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Thermodynamic, environmental and economic performance optimization of simple, regenerative, STIG and RSTIG gas turbine cycles

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  • Kayadelen, Hasan Kayhan
  • Ust, Yasin

Abstract

Regeneration and steam injection are both well proven as well as promising modifications which can boost power, increase thermal efficiency, part load performance and limit NOx emissions. However, their benefits are still largely unexploited. To investigate these modifications, a comprehensive but practical model is established as an essential improvement on the air standard models. Our multipronged modeling approach enables simultaneous monitoring and optimization of thermodynamic, economic and environmental performance. Additionally, it provides a more accurate analysis by using specifically calculated thermodynamic properties, precisely calculated adiabatic flame temperature, a realistic definition of regenerator effectiveness coefficient and updated cost parameters. Simulating this improved model, a detailed parametrical analysis of steam injected and regenerative gas turbine cycles is performed for varying pressure, steam injection and equivalence ratios. Optimal operating parameters are investigated considering the state of the art cycle parameters and component efficiencies along with non-equilibrium NOx and CO emissions. Contradictory traits of steam injection and regeneration as well as their combinations are presented and comparatively discussed. Conditions of maximum economic profit are demonstrated regarding the up-to-date equipment cost data and escalations in fuel prices. We suggest, this study will contribute to optimization of novel and future gas turbine designs and applications.

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  • Kayadelen, Hasan Kayhan & Ust, Yasin, 2017. "Thermodynamic, environmental and economic performance optimization of simple, regenerative, STIG and RSTIG gas turbine cycles," Energy, Elsevier, vol. 121(C), pages 751-771.
    • Handle: RePEc:eee:energy:v:121:y:2017:i:c:p:751-771
    DOI: 10.1016/j.energy.2017.01.060
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    2. Safiyullah, F. & Sulaiman, S.A. & Naz, M.Y. & Jasmani, M.S. & Ghazali, S.M.A., 2018. "Prediction on performance degradation and maintenance of centrifugal gas compressors using genetic programming," Energy, Elsevier, vol. 158(C), pages 485-494.
    3. Mohammadpour, Mohammadreza & Houshfar, Ehsan & Ashjaee, Mehdi & Mohammadpour, Amirreza, 2021. "Energy and exergy analysis of biogas fired regenerative gas turbine cycle with CO2 recirculation for oxy-fuel combustion power generation," Energy, Elsevier, vol. 220(C).
    4. Zhu, Guangya & Chow, T.T. & Fong, K.F. & Lee, C.K., 2019. "Comparative study on humidified gas turbine cycles with different air saturator designs," Applied Energy, Elsevier, vol. 254(C).
    5. Zhang, Qing & Wang, Yuzhang & Jiang, Jiangjun & Weng, Shilie & Cao, Xiuling, 2022. "Coupling effect of key parameters of heat recovery components on the HAT cycle performance," Energy, Elsevier, vol. 238(PC).
    6. Ma, Yujia & Liu, Jinfu & Zhu, Linhai & Li, Qi & Guo, Yaqiong & Liu, Huanpeng & Yu, Daren, 2022. "Multi-objective performance optimization and control for gas turbine Part-load operation Energy-saving and NOx emission reduction," Applied Energy, Elsevier, vol. 320(C).
    7. Kotowicz, Janusz & Brzęczek, Mateusz & Job, Marcin, 2018. "The thermodynamic and economic characteristics of the modern combined cycle power plant with gas turbine steam cooling," Energy, Elsevier, vol. 164(C), pages 359-376.
    8. Amiri Rad, Ehsan & Kazemiani-Najafabadi, Parisa, 2017. "Thermo-environmental and economic analyses of an integrated heat recovery steam-injected gas turbine," Energy, Elsevier, vol. 141(C), pages 1940-1954.

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