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Preliminary survey on site-adaptation techniques for satellite-derived and reanalysis solar radiation datasets

Polo, Jesus and Wilbert, Stefan and Ruiz-Arias, J.A. and Meyer, Richard and Gueymard, Christian A. and Suri, Marcel and Martin, L. and Mieslinger, T. and Blanc, Philippe and Grant, I. and Boland, J. and Ineichen, Pierre and Remund, Jan and Escobar, R. and Troccoli, A. and Sengupta, M. and Nielsen, J.K. and Renné, Dave and Geuder, Norbert and Cebecauer, Tomas (2016) Preliminary survey on site-adaptation techniques for satellite-derived and reanalysis solar radiation datasets. Solar Energy, 132, pp. 25-37. Elsevier. DOI: 10.2016.03.001 ISSN 0038-092X

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Official URL: http://www.sciencedirect.com

Abstract

At any site, the bankability of a projected solar power plant largely depends on the accuracy and general quality of the solar radiation data generated during the solar resource assessment phase. The term ‘‘site adaptation” has recently started to be used in the framework of solar energy projects to refer to the improvement that can be achieved in satellite-derived solar irradiance and model data when short-term local ground measurements are used to correct systematic errors and bias in the original dataset. This contribution presents a preliminary survey of different possible techniques that can improve long-term satellite-derived and model-derived solar radiation data through the use of short-term on-site ground measurements. The possible approaches that are reported here may be applied in differentways, depending on the origin and characteristics of the uncertainties in the modeled data. This work, which is the first step of a forthcoming in-depth assessment of methodologies for site adaptation, has been done within the framework of the International Energy Agency Solar Heating and Cooling Programme Task 46 ‘‘Solar Resource Assessment and Forecasting”.

Item URL in elib:https://elib.dlr.de/102794/
Document Type:Article
Title:Preliminary survey on site-adaptation techniques for satellite-derived and reanalysis solar radiation datasets
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Polo, JesusCIEMATUNSPECIFIED
Wilbert, Stefanstefan.wilbert (at) dlr.deUNSPECIFIED
Ruiz-Arias, J.A.UNSPECIFIEDUNSPECIFIED
Meyer, RichardUNSPECIFIEDUNSPECIFIED
Gueymard, Christian A.Solar Consulting Services, New Smyrna Beach, FL, USAUNSPECIFIED
Suri, MarcelGeomodel SolarUNSPECIFIED
Martin, L.IrSOLaV SpainUNSPECIFIED
Mieslinger, T.UNSPECIFIEDUNSPECIFIED
Blanc, PhilippeMines ParisTechUNSPECIFIED
Grant, I.Australian Bureau of MeteorologyUNSPECIFIED
Boland, J.UNSPECIFIEDUNSPECIFIED
Ineichen, PierreUniversity of GenevaUNSPECIFIED
Remund, JanMeteotestUNSPECIFIED
Escobar, R.Pontifica Universidad Católica de ChileUNSPECIFIED
Troccoli, A.World Energy & Meteorology CouncilUNSPECIFIED
Sengupta, M.NRELUNSPECIFIED
Nielsen, J.K.Danish Meteorol. Inst., Lyngbyvej, DKUNSPECIFIED
Renné, DaveDave Renné Renewables LLCUNSPECIFIED
Geuder, Norbertn.geuder (at) cspservices.deUNSPECIFIED
Cebecauer, TomasGeomodel SolarUNSPECIFIED
Date:July 2016
Journal or Publication Title:Solar Energy
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:132
DOI :10.2016.03.001
Page Range:pp. 25-37
Publisher:Elsevier
ISSN:0038-092X
Status:Published
Keywords:Satellite-derived solar radiation; Site adaptation; Bankability of data for solar projects; Solar radiation model-derived data
HGF - Research field:Energy
HGF - Program:Renewable Energies
HGF - Program Themes:Concentrating Solar Thermal Technology
DLR - Research area:Energy
DLR - Program:E SF - Solar research
DLR - Research theme (Project):E - Impact of Desert Environment (old)
Location: Köln-Porz
Institutes and Institutions:Institute of Solar Research > Qualifizierung
Deposited By: Kruschinski, Anja
Deposited On:23 May 2016 09:43
Last Modified:10 Jan 2019 15:50

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