Investigation of the compressed air energy storage (CAES) system utilizing systems-theoretic process analysis (STPA) towards safe and sustainable energy supply

Aibo Zhang, Zhaoyuan Yin, Zhiying Wu, Min Xie, Yiliu Liu*, Haoshui Yu*

*Corresponding author for this work

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    28 Citations (Scopus)
    130 Downloads (CityUHK Scholars)

    Abstract

    Renewable energy attracts increasing attention from both industry and academia under the context of carbon neutrality. For wind and solar energy, the strong dependence on natural processes results in the imbalance between energy production and real demands. Energy storage technologies, e.g., Compressed Air Energy Storage (CAES), are promising solutions to increase the renewable energy penetration. However, the CAES system is a multi-component structure with multiple energy forms involved in the process subject to high temperature and high-pressure working conditions. The CAES system is a complex process flowsheet consisting of charging and discharging process. The process should be optimized to achieve the best thermodynamic and economic performance. Under the optimal design conditions, it might lead to severe consequences once a failure occurs, e.g., harm to humans, the environment, and assets. Limited attention and scarce available information have been paid to the CAES system risk management yet. Hence, this paper applies the System-Theoretic Process Analysis (STPA), which is a top-down method based on system theory, to identify the CAES system safety hazards. The results are expected to provide a preliminary guideline for practitioners regarding the safety and reliability of the CAES system. As a result, a more reliable CAES system can contribute to a more flexible energy system with more efficient and economic utilization of fluctuating renewable energy. © 2023 The Authors.
    Original languageEnglish
    Pages (from-to)1075-1085
    JournalRenewable Energy
    Volume206
    Online published25 Feb 2023
    DOIs
    Publication statusPublished - Apr 2023

    Funding

    This work is supported by National Natural Science Foundation of China (71971181 and 72032005) and by Research Grant Council of Hong Kong (11203519, 11200621)

    Research Keywords

    • CAES system
    • Energy storage
    • Hazard identification
    • Renewable energy
    • Risk management
    • STPA method

    Publisher's Copyright Statement

    • This full text is made available under CC-BY 4.0. https://creativecommons.org/licenses/by/4.0/

    RGC Funding Information

    • RGC-funded

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