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Effect of climatic variability on the performance of solar plants with interseasonal storage

Author

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  • Oliveti, G.
  • Arcuri, N.
  • Ruffolo, S.

Abstract

A calculation method of the accumulated probability curves from the solar fraction provided by plants with interseasonal solar energy storage is proposed. The variability of the insolation sequences was achieved by randomly generating the monthly clearness indices according to normal distribution, and subsequently, the values of daily available energy by means of Markov’s matrix library [5]. The results obtained from simulations of the generated sequences of collected energy were subjected to experimental verification.

Suggested Citation

  • Oliveti, G. & Arcuri, N. & Ruffolo, S., 2000. "Effect of climatic variability on the performance of solar plants with interseasonal storage," Renewable Energy, Elsevier, vol. 19(1), pages 235-241.
    • Handle: RePEc:eee:renene:v:19:y:2000:i:1:p:235-241
    DOI: 10.1016/S0960-1481(99)00037-3
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    Cited by:

    1. Launay, S. & Kadoch, B. & Le Métayer, O. & Parrado, C., 2019. "Analysis strategy for multi-criteria optimization: Application to inter-seasonal solar heat storage for residential building needs," Energy, Elsevier, vol. 171(C), pages 419-434.
    2. Trincado, E. & Vindel, J.M., 2024. "A viability index for comparing the binominal return-risk of solar radiation," Renewable Energy, Elsevier, vol. 220(C).
    3. Zuo, Jingping & Qian, Cuncun & Su, Bing & Ji, Hao & Xu, Yang & Peng, Zhipeng, 2024. "Evaluation of future renewable energy drought risk in China based on CMIP6," Renewable Energy, Elsevier, vol. 225(C).
    4. Wang, Huajun & Qi, Chengying & Wang, Enyu & Zhao, Jun, 2009. "A case study of underground thermal storage in a solar-ground coupled heat pump system for residential buildings," Renewable Energy, Elsevier, vol. 34(1), pages 307-314.

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