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Parameters affecting scalable underwater compressed air energy storage

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  • Cheung, Brian C.
  • Carriveau, Rupp
  • Ting, David S.-K.

Abstract

Underwater compressed air energy storage (UWCAES) is founded on mature concepts, many of them sourced from underground compressed air energy storage technology. A fundamental difference between the two systems is the way in which air is stored. UWCAES utilizes distensible boundary, submerged air accumulators as opposed to rigid walled caverns. This paper presents an analysis of the primary design parameters in a basic UWCAES system. The results from the parametric study and first-order sensitivity analysis show the importance and impact each design parameter has on overall system performance and can serve as a first reference guideline in system design. The analysis revealed significant system sensitivities to pipe diameter, expander and compressor efficiencies, and air storage depth. The air compression and expansion processes contributed most to system exergy destruction for all parametric study cases.

Suggested Citation

  • Cheung, Brian C. & Carriveau, Rupp & Ting, David S.-K., 2014. "Parameters affecting scalable underwater compressed air energy storage," Applied Energy, Elsevier, vol. 134(C), pages 239-247.
  • Handle: RePEc:eee:appene:v:134:y:2014:i:c:p:239-247
    DOI: 10.1016/j.apenergy.2014.08.028
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    7. 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.
    8. 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.
    9. Wang, Zhiwen & Xiong, Wei & Ting, David S.-K. & Carriveau, Rupp & Wang, Zuwen, 2016. "Conventional and advanced exergy analyses of an underwater compressed air energy storage system," Applied Energy, Elsevier, vol. 180(C), pages 810-822.
    10. Guo, Huan & Xu, Yujie & Huang, Lujing & Sun, Jianting & Chen, Haisheng, 2023. "Optimization strategy using corresponding-point methodology (CPM) concerning finite time and heat conduction rate for CAES systems," Energy, Elsevier, vol. 266(C).
    11. 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.
    12. Ebrahimi, Mehdi & Carriveau, Rupp & Ting, David S.-K. & McGillis, Andrew, 2019. "Conventional and advanced exergy analysis of a grid connected underwater compressed air energy storage facility," Applied Energy, Elsevier, vol. 242(C), pages 1198-1208.
    13. He, Wei & Wang, Jihong, 2018. "Optimal selection of air expansion machine in Compressed Air Energy Storage: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 87(C), pages 77-95.
    14. Liu, Zhan & Liu, Zihui & Xin, Xuan & Yang, Xiaohu, 2020. "Proposal and assessment of a novel carbon dioxide energy storage system with electrical thermal storage and ejector condensing cycle: Energy and exergy analysis," Applied Energy, Elsevier, vol. 269(C).
    15. Bennett, Jeffrey A. & Simpson, Juliet G. & Qin, Chao & Fittro, Roger & Koenig, Gary M. & Clarens, Andres F. & Loth, Eric, 2021. "Techno-economic analysis of offshore isothermal compressed air energy storage in saline aquifers co-located with wind power," Applied Energy, Elsevier, vol. 303(C).

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