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Integration of compressed air energy storage and gas turbine to improve the ramp rate

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  • Kim, Min Jae
  • Kim, Tong Seop

Abstract

Manufacturers are trying to increase ramp rates to improve the operational flexibility of gas turbines. However, higher ramp rates lead to rapid variation in the combustion gas temperature and shorten the life of the turbine. To increase the rate without reducing the life, this study considers the use of a compressed air energy storage (CAES). Injecting pressurized air that is stored in CAES into the combustor of a gas turbine increases the power output of the gas turbine without increasing fuel supply. Therefore, the ramp rate of the turbine can be increased while suppressing the temperature change of the combustion gas. The injection schedule was optimized through a dynamic simulation to increase the ramp rate. A genetic algorithm was used in the optimization of the schedule. The optimized schedule turned out to be a simple form consisting of a linear increase and decrease in the injection flow rate. Furthermore, despite the increased ramp rate, the fluctuation of turbine inlet temperature could be maintained under a safe level due to the optimized compressed air injection.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:appene:v:247:y:2019:i:c:p:363-373
    DOI: 10.1016/j.apenergy.2019.04.046
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    References listed on IDEAS

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    3. Yang, Dechang & Wang, Ming & Yang, Ruiqi & Zheng, Yingying & Pandzic, Hrvoje, 2021. "Optimal dispatching of an energy system with integrated compressed air energy storage and demand response," Energy, Elsevier, vol. 234(C).
    4. 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).
    5. Jiang, Kai & Yan, Xiaohe & Liu, Nian & Wang, Peng, 2022. "Energy trade-offs in coupled ICM and electricity market under dynamic carbon emission intensity," Energy, Elsevier, vol. 260(C).
    6. Guan, Jin & Lv, Xiaojing & Spataru, Catalina & Weng, Yiwu, 2021. "Experimental and numerical study on self-sustaining performance of a 30-kW micro gas turbine generator system during startup process," Energy, Elsevier, vol. 236(C).
    7. Bartela, Łukasz, 2020. "A hybrid energy storage system using compressed air and hydrogen as the energy carrier," Energy, Elsevier, vol. 196(C).
    8. He, Xin & Li, ChengChen & Wang, Huanran, 2022. "Thermodynamics analysis of a combined cooling, heating and power system integrating compressed air energy storage and gas-steam combined cycle," Energy, Elsevier, vol. 260(C).
    9. Xiao, Runke & Yang, Cheng & Qi, Hanjie & Ma, Xiaoqian, 2023. "Synergetic performance of gas turbine combined cycle unit with inlet cooled by quasi-isobaric ACAES exhaust," Applied Energy, Elsevier, vol. 352(C).
    10. Guo, Huan & Xu, Yujie & Zhang, Xuehui & Liang, Qi & Wang, Shurui & Chen, Haisheng, 2021. "Dynamic characteristics and control of supercritical compressed air energy storage systems," Applied Energy, Elsevier, vol. 283(C).
    11. 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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