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Computational fluid dynamics （CFD） is used to simulate and analyze the impact of different rib inclination angles on the heat dissipation performance of the manifold microchannel. The results show that compared with the structure without ribs, the temperature difference on the battery surface is significantly reduced when the inclination angle of the ribs in the inlet manifold is 11.54°. The maximum reduction rate is 61.86% under various flow rates. Under high flow conditions, the maximum temperature on the battery surface is reduced by 11.90 K, and the PEC range under various flow rates is 1.06 to 1.13., authors=Zhou Jiaxin, Zhou Guobing, authorsList=Zhou Jiaxin, Zhou Guobing, authorCompany=School of Energy, Power and Mechanical Engineering, North China Electric Power University, Beijing 102206, China, 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=1284794277356093782, articleId=1284794277179933013, tenantId=1146029695717560320, journalId=1283840536528293913, language=CN, title=基于阵列斜肋的太阳电池歧管微通道换热性能数值模拟, columnId=null, journalTitle=太阳能学报, columnName=null, runingTitle=null, highlight=null, articleAbstract=为解决高倍聚光光伏（HCPV）系统运行中太阳电池表面温度不均匀导致电效率降低的问题,提出利用带有阵列斜肋的歧管微通道热沉以降低太阳电池表面温差,并利用计算流体力学方法（CFD）模拟分析不同肋倾角对歧管微通道散热性能的影响。结果表明：相较于未加肋的结构,入口歧管中肋的倾角为11.54°时,电池表面温差大幅降低,各流量下最高降幅为61.86%,在高流量工况下电池表面最高温度降低11.90 K,各流量下的综合换热评价指标（PEC）范围为1.06~1.13。, authors=周家欣, 周国兵, authorsList=周家欣, 周国兵, authorCompany=华北电力大学能源动力与机械工程学院,北京 102206, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=YdgNytbhqGJGseaGzljmMA==, pdfFileSize=9355403, 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=北京市自然科学基金-海淀原始创新联合基金（L212068）; 教育部留学回国人员科研启动基金（2012940）)}, authors=[Author(id=1307444669110055891, tenantId=1146029695717560320, 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