Solar irradiation from the energy production of residential PV systems. (September 2018)
- Record Type:
- Journal Article
- Title:
- Solar irradiation from the energy production of residential PV systems. (September 2018)
- Main Title:
- Solar irradiation from the energy production of residential PV systems
- Authors:
- Bertrand, Cédric
Housmans, Caroline
Leloux, Jonathan
Journée, Michel - Abstract:
- Abstract: Considering the dense network of residential photovoltaic (PV) systems implemented in Belgium, the paper evaluates the opportunity of deriving global horizontal solar irradiation data from the electrical energy production registered at PV systems. The study is based on one year (i.e. 2014) of hourly PV power output collected at a representative sample of roughly 1500 residential PV installations. Validation is based on ground-based measurements of solar radiation performed within the network of radiometric stations operated by the Royal Meteorological Institute of Belgium and the method's performance is compared to the satellite-based retrieval approach. Our results indicate that the accuracy of the derived solar irradiation data depends on a number of factors including the efficiency of the PV system, the weather conditions, the density of PV systems that can be used for the tilt to horizontal conversion, other data sources that can be accessed to complement the PV data. In particular, the computed solar irradiation data degrade as the information about the orientation and tilt angles of the PV generator becomes more inaccurate. It is also found that there are certain sun positions (i.e. low solar elevations) for which the method fails to produce a valid estimation. Highlights: Conversion of PV systems energy production to global solar irradiation. One year of hourly PV power output collected at a representative sample of roughly 1500 residential PV instalations.Abstract: Considering the dense network of residential photovoltaic (PV) systems implemented in Belgium, the paper evaluates the opportunity of deriving global horizontal solar irradiation data from the electrical energy production registered at PV systems. The study is based on one year (i.e. 2014) of hourly PV power output collected at a representative sample of roughly 1500 residential PV installations. Validation is based on ground-based measurements of solar radiation performed within the network of radiometric stations operated by the Royal Meteorological Institute of Belgium and the method's performance is compared to the satellite-based retrieval approach. Our results indicate that the accuracy of the derived solar irradiation data depends on a number of factors including the efficiency of the PV system, the weather conditions, the density of PV systems that can be used for the tilt to horizontal conversion, other data sources that can be accessed to complement the PV data. In particular, the computed solar irradiation data degrade as the information about the orientation and tilt angles of the PV generator becomes more inaccurate. It is also found that there are certain sun positions (i.e. low solar elevations) for which the method fails to produce a valid estimation. Highlights: Conversion of PV systems energy production to global solar irradiation. One year of hourly PV power output collected at a representative sample of roughly 1500 residential PV instalations. Validation based on in-situ measurement and comparison to satellite based retrieval approach. Estimations degrade as the information about the orientation and/or inclination of the PV generator becomes more inaccurate. There are certain sun positions for which the method fails to produce a valid estimate. … (more)
- Is Part Of:
- Renewable energy. Volume 125(2018)
- Journal:
- Renewable energy
- Issue:
- Volume 125(2018)
- Issue Display:
- Volume 125, Issue 2018 (2018)
- Year:
- 2018
- Volume:
- 125
- Issue:
- 2018
- Issue Sort Value:
- 2018-0125-2018-0000
- Page Start:
- 306
- Page End:
- 318
- Publication Date:
- 2018-09
- Subjects:
- Photovoltaic system -- Solar radiation -- Decomposition model -- Transposition model -- Remote sensing -- Ground measurements -- Crowdsourcing
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.2018.02.036 ↗
- 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:
- 20887.xml