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Modelling and control of advanced adiabatic compressed air energy storage under power tracking mode considering off-design generating conditions

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  • Bai, Jiayu
  • Liu, Feng
  • Xue, Xiaodai
  • Wei, Wei
  • Chen, Laijun
  • Wang, Guohua
  • Mei, Shengwei

Abstract

Advanced adiabatic compressed air energy storage (AA-CAES) is a scalable storage technology with a long lifespan, fast response and low environmental impact, and is suitable for grid-level applications. In power systems with high-penetration renewable generation, AA-CAES is expected to play an active role in flexible regulation. This paper proposes a state-space set-point control model of AA-CAES for the application in the power tracking mode considering off-design characteristics. The part-load features of the multi-stage turbine and heat exchanger are captured by simplified models, and then tailored for improving computational efficiency in the applications with a timescale of 1 min. The set-point control (power tracking) of AA-CAES entails the coordination of turbine inlet pressure, air mass flow rate and heat transfer fluid (HTF) mass flow rate, while ensuring the secure pressure at the throttle valve linking the air storage tank and the expansion train. The set-point control problem is cast to a differential-algebraic equation (DAE) constrained optimization problem, and is reformulated as a nonlinear program via the simultaneous collocation method. Case studies validate the accuracy and applicability of the proposed AA-CAES model for power tracking under off-design generating conditions.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:energy:v:218:y:2021:i:c:s0360544220326323
    DOI: 10.1016/j.energy.2020.119525
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    Cited by:

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    2. Razmi, Amir Reza & Soltani, M. & Ardehali, Armin & Gharali, Kobra & Dusseault, M.B. & Nathwani, Jatin, 2021. "Design, thermodynamic, and wind assessments of a compressed air energy storage (CAES) integrated with two adjacent wind farms: A case study at Abhar and Kahak sites, Iran," Energy, Elsevier, vol. 221(C).
    3. Wu, Danman & Bai, Jiayu & Wei, Wei & Chen, Laijun & Mei, Shengwei, 2021. "Optimal bidding and scheduling of AA-CAES based energy hub considering cascaded consumption of heat," Energy, Elsevier, vol. 233(C).
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    5. Liu, Qingshan & Liu, Yingwen & Liu, Hongjiang & He, Zhilong & Xue, Xiaodai, 2022. "Comprehensive assessment and performance enhancement of compressed air energy storage: thermodynamic effect of ambient temperature," Renewable Energy, Elsevier, vol. 196(C), pages 84-98.
    6. Huang, Jingjian & Xu, Yujie & Guo, Huan & Geng, Xiaoqian & Chen, Haisheng, 2022. "Dynamic performance and control scheme of variable-speed compressed air energy storage," Applied Energy, Elsevier, vol. 325(C).
    7. Xue, Xiaojun & Li, Jiarui & Liu, Jun & Wu, Yunyun & Chen, Heng & Xu, Gang & Liu, Tong, 2022. "Performance evaluation of a conceptual compressed air energy storage system coupled with a biomass integrated gasification combined cycle," Energy, Elsevier, vol. 247(C).
    8. Fu, Hailun & Hua, Qingsong & Shi, Juan & Sun, Li, 2023. "Photothermal-assisted scheme design and thermodynamic analysis of advanced adiabatic compressed air energy storage system," Renewable Energy, Elsevier, vol. 215(C).

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