Article(id=1222493250951307550, tenantId=1146029695717560320, journalId=1210938733613449225, issueId=1222493244286558340, articleNumber=null, orderNo=null, doi=10.19666/j.rlfd.202212237, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=null, receivedDateStr=null, revisedDate=1670774400000, revisedDateStr=2022-12-12, acceptedDate=null, acceptedDateStr=null, onlineDate=1769394703852, onlineDateStr=2026-01-26, pubDate=1692892800000, pubDateStr=2023-08-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1769394703852, onlineIssueDateStr=2026-01-26, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1769394703852, creator=13701087609, updateTime=1769394703852, 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='1692892800000', pubDateStr='2023-08-25', 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, articleTotal=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, downloadFileDto=null}, startPage=129, endPage=136, ext={EN=ArticleExt(id=1222493251307823422, articleId=1222493250951307550, tenantId=1146029695717560320, journalId=1210938733613449225, language=EN, title=Thermal performance of 650 ℃ ultra supercritical unit with BEST, columnId=1211002409397129992, journalTitle=Thermal Power Generation, columnName=Power generation technology forum, runingTitle=null, highlight=null, articleAbstract=

In view of the research situation of backpressure extraction steam turbine technology for ultrasupercritical power generation units, the off-design condition calculation model and exergy analysis model of the unit was established, and the influences of steam mass flow, temperature, pressure, steam turbine back pressure and the BEST heat extraction stage on the thermal performance of the unit were analyzed. The exergy efficiency of unit increased first and then decreased with main steam flow rate, reaching the maximum value (52.42%) when main steam flow rate was 750 kg/s. Exergy efficiency of unit increased with the increase of main steam temperature and pressure but decreased with the increase of turbine back pressure. The thermal performance of unit was more affected by back pressure at low load. In addition, the BEST series has a significant effect on the thermal performance of the unit, and the BEST match degree with the system design scheme is achieved when the series is 4, and the thermal performance is optimal. The calculation method and BEST series selection scheme can provide reference for the scheme design and operation optimization of ultra-supercritical units.

, authors=null, authorsList=Wenhuan WANG, Pengjiang XU, Zhaonan XUE, Wenping JU, Bo ZHOU, Xiaoye DAI, Lin SHI, authorCompany=null, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1222493251597230424, articleId=1222493250951307550, tenantId=1146029695717560320, journalId=1210938733613449225, language=CN, title=超超临界650 ℃机组BEST方案热力性能研究, columnId=1211002409581679375, journalTitle=热力发电, columnName=发电技术论坛, runingTitle=null, highlight=null, articleAbstract=

针对超超临界燃煤机组背压抽汽汽轮机（backpressure extraction steam turbine, BEST）方案的研究现状，建立了含BEST的超超临界燃煤机组的变工况计算模型和㶲分析模型，深入探究了主蒸汽流量、温度、压力，汽轮机背压以及BEST回热抽汽级数对机组热力性能的影响规律。结果表明：机组的㶲效率随主蒸汽流量先升高后降低，在主蒸汽流量为750 kg/s时达到最大值（52.42%）；机组㶲效率随主蒸汽温度和压力的增大而提高，随汽轮机背压的增大而降低，在低负荷时机组热力性能受背压的影响更大；此外，BEST回热抽汽级数对机组热力性能的影响十分显著，级数为4级时与系统设计方案匹配度最好，热力性能最优。所述计算方法和BEST回热抽汽级数选择方案，可为超超临界机组方案设计与运行优化提供参考。

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王文焕（1999），男，博士研究生，主要研究方向为综合能源系统，wangwh22@mails.tsinghua.edu.cn。

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王文焕（1999），男，博士研究生，主要研究方向为综合能源系统，wangwh22@mails.tsinghua.edu.cn。

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