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Modeling seasonal thermal storage dynamics in the year-round scheduling of renewable energy systems

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  • Jiang, Haiyang
  • Luo, Jiajun
  • Guo, Yan
  • Du, Ershun
  • Zhang, Ning
  • Fang, Yuchen
  • Wang, Yating
  • Strbac, Goran

Abstract

Seasonal thermal storage (STS) enables the long-term storage of renewable energy in heat, which could effectively address the seasonal mismatch between renewable energy supply and heat demand. This paper models the temperature distribution of the water-based STS, considering the insulating effects of the soil surrounding the tank. Considering that the commonly used state-of-charge (SOC) model could not describe the time-variant heat loss in detail in a renewable energy system scheduling problem, a temperature field correction method is proposed to correct the scheduling results. Three case studies are performed on Garver’s 6-node system and HRP-38 system to validate the proposed method’s enhanced accuracy in managing STS compared to the SOC model. The proposed method could also reduce renewable curtailment in the scheduling problem due to a more detailed description of the heat loss process and a more effective renewable energy system scheduling scheme.

Suggested Citation

  • Jiang, Haiyang & Luo, Jiajun & Guo, Yan & Du, Ershun & Zhang, Ning & Fang, Yuchen & Wang, Yating & Strbac, Goran, 2025. "Modeling seasonal thermal storage dynamics in the year-round scheduling of renewable energy systems," Applied Energy, Elsevier, vol. 379(C).
    • Handle: RePEc:eee:appene:v:379:y:2025:i:c:s0306261924022116
    DOI: 10.1016/j.apenergy.2024.124828
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    References listed on IDEAS

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