Article(id=1221467204650979439, tenantId=1146029695717560320, journalId=1210938733613449225, issueId=1221467200582500783, articleNumber=null, orderNo=null, doi=10.19666/j.rlfd.202207154, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1658160000000, receivedDateStr=2022-07-19, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1769150075352, onlineDateStr=2026-01-23, pubDate=1684944000000, pubDateStr=2023-05-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1769150075352, onlineIssueDateStr=2026-01-23, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1769150075352, creator=13701087609, updateTime=1769150075352, updator=13701087609, issue=Issue{id=1221467200582500783, tenantId=1146029695717560320, journalId=1210938733613449225, year='2023', volume='52', issue='5', pageStart='1', pageEnd='166', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1769150074382, creator=13701087609, updateTime=1769157444393, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1221498112716226774, tenantId=1146029695717560320, journalId=1210938733613449225, issueId=1221467200582500783, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1221498112716226775, tenantId=1146029695717560320, journalId=1210938733613449225, issueId=1221467200582500783, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=72, endPage=81, ext={EN=ArticleExt(id=1221467204978135164, articleId=1221467204650979439, tenantId=1146029695717560320, journalId=1210938733613449225, language=EN, title=Thermodynamic modeling and influence analysis of key parameters of heavy-duty gas turbine considering turbine stage cooling, columnId=1221467202000175547, journalTitle=Thermal Power Generation, columnName=Thermal energy and science research, runingTitle=null, highlight=null, articleAbstract=
Turbine cooling system is one of the cores of modern heavy-duty gas turbines. How to consider the influence of cold gas admixture is one of the first problems to be solved in gas turbine thermodynamic modeling and analysis of the influence of key parameters. With the continuous deepening of overall design of the gas turbine, a more detailed thermal performance calculation model is required to coordinate and match key components and the whole and ensure the final realization of the design performance. A calculation method of step-by-step blending and overall thermal performance of gas turbine based on one-dimensional aerodynamic analysis of turbine is proposed, and a thermal performance model of heavy-duty gas turbine is established. Moreover, the influence and key parameters and thermodynamic performance scheme of G/H class gas turbine is investigated. The analysis shows that, the turbine initial temperature, pressure ratio and cooling air volume are the key parameters affecting the overall thermal performance of the gas turbine, and the three should be coordinated in the overall design. While improving the turbine initial temperature, the minimum cooling air amount required to reach the temperature level should be studied, the optimal pressure ratio should be analyzed, and the iterative calculation and thorough research should be confirmed after combining the component design. The research results can provide a reference for the overall performance design of autonomous heavy-duty gas turbines.
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透平冷却系统是现代重型燃气轮机的核心之一,如何考虑冷气掺混影响,是燃气轮机热力学建模和关键参数影响分析中需要解决的首要问题之一。随着燃气轮机总体设计的不断深化,需要更细化的热力性能计算模型,以进行关键部件和总体的协调匹配和保障设计性能的最终实现。为此,提出了基于透平一维气动分析的燃气轮机透平逐级掺混及总体热力性能计算方法,建立了重型燃气轮机热力性能模型,并对关键参数的影响和G/H级燃气轮机热力性能方案进行了研究。分析表明:透平初温、压比和冷却空气量是影响燃气轮机总体热力性能的关键参数,在总体设计中应做到三者统一协调,提高透平初温的同时需研究达到该温度水平需要的最少冷却空气量,分析最佳压比,并结合部件设计进行迭代计算和深入研究后最终确认。该研究结果可为自主化重型燃气轮机总体性能设计提供参考。
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朱志劼(1983),男,硕士,高级工程师,主要研究方向为燃气轮机及联合循环发电技术,zhuzhijie@speri.com.cn。
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朱志劼(1983),男,硕士,高级工程师,主要研究方向为燃气轮机及联合循环发电技术,zhuzhijie@speri.com.cn。
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