Performance Analysis and Degradation of a Large Fleet of PV Systems

Sascha Lindig*, Julian Ascencio-Vasquez, Jonathan Leloux, David Moser, Angele Reinders

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

19 Citations (Scopus)
68 Downloads (Pure)

Abstract

This article presents an initial performance analysis of a database of photovoltaic (PV) system performance time series collected within the European funded COST Action PEARL PV. The database contains monitoring data of over 8400 PV systems with accompanying metadata. The PV plants are small residential systems, primarily installed in Europe, with a high density in Belgium. In this initial study, the annual average performance ratio, the annual energy yield, and the performance loss rate of the systems are determined and evaluated. The systems have an average lifetime of 30.5 months. The annual mean performance ratio across all systems is 76.7% and the average yield is 954.9 kWh/kWp per year. The performance loss rate is calculated using three different statistical approaches and one irradiance data source. Average performance losses between -0.74%/year and -0.86%/year are calculated depending on the used approach. Furthermore, certain weather-dependent correlations are detected, such as decreasing performance ratio and increasing yield values with increasing irradiation. This study is a stepping-stone for further populating the present database, lessons learnt for handling large amounts of PV performance data, and carrying out performance studies of PV system fleets installed across Europe.

Original languageEnglish
Article number9502105
Pages (from-to)1312-1318
Number of pages7
JournalIEEE journal of photovoltaics
Volume11
Issue number5
Early online date30 Jul 2021
DOIs
Publication statusPublished - Sept 2021

Keywords

  • Big data analytics
  • degradation
  • monitoring
  • PV system fleet
  • PV systems
  • system performance

Fingerprint

Dive into the research topics of 'Performance Analysis and Degradation of a Large Fleet of PV Systems'. Together they form a unique fingerprint.

Cite this