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A novel mathematical model for the performance assessment of diabatic compressed air energy storage systems including the turbomachinery characteristic curves

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  • Briola, Stefano
  • Di Marco, Paolo
  • Gabbrielli, Roberto
  • Riccardi, Juri

Abstract

In this work, a novel detailed mathematical model for the performance assessment of diabatic compressed air energy storage (D-CAES) systems with underground storage site is proposed. The model was implemented in Matlab environment and it was validated using the D-CAES Huntorf plant data, demonstrating a close agreement with the data reported in literature. The analysis of some case studies of the D-CAES plant showed that the characteristic curves of the compressors, that were assumed for the operation in steady state conditions, are not suitable for modeling the operation in time-dependent conditions. Thus, different characteristic curves of the compressors and turbines were identified in such a way that the operation points of turbomachinery lay within the admissible range during the entire process sequence, in steady state or time-dependent conditions. Furthermore, the analysis demonstrated that the presence of the throttling valves in the charging and discharging circuits is preferable due to a higher simplicity of construction and regulation despite a low increase of the fuel consumption in the combustion chambers.

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  • Briola, Stefano & Di Marco, Paolo & Gabbrielli, Roberto & Riccardi, Juri, 2016. "A novel mathematical model for the performance assessment of diabatic compressed air energy storage systems including the turbomachinery characteristic curves," Applied Energy, Elsevier, vol. 178(C), pages 758-772.
    • Handle: RePEc:eee:appene:v:178:y:2016:i:c:p:758-772
    DOI: 10.1016/j.apenergy.2016.06.091
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    9. Meng, Hui & Wang, Meihong & Olumayegun, Olumide & Luo, Xiaobo & Liu, Xiaoyan, 2019. "Process design, operation and economic evaluation of compressed air energy storage (CAES) for wind power through modelling and simulation," Renewable Energy, Elsevier, vol. 136(C), pages 923-936.
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    11. He, Qing & Liu, Hui & Hao, Yinping & Liu, Yaning & Liu, Wenyi, 2018. "Thermodynamic analysis of a novel supercritical compressed carbon dioxide energy storage system through advanced exergy analysis," Renewable Energy, Elsevier, vol. 127(C), pages 835-849.
    12. Yang, D.L. & Tang, G.H. & Sheng, Q. & Li, X.L. & Fan, Y.H. & He, Y.L. & Luo, K.H., 2023. "Effects of multiple insufficient charging and discharging on compressed carbon dioxide energy storage," Energy, Elsevier, vol. 278(PA).
    13. Arabkoohsar, Ahmad & Rahrabi, Hamid Reza & Alsagri, Ali Sulaiman & Alrobaian, Abdulrahman A., 2020. "Impact of Off-design operation on the effectiveness of a low-temperature compressed air energy storage system," Energy, Elsevier, vol. 197(C).
    14. Camargos, Tomás P.L. & Pottie, Daniel L.F. & Ferreira, Rafael A.M. & Maia, Thales A.C. & Porto, Matheus P., 2018. "Experimental study of a PH-CAES system: Proof of concept," Energy, Elsevier, vol. 165(PA), pages 630-638.
    15. Briola, Stefano & Di Marco, Paolo & Gabbrielli, Roberto & Riccardi, Juri, 2017. "Sensitivity analysis for the energy performance assessment of hybrid compressed air energy storage systems," Applied Energy, Elsevier, vol. 206(C), pages 1552-1563.

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