Analysis of photovoltaic system performance time series: Seasonality and performance loss. (May 2015)
- Record Type:
- Journal Article
- Title:
- Analysis of photovoltaic system performance time series: Seasonality and performance loss. (May 2015)
- Main Title:
- Analysis of photovoltaic system performance time series: Seasonality and performance loss
- Authors:
- Phinikarides, Alexander
Makrides, George
Zinsser, Bastian
Schubert, Markus
Georghiou, George E. - Abstract:
- Abstract: In this work, the seasonality and performance loss rates of eleven grid-connected photovoltaic (PV) systems of different technologies were evaluated through seasonal adjustment. The classical seasonal decomposition (CSD) and X-12-ARIMA statistical techniques were applied on monthly DC performance ratio, R P, time series, constructed from field measurements over the systems' first five years of operation. The results have shown that the R P of crystalline silicon (c-Si) technologies was higher during winter. This was also the case for the copper–indium gallium-diselenide (CIGS) and cadmium telluride (CdTe) technologies but with lower seasonal amplitude. The amorphous silicon (a-Si) technology exhibited a different seasonal profile, with high R P during summer and autumn and low during winter. In addition, the trends extracted from the application of CSD and X-12-ARIMA on three-year, four-year and five-year R P time series were used to estimate linear performance loss rates. A comparison between standard linear regression (LR), CSD and X-12-ARIMA has shown that CSD and X-12-ARIMA resulted in higher rates overall for c-Si, 1.07 and 0.93%/year respectively, but with significantly less uncertainty than LR. Lastly, it was shown that X-12-ARIMA provided statistical inference in the presence of outliers and produced model residuals that were uncorrelated, in contrast to CSD. Highlights: Seasonal decomposition of the performance of eleven grid-connected PV technologies.Abstract: In this work, the seasonality and performance loss rates of eleven grid-connected photovoltaic (PV) systems of different technologies were evaluated through seasonal adjustment. The classical seasonal decomposition (CSD) and X-12-ARIMA statistical techniques were applied on monthly DC performance ratio, R P, time series, constructed from field measurements over the systems' first five years of operation. The results have shown that the R P of crystalline silicon (c-Si) technologies was higher during winter. This was also the case for the copper–indium gallium-diselenide (CIGS) and cadmium telluride (CdTe) technologies but with lower seasonal amplitude. The amorphous silicon (a-Si) technology exhibited a different seasonal profile, with high R P during summer and autumn and low during winter. In addition, the trends extracted from the application of CSD and X-12-ARIMA on three-year, four-year and five-year R P time series were used to estimate linear performance loss rates. A comparison between standard linear regression (LR), CSD and X-12-ARIMA has shown that CSD and X-12-ARIMA resulted in higher rates overall for c-Si, 1.07 and 0.93%/year respectively, but with significantly less uncertainty than LR. Lastly, it was shown that X-12-ARIMA provided statistical inference in the presence of outliers and produced model residuals that were uncorrelated, in contrast to CSD. Highlights: Seasonal decomposition of the performance of eleven grid-connected PV technologies. Statistically significant estimates through X-12-ARIMA. Lower seasonal component standard deviation for thin-film technologies. Mean performance loss rate of 0.93%/year for crystalline silicon technologies. Higher mean performance loss rate for thin-film technologies. … (more)
- Is Part Of:
- Renewable energy. Volume 77(2015)
- Journal:
- Renewable energy
- Issue:
- Volume 77(2015)
- Issue Display:
- Volume 77, Issue 2015 (2015)
- Year:
- 2015
- Volume:
- 77
- Issue:
- 2015
- Issue Sort Value:
- 2015-0077-2015-0000
- Page Start:
- 51
- Page End:
- 63
- Publication Date:
- 2015-05
- Subjects:
- Crystalline silicon -- Thin-film -- Degradation -- Performance loss -- Seasonal decomposition
Renewable energy sources -- Periodicals
Power resources -- Periodicals
Énergies renouvelables -- Périodiques
Ressources énergétiques -- Périodiques
333.794 - Journal URLs:
- http://www.sciencedirect.com/science/journal/09601481 ↗
http://www.elsevier.com/journals ↗
http://www.journals.elsevier.com/renewable-energy/ ↗ - DOI:
- 10.1016/j.renene.2014.11.091 ↗
- Languages:
- English
- ISSNs:
- 0960-1481
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 7364.187000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 10114.xml