Measuring degradation rates of PV systems without irradiance data

Alexander D Cronin, Stephen Pulver, Daniel Cormode, Dirk Jordan, Sarah Kurtz, Ryan Smith

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

A method to report photovoltaic (PV) system degradation rates without using irradiance data is demonstrated. First, a set of relative degradation rates are determined by comparing daily AC final yields from a group of PV systems relative to the average final yield of all the PV systems. Then, the difference between relative and absolute degradation rates is estimated using a Bayesian statistical analysis. This approach is verified by comparing to methods that utilize irradiance data. This approach is significant because PV systems are often deployed without irradiance sensors, so the analysis method described here may enable measurements of degradation using data that were previously thought to be unsuitable for degradation studies.

Original languageEnglish (US)
Pages (from-to)851-862
Number of pages12
JournalProgress in Photovoltaics: Research and Applications
Volume22
Issue number8
DOIs
StatePublished - 2014

Fingerprint

irradiance
degradation
Degradation
statistical analysis
alternating current
Statistical methods
sensors
Sensors

Keywords

  • degradation
  • irradiance
  • photovoltaic test yard
  • yield

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics

Cite this

Measuring degradation rates of PV systems without irradiance data. / Cronin, Alexander D; Pulver, Stephen; Cormode, Daniel; Jordan, Dirk; Kurtz, Sarah; Smith, Ryan.

In: Progress in Photovoltaics: Research and Applications, Vol. 22, No. 8, 2014, p. 851-862.

Research output: Contribution to journalArticle

Cronin, Alexander D ; Pulver, Stephen ; Cormode, Daniel ; Jordan, Dirk ; Kurtz, Sarah ; Smith, Ryan. / Measuring degradation rates of PV systems without irradiance data. In: Progress in Photovoltaics: Research and Applications. 2014 ; Vol. 22, No. 8. pp. 851-862.
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