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System performance analysis and estimation of degradation rates based on 500 years of monitoring data

 
: Reich, N.H.; Goebel, A.; Dirnberger, D.; Kiefer, K.

:
Postprint urn:nbn:de:0011-n-2254614 (945 KByte PDF)
MD5 Fingerprint: 8467806b10dc937ab47c69f8b47a3f86
© 2012 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Erstellt am: 4.5.2013


Institute of Electrical and Electronics Engineers -IEEE-; IEEE Electron Devices Society:
38th IEEE Photovoltaic Specialists Conference, PVSC 2012. Vol.3 : Austin, Texas, USA, 3 - 8 June 2012
Piscataway, NJ: IEEE, 2012
ISBN: 978-1-4673-0064-3
ISBN: 978-1-4673-0066-7
S.1551-1554
Photovoltaic Specialists Conference (PVSC) <38, 2012, Austin/Tex.>
Englisch
Konferenzbeitrag, Elektronische Publikation
Fraunhofer ISE ()
photovoltaisches Modul; System und Zuverlässigkeit; Qualitätssicherung PV Module; System und Kraftwerk

Abstract
Fraunhofer ISE has been involved in monitoring of PV systems since the "1000-roofs-program" in the 1990s. In a few of these "old systems" equipment is still in place, metering PV electricity output and plane-of-array irradiation. The majority of similar to 300 PV power plants in our monitoring campaign today, however, is large-scale and built in the past 10 years. In this paper, we briefly review the historical development of the Performance Ratio (PR) and how average PR for newly built systems increased to almost 90%. This rather high PR of 90% only holds, however, if calculated by on-site irradiation acquired with c-Si reference cells and for climates comparable with those in Germany. Next, we use about 500 years of monitoring data on aggregate to perform an analysis of variations of the PR over time. To this end, data points at similar environmental conditions are extracted from long-term time series as to calculate so-called "rates-of-change" of the PR. Highly scattered "rates-of-change" are obtained, however, not allowing for the estimation of specific degradation rates on the system level yet. To this end, we finally revisit uncertainties of irradiance sensors and in particular revisit our irradiance sensor re-calibration data.

: http://publica.fraunhofer.de/dokumente/N-225461.html