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On-site performance verification to reduce yield prediction uncertainities

: Reich, N.; Zenke, J.; Müller, B.; Kiefer, K.; Farnung, B.

Preprint urn:nbn:de:0011-n-3668692 (4.5 MByte PDF)
MD5 Fingerprint: 68f63772e228bc51604ffabb1958095f
Created on: 25.11.2015

Institute of Electrical and Electronics Engineers -IEEE-; IEEE Photonics Society:
IEEE 42nd Photovoltaic Specialist Conference, PVSC 2015 : 14-19 June 2015, New Orleans, LA
Piscataway, NJ: IEEE, 2015
ISBN: 978-1-4799-7944-8
Photovoltaic Specialists Conference (PVSC) <42, 2015, New Orleans/La.>
Conference Paper, Electronic Publication
Fraunhofer ISE ()
Photovoltaische Module; Systeme und Zuverlässigkeit; Photovoltaische Module und Kraftwerke; Photovoltaische Kraftwerke; performance; testing; verification; bankability; financing

In this paper, we describe a number of quality assurance procedures for PV performance evaluations using data that has been acquired with commercially operating PV power plants. Summarized under the term “performance verification”, these procedures aim to make reliable use of data gathered by PV operators, despite inaccuracies in such data. To this end, short-term measurements with independent equipment and/or data sources are factored in. This ensures both meteorological and PV performance data gathered by operators have sufficient quality. Given a sufficient quality, site-adaptation of satellite based solar irradiation time series and optimizations of PV models may allow for significantly reduced uncertainties of yield predictions. This we anticipate to be of great interest to a broad range of PV stakeholders. The prerequisite for this, however, are appropriate quality of on-site sensors and strict maintenance of the PV performance monitoring systems in place.