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A comprehensive data-driven study of electrical power grid and its implications for the design, performance, and operational requirements of adiabatic compressed air energy storage systems

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  • Rouindej, Kamyar
  • Samadani, Ehsan
  • Fraser, Roydon A.

Abstract

As the next generation of compressed air energy storage systems are being developed and the technology is gaining momentum, designing the right system is essential for its successful adaptation in the electricity market. This research studies the impact of performance requirements on the design and operation of any potential adiabatic compressed air energy storage system, using one full year worth of real operating data of the Ontario grid for analysis. The objective is to introduce a new approach to designing compressed air energy storage systems based on specific grid requirements. The adiabatic compressed air energy storage system thermo-mechanical requirements under real operating conditions are identified using a model-based approach. It is shown that using an adiabatic compressed air energy storage system with one-tenth of the size commonly assumed in the literature, will satisfy the Ontario grid requirements. Such a system will require charge and discharge durations of less than two hours. In addition to understanding sizing and performance requirements, this analytical approach provides a valuable insight into long-term trends required for optimum operational planning and scheduling.

Suggested Citation

  • Rouindej, Kamyar & Samadani, Ehsan & Fraser, Roydon A., 2020. "A comprehensive data-driven study of electrical power grid and its implications for the design, performance, and operational requirements of adiabatic compressed air energy storage systems," Applied Energy, Elsevier, vol. 257(C).
    • Handle: RePEc:eee:appene:v:257:y:2020:i:c:s0306261919316770
    DOI: 10.1016/j.apenergy.2019.113990
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    Cited by:

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    2. Sarmast, Sepideh & Rouindej, Kamyar & Fraser, Roydon A. & Dusseault, Maurice B., 2024. "Optimizing near-adiabatic compressed air energy storage (NA-CAES) systems: Sizing and design considerations," Applied Energy, Elsevier, vol. 357(C).
    3. Paolo Maria Congedo & Cristina Baglivo & Simone Panico & Domenico Mazzeo & Nicoletta Matera, 2022. "Optimization of Micro-CAES and TES Systems for Trigeneration," Energies, MDPI, vol. 15(17), pages 1-14, August.
    4. Bai, Jiayu & Liu, Feng & Xue, Xiaodai & Wei, Wei & Chen, Laijun & Wang, Guohua & Mei, Shengwei, 2021. "Modelling and control of advanced adiabatic compressed air energy storage under power tracking mode considering off-design generating conditions," Energy, Elsevier, vol. 218(C).
    5. He, Yang & MengWang, & Chen, Haisheng & Xu, Yujie & Deng, Jianqiang, 2021. "Thermodynamic research on compressed air energy storage system with turbines under sliding pressure operation," Energy, Elsevier, vol. 222(C).
    6. Shang Chen & Ahmad Arabkoohsar & Guodong Chen & Mads Pagh Nielsen, 2022. "Optimization of a Hybrid Energy System with District Heating and Cooling Considering Off-Design Characteristics of Components, an Effort on Optimal Compressed Air Energy Storage Integration," Energies, MDPI, vol. 15(13), pages 1-21, June.
    7. Obara, Shin'ya, 2023. "Energy storage device based on a hybrid system of a CO2 heat pump cycle and a CO2 hydrate heat cycle," Renewable and Sustainable Energy Reviews, Elsevier, vol. 179(C).

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