Article(id=1223190875904262254, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223190866320278179, articleNumber=null, orderNo=null, doi=10.20040/j.cnki.1000-7709.2023.20222439, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1668700800000, receivedDateStr=2022-11-18, revisedDate=1671897600000, revisedDateStr=2022-12-25, acceptedDate=null, acceptedDateStr=null, onlineDate=1769561030602, onlineDateStr=2026-01-28, pubDate=1695571200000, pubDateStr=2023-09-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1769561030602, onlineIssueDateStr=2026-01-28, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1769561030602, creator=13701087609, updateTime=1769561030602, updator=13701087609, issue=Issue{id=1223190866320278179, tenantId=1146029695717560320, journalId=1205116964453384197, year='2023', volume='41', issue='9', pageStart='1', pageEnd='220', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1769561028318, creator=13701087609, updateTime=1769562015483, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1223195006870082478, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223190866320278179, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1223195006870082479, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223190866320278179, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=164, endPage=167, ext={EN=ArticleExt(id=1223190877204496654, articleId=1223190875904262254, tenantId=1146029695717560320, journalId=1205116964453384197, language=EN, title=Study on Performance of Residual Energy Recovery Turbine in Different Inlet Blade Setting Angle, columnId=1222925284869922957, journalTitle=Water Resources and Power, columnName=ELECTROMECHANICS AND CONTROL ENGINEERING, runingTitle=null, highlight=null, articleAbstract=

The influence of inlet blade setting angle valued in a large range was studied on the performance of residual energy recovery turbine. Firstly, the theoretical predicted model was established between the inlet setting angle and optimal unit speed, and the numerical simulation model was determined based on the characteristics of residual energy recovery turbine. Then, three runners with different inlet setting angle were gave for the residual energy recovery turbine in water distribution networks, and numerical simulations were carried out with the same conditions of flow rate, head and rotate speed. The flow field and performance of the runner were compared. The results show that the optimal unit speed of residual energy recovery turbine was negatively correlated with the inlet setting angle. The range of best numerical predicted efficiency is between 92.72% and 93.60% while the inlet setting angle is between 30° and 70°. The inlet setting angle and optimal efficiency was hardly correlated. However, the range with high efficiency was corresponded to a larger unit speed with the decrease of inlet setting angle. It is feasible for residual energy recovery turbine to increase working range by changing inlet setting angle. The conclusions could provide a reference for the design of residual energy recovery turbine.

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针对余能回收水轮机叶片进口安放角在较大范围内取值影响其性能的问题，首先建立进口安放角与最优单位转速之间的理论关系，并根据余能回收水轮机的特点确定数值仿真模型，然后对输水管网余能回收水轮机给定三种进口安放角的转轮进行对比，在相同流量、水头和转速条件下进行数值仿真，比较了转轮内部流场和性能。结果表明，余能回收水轮机的最优单位转速与叶片进口安放角负相关，进口安放角在30°~70°之间取值时最优数值预测效率为92.72%~93.60%，进口安放角与最优效率值之间无显著关联，但随着进口安放角减小水轮机高效区对应的单位转速增加。通过改变进口安放角取值来增大余能回收水轮机适应的工况范围可行，研究成果可为余能回收水轮机的设计提供参考。

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^b.College of Energy and Power Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450046, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1223190879914017186, tenantId=1146029695717560320, journalId=1205116964453384197, articleId=1223190875904262254, authorId=1223190879607832969, language=CN, stringName=李延频, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=^{a, b}, address=^a.华北水利水电大学水利学院，河南 郑州 450046
^b.华北水利水电大学能源与动力工程学院，河南 郑州 450046, bio={"content":"

李延频（1973-），女，教授、博导，研究方向为流体机械理论，E-mail：liyanpin@ncwu.edu.cn

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李延频（1973-），女，教授、博导，研究方向为流体机械理论，E-mail：liyanpin@ncwu.edu.cn

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