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Performance of roof-top PV systems in Germany from 2012 to 2018

[Display omitted] •A south-north-gradient of the yield can be identified in most years.•More than half of roof-top PV systems operate worse than expectable.•At least 5 years of data must be available for a quality statement of PV systems.•There is no correlation of yield and capacity of roof-top PV...

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Bibliographic Details
Published in:Solar energy 2019-12, Vol.194, p.128-135
Main Authors: te Heesen, Henrik, Herbort, Volker, Rumpler, Martin
Format: Article
Language:English
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Summary:[Display omitted] •A south-north-gradient of the yield can be identified in most years.•More than half of roof-top PV systems operate worse than expectable.•At least 5 years of data must be available for a quality statement of PV systems.•There is no correlation of yield and capacity of roof-top PV systems. The photovoltaic (PV) sector is a central pillar for the global energy transition process which aims to reach the climate change mitigation goals. Roof-mounted systems in particular can make a significant contribution to greenhouse gas-free energy generation. By the end of 2018, more than 1.5 million rooftop systems have been installed in Germany. The yield data measured by monitoring systems and provided by web-based online systems from 2012 to 2018, as well as the configuration information of 23,944 PV systems, are evaluated in this publication. Long-term indicators are derived from the spatial and temporal distribution of the yield data. The yield analysis shows a typical south-north gradient in Germany. 2018 was the year with the highest yield, 2013 the year with the lowest. The annual specific yield varies between 816 kWh/kWp in 2017 at the Baltic Sea and 1049 kWh/kWp in 2018 in Bavaria. If analysis of data evaluation is narrowed to one to two years, a deviation of five percent and more from the long-term yield can be observed. In order to obtain detailed information on the quality of PV systems, at least five years of data are required. The yield data evaluation can be used by PV system operators and owners to identify an undersupply of their PV system and to initiate countermeasures.
ISSN:0038-092X
1471-1257
DOI:10.1016/j.solener.2019.10.019