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Correcting satellite derived DNI with systematic and seasonal deviations: Application to India

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  • Polo, J.
  • Martín, L.
  • Vindel, J.M.

Abstract

A simple method for correcting satellite-derived direct normal irradiance, with important deviations to the experimental data, is presented in this work and illustrated for the particular case of Rajasthan (India). Northwest India is expected to have a high level of solar radiation and it is an interesting area for solar concentrating power systems. However uncertainty in direct normal irradiance estimations from satellite may affect negatively to the bankability of solar plants. Direct normal irradiance have been estimated for a site in Rajasthan from satellite information for the period 2003 to 2011, and ground measurements during 2011 have been used to analyze the uncertainties and to develop a simple correction method. The original satellite estimations showed important deviations from the experimental values and high bias. A systematic underestimation of direct irradiance has been observed during the dryer seasons that could be attributed to an overestimation of the aerosol optical depth input to the model. These observations have allowed the design of a correction methodology. Unbiased new estimations of direct normal irradiance have been generated with this methodology with important reduction in the deviations and with an agreement in the distribution functions compared to the distribution function of the ground data.

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  • Polo, J. & Martín, L. & Vindel, J.M., 2015. "Correcting satellite derived DNI with systematic and seasonal deviations: Application to India," Renewable Energy, Elsevier, vol. 80(C), pages 238-243.
    • Handle: RePEc:eee:renene:v:80:y:2015:i:c:p:238-243
    DOI: 10.1016/j.renene.2015.02.031
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    1. Atul Kumar Srivastava & Sagnik Dey & S N Tripathi, 2012. "Aerosol Characteristics over the Indo-Gangetic Basin: Implications to Regional Climate," Chapters, in: Hayder Abdul-Razzak (ed.), Atmospheric Aerosols - Regional Characteristics - Chemistry and Physics, IntechOpen.
    2. Vernay, Christophe & Blanc, Philippe & Pitaval, Sébastien, 2013. "Characterizing measurements campaigns for an innovative calibration approach of the global horizontal irradiation estimated by HelioClim-3," Renewable Energy, Elsevier, vol. 57(C), pages 339-347.
    3. Purohit, Ishan & Purohit, Pallav & Shekhar, Shashaank, 2013. "Evaluating the potential of concentrating solar power generation in Northwestern India," Energy Policy, Elsevier, vol. 62(C), pages 157-175.
    4. Escobar, Rodrigo A. & Cortés, Cristián & Pino, Alan & Pereira, Enio Bueno & Martins, Fernando Ramos & Cardemil, José Miguel, 2014. "Solar energy resource assessment in Chile: Satellite estimation and ground station measurements," Renewable Energy, Elsevier, vol. 71(C), pages 324-332.
    5. Mahtta, Richa & Joshi, P.K. & Jindal, Alok Kumar, 2014. "Solar power potential mapping in India using remote sensing inputs and environmental parameters," Renewable Energy, Elsevier, vol. 71(C), pages 255-262.
    6. Polo, J. & Antonanzas-Torres, F. & Vindel, J.M. & Ramirez, L., 2014. "Sensitivity of satellite-based methods for deriving solar radiation to different choice of aerosol input and models," Renewable Energy, Elsevier, vol. 68(C), pages 785-792.
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    1. Bijarniya, Jay Prakash & Sudhakar, K. & Baredar, Prashant, 2016. "Concentrated solar power technology in India: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 63(C), pages 593-603.
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    4. Elvina Faustina Dhata & Chang Ki Kim & Hyun-Goo Kim & Boyoung Kim & Myeongchan Oh, 2022. "Site-Adaptation for Correcting Satellite-Derived Solar Irradiance: Performance Comparison between Various Regressive and Distribution Mapping Techniques for Application in Daejeon, South Korea," Energies, MDPI, vol. 15(23), pages 1-20, November.
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    6. Kambezidis, H.D. & Psiloglou, B.E. & Karagiannis, D. & Dumka, U.C. & Kaskaoutis, D.G., 2016. "Recent improvements of the Meteorological Radiation Model for solar irradiance estimates under all-sky conditions," Renewable Energy, Elsevier, vol. 93(C), pages 142-158.
    7. Youssef Kassem & Hüseyin Gökçekuş & Nour Alijl, 2023. "Gridded Precipitation Datasets and Gauge Precipitation Products for Driving Hydrological Models in the Dead Sea Region, Jordan," Sustainability, MDPI, vol. 15(15), pages 1-29, August.
    8. Psiloglou, B.E. & Kambezidis, H.D. & Kaskaoutis, D.G. & Karagiannis, D. & Polo, J.M., 2020. "Comparison between MRM simulations, CAMS and PVGIS databases with measured solar radiation components at the Methoni station, Greece," Renewable Energy, Elsevier, vol. 146(C), pages 1372-1391.
    9. Vamvakas, Ioannis & Salamalikis, Vasileios & Benitez, Daniel & Al-Salaymeh, Ahmed & Bouaichaoui, Sofiane & Yassaa, Noureddine & Guizani, AmenAllah & Kazantzidis, Andreas, 2020. "Estimation of global horizontal irradiance using satellite-derived data across Middle East-North Africa: The role of aerosol optical properties and site-adaptation methodologies," Renewable Energy, Elsevier, vol. 157(C), pages 312-331.
    10. Mazorra Aguiar, L. & Polo, J. & Vindel, J.M. & Oliver, A., 2019. "Analysis of satellite derived solar irradiance in islands with site adaptation techniques for improving the uncertainty," Renewable Energy, Elsevier, vol. 135(C), pages 98-107.
    11. João Perdigão & Paulo Canhoto & Rui Salgado & Maria João Costa, 2020. "Assessment of Direct Normal Irradiance Forecasts Based on IFS/ECMWF Data and Observations in the South of Portugal," Forecasting, MDPI, vol. 2(2), pages 1-21, May.
    12. Polo, J. & Téllez, F.M. & Tapia, C., 2016. "Comparative analysis of long-term solar resource and CSP production for bankability," Renewable Energy, Elsevier, vol. 90(C), pages 38-45.

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