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West African operational daily solar forecast errors and their link with meteorological conditions

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  • Clauzel, Léo
  • Anquetin, Sandrine
  • Lavaysse, Christophe
  • Tremoy, Guillaume
  • Raynaud, Damien

Abstract

West Africa is at the forefront of global environmental challenges with its commitment to reduce greenhouse gas emissions and harnessing the potential of renewable energy, especially the promising solar power. This study evaluates Global Horizontal Irradiance (GHI) operational forecast errors for the Zagtouli (Burkina-Faso) and Sococim (Senegal) solar plants, and investigates their links with local meteorological conditions, particularly clouds and dust aerosols. Firstly, the evaluation of aerosol products indicates that CAMS reanalysis is reliable for assessing aerosol optical depth. We then examine the accuracy of three operational GHI forecast products: the Global Forecast System (GFS, NCEP), the Integrated Forecast System (IFS, ECMWF), and SteadyMet (SM, French company Steadysun). The analysis reveals that IFS and SM outperform GFS, SM having a slight advantage due to its probabilistic nature. Closer examination reveals a significant relationship between GHI forecast errors and local meteorological characteristics. These errors are more pronounced during the wet season, primarily attributed to cloud occurrence. Dust events play a secondary influential role, especially during the dry season. Correlation analyses emphasize the forecast errors' major link with cloudiness, while co-occurrences highlight that dust aerosol is a secondary factor in forecast errors for the GHI directly or for cloud representation (aerosol-cloud interaction).

Suggested Citation

  • Clauzel, Léo & Anquetin, Sandrine & Lavaysse, Christophe & Tremoy, Guillaume & Raynaud, Damien, 2024. "West African operational daily solar forecast errors and their link with meteorological conditions," Renewable Energy, Elsevier, vol. 224(C).
    • Handle: RePEc:eee:renene:v:224:y:2024:i:c:s0960148124001666
    DOI: 10.1016/j.renene.2024.120101
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    References listed on IDEAS

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    1. Plain, N. & Hingray, B. & Mathy, S., 2019. "Accounting for low solar resource days to size 100% solar microgrids power systems in Africa," Renewable Energy, Elsevier, vol. 131(C), pages 448-458.
    2. L. Kruitwagen & K. T. Story & J. Friedrich & L. Byers & S. Skillman & C. Hepburn, 2021. "A global inventory of photovoltaic solar energy generating units," Nature, Nature, vol. 598(7882), pages 604-610, October.
    3. Yushchenko, Alisa & de Bono, Andrea & Chatenoux, Bruno & Kumar Patel, Martin & Ray, Nicolas, 2018. "GIS-based assessment of photovoltaic (PV) and concentrated solar power (CSP) generation potential in West Africa," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2088-2103.
    4. Ener Rusen, Selmin & Konuralp, Aycan, 2020. "Quality control of diffuse solar radiation component with satellite-based estimation methods," Renewable Energy, Elsevier, vol. 145(C), pages 1772-1779.
    5. Ener Rusen, Selmin & Hammer, Annette & Akinoglu, Bulent G., 2013. "Estimation of daily global solar irradiation by coupling ground measurements of bright sunshine hours to satellite imagery," Energy, Elsevier, vol. 58(C), pages 417-425.
    6. Salamalikis, Vasileios & Vamvakas, Ioannis & Blanc, Philippe & Kazantzidis, Andreas, 2021. "Ground-based validation of aerosol optical depth from CAMS reanalysis project: An uncertainty input on direct normal irradiance under cloud-free conditions," Renewable Energy, Elsevier, vol. 170(C), pages 847-857.
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