Modelling the global solar radiation climate of Mauritius using regression techniques. (February 2019)
- Record Type:
- Journal Article
- Title:
- Modelling the global solar radiation climate of Mauritius using regression techniques. (February 2019)
- Main Title:
- Modelling the global solar radiation climate of Mauritius using regression techniques
- Authors:
- Doorga, Jay R.S.
Rughooputh, Soonil D.D.V.
Boojhawon, Ravindra - Abstract:
- Abstract: The tropical island of Mauritius (20.3°S, 57.6°E), situated in the southwestern Indian Ocean, is blessed with abundant sunshine throughout the year. In this study, eleven regression models grouped into three main categories: sunshine-based, temperature-based and hybrid-parameter-based are investigated using twenty-nine years meteorological data which include sunshine hours, temperature and relative humidity for fifteen stations on the island. Calibration of these models in the varying climatic regimes of the island is performed using global solar irradiation measurements recorded at the fifteen stations. An additional model, Sayigh Universal Formula, is modified through the implementation of a relative humidity factor trend specific to Mauritius and applicable to all regions on the island. The prediction capabilities of all twelve models are determined using statistical evaluation indicators and the better performance of the Sayigh Universal Formula acclimatized to Mauritius is revealed. Spatially clustered cloud cover zones are found to influence significantly the spatial distribution of global solar irradiation on a horizontal surface on the island, which varies from a maximum value of 22.5 MJ/m 2 day to a minimum of 9.5 MJ/m 2 day throughout the year giving an average of about 16 MJ/m 2 day. Highlights: An adapted global solar radiation model is proposed, acclimatized to tropical island climates. The spatio-temporal variability of global solar radiation isAbstract: The tropical island of Mauritius (20.3°S, 57.6°E), situated in the southwestern Indian Ocean, is blessed with abundant sunshine throughout the year. In this study, eleven regression models grouped into three main categories: sunshine-based, temperature-based and hybrid-parameter-based are investigated using twenty-nine years meteorological data which include sunshine hours, temperature and relative humidity for fifteen stations on the island. Calibration of these models in the varying climatic regimes of the island is performed using global solar irradiation measurements recorded at the fifteen stations. An additional model, Sayigh Universal Formula, is modified through the implementation of a relative humidity factor trend specific to Mauritius and applicable to all regions on the island. The prediction capabilities of all twelve models are determined using statistical evaluation indicators and the better performance of the Sayigh Universal Formula acclimatized to Mauritius is revealed. Spatially clustered cloud cover zones are found to influence significantly the spatial distribution of global solar irradiation on a horizontal surface on the island, which varies from a maximum value of 22.5 MJ/m 2 day to a minimum of 9.5 MJ/m 2 day throughout the year giving an average of about 16 MJ/m 2 day. Highlights: An adapted global solar radiation model is proposed, acclimatized to tropical island climates. The spatio-temporal variability of global solar radiation is investigated. Topography and incoming oceanic air are observed to influence the solar regime. … (more)
- Is Part Of:
- Renewable energy. Volume 131(2019)
- Journal:
- Renewable energy
- Issue:
- Volume 131(2019)
- Issue Display:
- Volume 131, Issue 2019 (2019)
- Year:
- 2019
- Volume:
- 131
- Issue:
- 2019
- Issue Sort Value:
- 2019-0131-2019-0000
- Page Start:
- 861
- Page End:
- 878
- Publication Date:
- 2019-02
- Subjects:
- Solar energy -- Global solar irradiation -- Regression insolation models -- Mauritius -- Solar climate -- Spatio-temporal analysis
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.2018.07.107 ↗
- 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:
- 11316.xml