A posteriori clear-sky identification methods in solar irradiance time series: Review and preliminary validation using sky imagers. (July 2019)
- Record Type:
- Journal Article
- Title:
- A posteriori clear-sky identification methods in solar irradiance time series: Review and preliminary validation using sky imagers. (July 2019)
- Main Title:
- A posteriori clear-sky identification methods in solar irradiance time series: Review and preliminary validation using sky imagers
- Authors:
- Gueymard, Christian A.
Bright, Jamie M.
Lingfors, David
Habte, Aron
Sengupta, Manajit - Abstract:
- Abstract: This study examines all known methods that have been proposed in the literature to identify clear-sky periods in historical solar irradiance time series. Two different types of clear-sky detection (CSD) methods are discussed: those (16 total) that attempt to isolate periods of 1-min or more cloudless conditions, and those (5 total) that only attempt to detect clear-sun periods. All methods are found to rely on a diversity of inputs and on a variety of tests that typically examine the smoothness of the temporal variation of global and/or direct irradiance. Using samples of a few days with variable cloudiness, it is shown that these methods all have obvious strengths and weaknesses. Although this justifies a detailed validation to determine which method(s) could be best suited in the practice of solar radiation modeling or other applications, the current lack of appropriate equipment at high-quality reference radiometric stations prevents such an endeavor. Only a preliminary study is conducted here at seven stations of the SURFRAD network in the U.S., where 1-min irradiance measurements are available, along with sky data from a Total Sky Imager (TSI). The many limitations of the latter prevent its data to be considered "ground truth" here. Nevertheless, the comparison of the results from all CSD methods and 1.2 million TSI observations from all SURFRAD sites provides important qualitative and quantitative information, using a variety of performance indicators.Abstract: This study examines all known methods that have been proposed in the literature to identify clear-sky periods in historical solar irradiance time series. Two different types of clear-sky detection (CSD) methods are discussed: those (16 total) that attempt to isolate periods of 1-min or more cloudless conditions, and those (5 total) that only attempt to detect clear-sun periods. All methods are found to rely on a diversity of inputs and on a variety of tests that typically examine the smoothness of the temporal variation of global and/or direct irradiance. Using samples of a few days with variable cloudiness, it is shown that these methods all have obvious strengths and weaknesses. Although this justifies a detailed validation to determine which method(s) could be best suited in the practice of solar radiation modeling or other applications, the current lack of appropriate equipment at high-quality reference radiometric stations prevents such an endeavor. Only a preliminary study is conducted here at seven stations of the SURFRAD network in the U.S., where 1-min irradiance measurements are available, along with sky data from a Total Sky Imager (TSI). The many limitations of the latter prevent its data to be considered "ground truth" here. Nevertheless, the comparison of the results from all CSD methods and 1.2 million TSI observations from all SURFRAD sites provides important qualitative and quantitative information, using a variety of performance indicators. Overall, two CSD methods appear more robust and are recommended, pending better high-resolution and high-performance cloud observations from modern sky cameras to redo these tests. Highlights: Review of 21 methods to detect clear-sky periods in historical irradiance time series. 16 methods for the detection of cloudless-sky periods and 5 for clear-sun periods. Large spread of results, based on qualitative and quantitative tests. Various performance indicators considered, using collocated sky imager data. 5 methods are recommended, but better sky cameras are needed for thorough validation. … (more)
- Is Part Of:
- Renewable & sustainable energy reviews. Volume 109(2019)
- Journal:
- Renewable & sustainable energy reviews
- Issue:
- Volume 109(2019)
- Issue Display:
- Volume 109, Issue 2019 (2019)
- Year:
- 2019
- Volume:
- 109
- Issue:
- 2019
- Issue Sort Value:
- 2019-0109-2019-0000
- Page Start:
- 412
- Page End:
- 427
- Publication Date:
- 2019-07
- Subjects:
- Sky imager -- Solar radiation -- Global irradiance -- Time series -- Clear sky -- Cloud fraction
Renewable energy sources -- Periodicals
Power resources -- Periodicals
Énergies renouvelables -- Périodiques
Ressources énergétiques -- Périodiques
333.794 - Journal URLs:
- http://www.sciencedirect.com/science/journal/13640321 ↗
http://www.elsevier.com/journals ↗
http://www.journals.elsevier.com/renewable-and-sustainable-energy-reviews ↗ - DOI:
- 10.1016/j.rser.2019.04.027 ↗
- Languages:
- English
- ISSNs:
- 1364-0321
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 7364.186000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 17177.xml