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Impact assessment of short-term variability of solar radiation in Rajasthan using SRRA data

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  • Tripathy, Sujit Kumar
  • Mitra, Indradip
  • Heinemann, Detlev
  • Giridhar, Godugunur
  • Gomathinayagam, S.

Abstract

Short-term solar variability is a very important topic, pertaining to the issue of large-scale integration of solar energy into the electric power system. A thorough analysis of this variability aspect can lead to better management, operation, and control of the electrical grid with high penetration from solar power. This topic is quite relevant for India, where a target of 100GW of installed solar capacity by the year 2022, exists. In the state of Rajasthan alone, a solar power capacity of around 5.8GW is aimed to be achieved by that time.

Suggested Citation

  • Tripathy, Sujit Kumar & Mitra, Indradip & Heinemann, Detlev & Giridhar, Godugunur & Gomathinayagam, S., 2017. "Impact assessment of short-term variability of solar radiation in Rajasthan using SRRA data," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 798-806.
    • Handle: RePEc:eee:rensus:v:78:y:2017:i:c:p:798-806
    DOI: 10.1016/j.rser.2017.05.014
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    References listed on IDEAS

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    1. Lave, Matthew & Kleissl, Jan, 2010. "Solar variability of four sites across the state of Colorado," Renewable Energy, Elsevier, vol. 35(12), pages 2867-2873.
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    1. Jiang, Hou & Lu, Ning & Yao, Ling & Qin, Jun & Liu, Tang, 2023. "Impact of climate changes on the stability of solar energy: Evidence from observations and reanalysis," Renewable Energy, Elsevier, vol. 208(C), pages 726-736.
    2. Qin, Wenmin & Wang, Lunche & Lin, Aiwen & Zhang, Ming & Xia, Xiangao & Hu, Bo & Niu, Zigeng, 2018. "Comparison of deterministic and data-driven models for solar radiation estimation in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 579-594.
    3. Paletta, Quentin & Arbod, Guillaume & Lasenby, Joan, 2023. "Omnivision forecasting: Combining satellite and sky images for improved deterministic and probabilistic intra-hour solar energy predictions," Applied Energy, Elsevier, vol. 336(C).
    4. Castillejo-Cuberos, Armando & Escobar, Rodrigo, 2020. "Understanding solar resource variability: An in-depth analysis, using Chile as a case of study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 120(C).

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