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A novel coolant cooling method for enhancing the performance of the gas turbine combined cycle

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  • Moon, Seong Won
  • Kwon, Hyun Min
  • Kim, Tong Seop
  • Kang, Do Won
  • Sohn, Jeong Lak

Abstract

The turbine inlet temperature (TIT) has a significant effect on the performance of gas turbines, and enhanced cooling methods are being applied to the latest gas turbines to increase this temperature. The coolant pre-cooling (CPC) is also used to improve the cooling performance. In this study, coolant inter-cooling (CIC) is proposed to reduce the coolant temperature and improve the gas turbine performance further. The air required for turbine cooling is extracted from the middle of the compressor, cooled, and pressurized by a separate compressor. This decreases both the coolant temperature and the power needed to compress it. The effect of CIC on the performance of a combined cycle power plant was analyzed in comparison with the conventional CPC method using an H-class gas turbine. A heat recovery system was considered to collect the heat wasted in the coolant cooling process and generates additional steam in the bottoming cycle. Various locations of the water source for the heat recovery were compared, and the optimal ones were selected. The proposed method enables higher power output and efficiency in a combined cycle power plant than the CPC method.

Suggested Citation

  • Moon, Seong Won & Kwon, Hyun Min & Kim, Tong Seop & Kang, Do Won & Sohn, Jeong Lak, 2018. "A novel coolant cooling method for enhancing the performance of the gas turbine combined cycle," Energy, Elsevier, vol. 160(C), pages 625-634.
    • Handle: RePEc:eee:energy:v:160:y:2018:i:c:p:625-634
    DOI: 10.1016/j.energy.2018.07.035
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    References listed on IDEAS

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    1. Sahu, Mithilesh Kumar & Sanjay,, 2017. "Comparative exergoeconomic analysis of basic and reheat gas turbine with air film blade cooling," Energy, Elsevier, vol. 132(C), pages 160-170.
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    Citations

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    Cited by:

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    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. 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.
    6. Park, Yeseul & Choi, Minsung & Choi, Gyungmin, 2023. "Thermodynamic performance study of large-scale industrial gas turbine with methane/ammonia/hydrogen blended fuels," Energy, Elsevier, vol. 282(C).
    7. Mahdavi, Navid & Khalilarya, Shahram, 2019. "Comprehensive thermodynamic investigation of three cogeneration systems including GT-HRSG/RORC as the base system, intermediate system and solar hybridized system," Energy, Elsevier, vol. 181(C), pages 1252-1272.
    8. Park, Yeseul & Choi, Minsung & Kim, Dongmin & Lee, Joongsung & Choi, Gyungmin, 2021. "Performance analysis of large-scale industrial gas turbine considering stable combustor operation using novel blended fuel," Energy, Elsevier, vol. 236(C).
    9. Giugno, Andrea & Sorce, Alessandro & Cuneo, Alessandra & Barberis, Stefano, 2021. "Effects of market and climatic conditions over a gas turbine combined cycle integrated with a Heat Pump for inlet cooling," Applied Energy, Elsevier, vol. 290(C).
    10. 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.
    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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