000891485 001__ 891485
000891485 005__ 20240712112955.0
000891485 0247_ $$2doi$$a10.1016/j.rser.2021.111005
000891485 0247_ $$2ISSN$$a1364-0321
000891485 0247_ $$2ISSN$$a1879-0690
000891485 0247_ $$2Handle$$a2128/27565
000891485 0247_ $$2WOS$$aWOS:000649678100004
000891485 037__ $$aFZJ-2021-01559
000891485 082__ $$a620
000891485 1001_ $$00000-0001-6033-940X$$aCarigiet, Fabian$$b0$$eCorresponding author
000891485 245__ $$aLong-term power degradation analysis of crystalline silicon PV modules using indoor and outdoor measurement techniques
000891485 260__ $$aAmsterdam [u.a.]$$bElsevier Science$$c2021
000891485 3367_ $$2DRIVER$$aarticle
000891485 3367_ $$2DataCite$$aOutput Types/Journal article
000891485 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1618207791_26753
000891485 3367_ $$2BibTeX$$aARTICLE
000891485 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000891485 3367_ $$00$$2EndNote$$aJournal Article
000891485 520__ $$aAnnual degradation rates of PV modules are important in the yield prediction. For a high-quality PV module, these rates are lower than the measurement uncertainty of a nominal power measurement performed in todays most advanced certified photovoltaic reference laboratory. Therefore, the analysis requires a well thought out methodology that can compare the data relative to each other or relative to an unused module stored in the dark on an annual base. Over the past 10 years, several multi c-Si and HIT modules have been accurately monitored in a string and single module setup by an outdoor performance measurement system. Additionally, all modules have been dismantled and measured using an indoor flasher measurement system once every year. With this unique measurement setup, the annual degradation rates of multi c-Si modules and HIT modules are quantified based on three different analysis methodologies. The multi c-Si modules showed an average annual degradation rate of 0.18% ± 0.06% and 0.29% ± 0.06% measured by the outdoor and indoor system, respectively. The indoor analysis of the HIT modules yielded an average annual degradation of 0.26% ± 0.05%. That corresponds to half of the degradation observed by the outdoor analysis method. Further evaluations of the performance ratio PR confirmed the results gained by the indoor methodology. The comparison of the standard PR with a temperature-corrected PR’STC for both technologies showed that the benefit of the lower temperature coefficient of the HIT technology is eliminated by its worse low light behaviour.
000891485 536__ $$0G:(DE-HGF)POF4-121$$a121 - Photovoltaik und Windenergie (POF4-121)$$cPOF4-121$$fPOF IV$$x0
000891485 588__ $$aDataset connected to CrossRef
000891485 7001_ $$0P:(DE-Juel1)176427$$aBrabec, Christoph$$b1$$ufzj
000891485 7001_ $$0P:(DE-HGF)0$$aBaumgartner, Franz P.$$b2
000891485 773__ $$0PERI:(DE-600)2019940-5$$a10.1016/j.rser.2021.111005$$gVol. 144, p. 111005 -$$p111005 -$$tRenewable & sustainable energy reviews$$v144$$x1364-0321$$y2021
000891485 8564_ $$uhttps://juser.fz-juelich.de/record/891485/files/1-s2.0-S1364032121002951-main.pdf$$yOpenAccess
000891485 909CO $$ooai:juser.fz-juelich.de:891485$$pdnbdelivery$$pdriver$$pVDB$$popen_access$$popenaire
000891485 9101_ $$0I:(DE-HGF)0$$60000-0001-6033-940X$$aExternal Institute$$b0$$kExtern
000891485 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)176427$$aForschungszentrum Jülich$$b1$$kFZJ
000891485 9101_ $$0I:(DE-HGF)0$$6P:(DE-HGF)0$$aExternal Institute$$b2$$kExtern
000891485 9130_ $$0G:(DE-HGF)POF3-121$$1G:(DE-HGF)POF3-120$$2G:(DE-HGF)POF3-100$$3G:(DE-HGF)POF3$$4G:(DE-HGF)POF$$aDE-HGF$$bEnergie$$lErneuerbare Energien$$vSolar cells of the next generation$$x0
000891485 9131_ $$0G:(DE-HGF)POF4-121$$1G:(DE-HGF)POF4-120$$2G:(DE-HGF)POF4-100$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$aDE-HGF$$bForschungsbereich Energie$$lMaterialien und Technologien für die Energiewende (MTET)$$vPhotovoltaik und Windenergie$$x0
000891485 9141_ $$y2021
000891485 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2021-01-27
000891485 915__ $$0StatID:(DE-HGF)1160$$2StatID$$aDBCoverage$$bCurrent Contents - Engineering, Computing and Technology$$d2021-01-27
000891485 915__ $$0LIC:(DE-HGF)CCBY4$$2HGFVOC$$aCreative Commons Attribution CC BY 4.0
000891485 915__ $$0StatID:(DE-HGF)0600$$2StatID$$aDBCoverage$$bEbsco Academic Search$$d2021-01-27
000891485 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bRENEW SUST ENERG REV : 2019$$d2021-01-27
000891485 915__ $$0StatID:(DE-HGF)0113$$2StatID$$aWoS$$bScience Citation Index Expanded$$d2021-01-27
000891485 915__ $$0StatID:(DE-HGF)9910$$2StatID$$aIF >= 10$$bRENEW SUST ENERG REV : 2019$$d2021-01-27
000891485 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
000891485 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bASC$$d2021-01-27
000891485 915__ $$0StatID:(DE-HGF)0160$$2StatID$$aDBCoverage$$bEssential Science Indicators$$d2021-01-27
000891485 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2021-01-27
000891485 915__ $$0StatID:(DE-HGF)0420$$2StatID$$aNationallizenz$$d2021-01-27$$wger
000891485 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2021-01-27
000891485 920__ $$lyes
000891485 9201_ $$0I:(DE-Juel1)IEK-11-20140314$$kIEK-11$$lHelmholtz-Institut Erlangen-Nürnberg Erneuerbare Energien$$x0
000891485 9801_ $$aFullTexts
000891485 980__ $$ajournal
000891485 980__ $$aVDB
000891485 980__ $$aUNRESTRICTED
000891485 980__ $$aI:(DE-Juel1)IEK-11-20140314
000891485 981__ $$aI:(DE-Juel1)IET-2-20140314