Preliminary Survey on Site-Adaptation Techniques for Satellite-Derived and Reanalysis Solar Radiation Datasets

Manajit Sengupta, J. Polo, S. Wilbert, J. Ruiz-Arias, R. Meyer, C. Gueymard, M. Suri, L. Martin, T. Mieslinger, P. Blanc, I. Grant, J. Boland, P. Ineichen, J. Remund, R. Escobar, A. Troccoli, K. Nielsen, D. Renne, N. Geuder, T. Cebecauer

Research output: Contribution to journalArticlepeer-review

132 Scopus Citations


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 different ways, 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".

Original languageAmerican English
Pages (from-to)25-37
Number of pages13
JournalSolar Energy
StatePublished - 1 Jul 2016

Bibliographical note

Publisher Copyright:
© 2016 Elsevier Ltd.

NREL Publication Number

  • NREL/JA-5D00-70001


  • Bankability of data for solar projects
  • Satellite-derived solar radiation
  • Site adaptation
  • Solar radiation model-derived data


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