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Feasibility study on the influence of steam injection in the compressed air energy storage system

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  • Kim, Min Jae
  • Kim, Tong Seop

Abstract

Performance and economic feasibility analysis was conducted on compressed air energy storage (CAES), where steam injection was applied. The pressure and temperature of the stored air change according to the operation of the CAES, having a great influence on the performance of the system. Considering this, the off-design analysis model was applied to each component. Dimensionless performance maps were applied to each compressor and turbine. A conventional CAES (C-CAES) was modeled based on commercialized CAESs, and a steam-injected CAES (SI-CAES) was then devised by adding a heat recovery steam generator. The system was assumed to store compressed air during the off-peak time and generate power during the peak time. The electricity generation of SI-CAES was predicted to be 7% greater than that of C-CAES but the efficiency decreased by approximately 0.8%. The estimated payback period was less than 6.5 years. If the heat recovery is added to the compression process, the efficiency increases. It was predicted that the heat recovery would result in a longer payback period but the maximum would be less than 10 years. Overall, steam injection is an effective method for augmenting the power generation of CAES for peak load management.

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  • Kim, Min Jae & Kim, Tong Seop, 2017. "Feasibility study on the influence of steam injection in the compressed air energy storage system," Energy, Elsevier, vol. 141(C), pages 239-249.
    • Handle: RePEc:eee:energy:v:141:y:2017:i:c:p:239-249
    DOI: 10.1016/j.energy.2017.09.078
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    Cited by:

    1. Fan, Jinyang & Liu, Wei & Jiang, Deyi & Chen, Junchao & Ngaha Tiedeu, William & Chen, Jie & JJK, Deaman, 2018. "Thermodynamic and applicability analysis of a hybrid CAES system using abandoned coal mine in China," Energy, Elsevier, vol. 157(C), pages 31-44.
    2. Tong, Zheming & Cheng, Zhewu & Tong, Shuiguang, 2021. "A review on the development of compressed air energy storage in China: Technical and economic challenges to commercialization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    3. Kim, Min Jae & Kim, Tong Seop & Flores, Robert J. & Brouwer, Jack, 2020. "Neural-network-based optimization for economic dispatch of combined heat and power systems," Applied Energy, Elsevier, vol. 265(C).
    4. Young-Kwang Park & Seong-Won Moon & Tong-Seop Kim, 2021. "Advanced Control to Improve the Ramp-Rate of a Gas Turbine: Optimization of Control Schedule," Energies, MDPI, vol. 14(23), pages 1-23, December.
    5. Wróbel, Marlena & Kalina, Jacek, 2019. "Preliminary evaluation of CAES system concept with partial oxidation gas turbine technology," Energy, Elsevier, vol. 183(C), pages 766-775.
    6. Kwon, Hyun Min & Kim, Tong Seop & Sohn, Jeong Lak & Kang, Do Won, 2018. "Performance improvement of gas turbine combined cycle power plant by dual cooling of the inlet air and turbine coolant using an absorption chiller," Energy, Elsevier, vol. 163(C), pages 1050-1061.
    7. Yang, Lichao & Cai, Zuansi & Li, Cai & He, Qingcheng & Ma, Yan & Guo, Chaobin, 2020. "Numerical investigation of cycle performance in compressed air energy storage in aquifers," Applied Energy, Elsevier, vol. 269(C).
    8. Kim, Min Jae & Kim, Tong Seop, 2019. "Integration of compressed air energy storage and gas turbine to improve the ramp rate," Applied Energy, Elsevier, vol. 247(C), pages 363-373.
    9. Seong Won Moon & Tong Seop Kim, 2020. "Advanced Gas Turbine Control Logic Using Black Box Models for Enhancing Operational Flexibility and Stability," Energies, MDPI, vol. 13(21), pages 1-23, October.

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