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Analysis of increasing efficiency of modern combined cycle power plant: A case study

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  • Kotowicz, Janusz
  • Brzęczek, Mateusz

Abstract

The paper presents a comprehensive thermodynamic analysis of various gas turbine improvements in a modern combined cycle power plant designed to increase its electrical efficiency. The power plant was analyzed for use in: open air (convection, film and transpiration) cooling without and with cooling air cooler, closed air cooling, closed steam cooling and sequential combustion. The combined cycle power plant is equipped with a 200 MW gas turbine and a subcritical heat recovery steam generator with steam reheating. This article presents the effect of coolant cooling (air) and its use in the steam cycle of the combined cycle power plant. The influence of the higher permissible metal blade temperature in gas turbine on the electric efficiency of the gas turbine as well as the entire combined cycle power plant was also shown. It has also been proven that using industry - known solutions such as steam cooling and sequential combustion, the net electric efficiency of a combined cycle power plant can reach 0.63–0.65.

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  • Kotowicz, Janusz & Brzęczek, Mateusz, 2018. "Analysis of increasing efficiency of modern combined cycle power plant: A case study," Energy, Elsevier, vol. 153(C), pages 90-99.
    • Handle: RePEc:eee:energy:v:153:y:2018:i:c:p:90-99
    DOI: 10.1016/j.energy.2018.04.030
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    1. Bakhshmand, Sina Kazemi & Saray, Rahim Khoshbakhti & Bahlouli, Keyvan & Eftekhari, Hajar & Ebrahimi, Afshin, 2015. "Exergoeconomic analysis and optimization of a triple-pressure combined cycle plant using evolutionary algorithm," Energy, Elsevier, vol. 93(P1), pages 555-567.
    2. Mohapatra, Alok Ku & Sanjay,, 2014. "Thermodynamic assessment of impact of inlet air cooling techniques on gas turbine and combined cycle performance," Energy, Elsevier, vol. 68(C), pages 191-203.
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    4. Ivan Lorencin & Nikola Anđelić & Vedran Mrzljak & Zlatan Car, 2019. "Genetic Algorithm Approach to Design of Multi-Layer Perceptron for Combined Cycle Power Plant Electrical Power Output Estimation," Energies, MDPI, vol. 12(22), pages 1-26, November.
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    7. Wang, Xiao & Sun, Xiao-Xue & Chu, Shu-Chuan & Watada, Junzo & Pan, Jeng-Shyang, 2023. "Improved butterfly optimization algorithm applied to prediction of combined cycle power plant," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 204(C), pages 337-353.
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    11. Madejski, Paweł & Żymełka, Piotr, 2020. "Calculation methods of steam boiler operation factors under varying operating conditions with the use of computational thermodynamic modeling," Energy, Elsevier, vol. 197(C).
    12. Chen, Youliang & Huang, Xiaoguang & Li, Wei & Fan, Rong & Zi, Pingyang & Wang, Xin, 2023. "Application of deep learning modelling of the optimal operation conditions of auxiliary equipment of combined cycle gas turbine power station," Energy, Elsevier, vol. 285(C).
    13. Vedran Mrzljak & Igor Poljak & Maro Jelić & Jasna Prpić-Oršić, 2023. "Thermodynamic Analysis and Improvement Potential of Helium Closed Cycle Gas Turbine Power Plant at Four Loads," Energies, MDPI, vol. 16(15), pages 1-26, July.
    14. Kotowicz, Janusz & Brzęczek, Mateusz, 2019. "Comprehensive multivariable analysis of the possibility of an increase in the electrical efficiency of a modern combined cycle power plant with and without a CO2 capture and compression installations ," Energy, Elsevier, vol. 175(C), pages 1100-1120.
    15. Guido Marseglia & Blanca Fernandez Vasquez-Pena & Carlo Maria Medaglia & Ricardo Chacartegui, 2020. "Alternative Fuels for Combined Cycle Power Plants: An Analysis of Options for a Location in India," Sustainability, MDPI, vol. 12(8), pages 1-25, April.
    16. Krzysztof Kosowski & Karol Tucki & Marian Piwowarski & Robert Stępień & Olga Orynycz & Wojciech Włodarski, 2019. "Thermodynamic Cycle Concepts for High-Efficiency Power Plants. Part B: Prosumer and Distributed Power Industry," Sustainability, MDPI, vol. 11(9), pages 1-13, May.

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