发电系统,采用MATLAB软件分别进行参数计算与分析。随后分别讨论了分流系数,主压缩机出口、入口压力对系统循环效率、各设备及系统㶲效率的影响,并对4种循环系统进行了对比分析。结果表明:不同循环布局下或同一循环布局,不同运行参数下,循环效率随相同参数的变化规律不同;分流系数存在使循环效率、㶲效率达到最高的最优值,主压缩机出口、入口压力与分流系数对循环效率的影响存在耦合关系;对于不同参数变化,系统㶲效率主要受不同设备㶲效率的影响;再热可提高系统循环效率和㶲效率,有部分冷却的循环对参数变化敏感度相对较低。
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1.Hebei Key Laboratory of Low-carbon and Efficient Power Generation Technology, North China Electric Power University, Baoding 071003, China
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1.华北电力大学河北省低碳高效发电技术重点实验室,河北 保定 071003
2.华北电力大学能源动力与机械工程学院,河北 保定 071003, bio={"content":"
韩中合(1964),男,博士,教授,主要研究方向为新能源及新循环工质开发利用,hanzhonghe@ncepu.edu.cn。
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韩中合(1964),男,博士,教授,主要研究方向为新能源及新循环工质开发利用,hanzhonghe@ncepu.edu.cn。
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1.华北电力大学河北省低碳高效发电技术重点实验室,河北 保定 071003
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1.Hebei Key Laboratory of Low-carbon and Efficient Power Generation Technology, North China Electric Power University, Baoding 071003, China
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1.华北电力大学河北省低碳高效发电技术重点实验室,河北 保定 071003
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1.Hebei Key Laboratory of Low-carbon and Efficient Power Generation Technology, North China Electric Power University, Baoding 071003, China
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1.华北电力大学河北省低碳高效发电技术重点实验室,河北 保定 071003
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1.Hebei Key Laboratory of Low-carbon and Efficient Power Generation Technology, North China Electric Power University, Baoding 071003, China
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1.华北电力大学河北省低碳高效发电技术重点实验室,河北 保定 071003
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