IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v267y2023ics0360544222034703.html
   My bibliography  Save this article

An improved semi-analytical model for evaluating performance of gas turbine power plants

Author

Listed:
  • Pourhedayat, Samira
  • Hu, Eric
  • Chen, Lei

Abstract

The hot intake air would compromise the power generation performance of a gas turbine (GT). Therefore, GT pre-cooling technologies are studied and applied for GT plants. This paper proposes an improved validated semi-analytical GT model, which can be used to simulate the performance of GT plants under a wide range of intake air conditions. The new model developed is improved, compared to previous models, in the following three aspects: 1) the volumetric flow rate of intake air is no longer assumed to be constant when the temperature of intake air changes; 2) the output temperature of the combustion chamber (CC) is no longer assumed to be a constant either, but depending on air temperature/humidity into the CC and the fuel/air ratio, and 3) the improved model can evaluate the performance of the GT power plant, in terms of power output and thermal efficiency of the plant, directly and explicitly from the intake air conditions of the compressor, which was not possible in the previous models. Deviations between results of the present model and experimental data are less than 3%. In addition, sensitivity analysis of both ambient conditions and GT characteristics is performed as a sample application of the new model which is programed using Engineering Equation Solver (EES) software.

Suggested Citation

  • Pourhedayat, Samira & Hu, Eric & Chen, Lei, 2023. "An improved semi-analytical model for evaluating performance of gas turbine power plants," Energy, Elsevier, vol. 267(C).
    • Handle: RePEc:eee:energy:v:267:y:2023:i:c:s0360544222034703
    DOI: 10.1016/j.energy.2022.126583
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544222034703
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2022.126583?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Zongming Yang & Mykola Radchenko & Andrii Radchenko & Dariusz Mikielewicz & Roman Radchenko, 2022. "Gas Turbine Intake Air Hybrid Cooling Systems and a New Approach to Their Rational Designing," Energies, MDPI, vol. 15(4), pages 1-18, February.
    2. Wadhah Hussein Al- Doori, 2011. "Parametric Performance of Gas Turbine Power Plant with Effect Intercooler," Modern Applied Science, Canadian Center of Science and Education, vol. 5(3), pages 173-173, June.
    3. Matjanov, Erkinjon, 2020. "Gas turbine efficiency enhancement using absorption chiller. Case study for Tashkent CHP," Energy, Elsevier, vol. 192(C).
    4. Lee, Jong Jun & Kang, Do Won & Kim, Tong Seop, 2011. "Development of a gas turbine performance analysis program and its application," Energy, Elsevier, vol. 36(8), pages 5274-5285.
    5. Najjar, Yousef S.H. & Al-Absi, Suhayb, 2013. "Thermoeconomic optimization for green multi-shaft gas turbine engines," Energy, Elsevier, vol. 56(C), pages 39-45.
    6. Huang, Zhiwen & Li, Tong & Huang, Kexin & Ke, Hanbing & Lin, Mei & Wang, Qiuwang, 2022. "Predictions of flow and temperature fields in a T-junction based on dynamic mode decomposition and deep learning," Energy, Elsevier, vol. 261(PA).
    7. Pourhedayat, Samira & Hu, Eric & Chen, Lei, 2022. "Simulation of innovative hybridizing M-cycle cooler and absorption-refrigeration for pre-cooling of gas turbine intake air: Including a case study for Siemens SGT-750 gas turbine," Energy, Elsevier, vol. 247(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Gong, Linjuan & Hou, Guolian & Li, Jun & Gao, Haidong & Gao, Lin & Wang, Lin & Gao, Yaokui & Zhou, Junbo & Wang, Mingkun, 2023. "Intelligent fuzzy modeling of heavy-duty gas turbine for smart power generation," Energy, Elsevier, vol. 277(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yang, Cheng & Huang, Zhifeng & Ma, Xiaoqian, 2018. "Comparative study on off-design characteristics of CHP based on GTCC under alternative operating strategy for gas turbine," Energy, Elsevier, vol. 145(C), pages 823-838.
    2. Andrii Radchenko & Mykola Radchenko & Hanna Koshlak & Roman Radchenko & Serhiy Forduy, 2022. "Enhancing the Efficiency of Integrated Energy Systems by the Redistribution of Heat Based on Monitoring Data," Energies, MDPI, vol. 15(22), pages 1-18, November.
    3. Wang, Hui & Wang, Zelin & Qu, Zhiguo & Zhang, Jianfei, 2023. "Deep-learning accelerating topology optimization of three-dimensional coolant channels for flow and heat transfer in a proton exchange membrane fuel cell," Applied Energy, Elsevier, vol. 352(C).
    4. Cheng, Xianda & Zheng, Haoran & Yang, Qian & Zheng, Peiying & Dong, Wei, 2023. "Surrogate model-based real-time gas path fault diagnosis for gas turbines under transient conditions," Energy, Elsevier, vol. 278(PA).
    5. Kayadelen, Hasan Kayhan, 2018. "A multi-featured model for estimation of thermodynamic properties, adiabatic flame temperature and equilibrium combustion products of fuels, fuel blends, surrogates and fuel additives," Energy, Elsevier, vol. 143(C), pages 241-256.
    6. 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).
    7. Liangkai Li & Jingguang Huang & Zhenxing Li & Hao Qi, 2023. "Optimized Dispatch of Regional Integrated Energy System Considering Wind Power Consumption in Low-Temperature Environment," Energies, MDPI, vol. 16(23), pages 1-19, November.
    8. Jesus L. Lobo & Igor Ballesteros & Izaskun Oregi & Javier Del Ser & Sancho Salcedo-Sanz, 2020. "Stream Learning in Energy IoT Systems: A Case Study in Combined Cycle Power Plants," Energies, MDPI, vol. 13(3), pages 1-28, February.
    9. Cassetti, G. & Rocco, M.V. & Colombo, E., 2014. "Exergy based methods for economic and risk design optimization of energy systems: Application to a gas turbine," Energy, Elsevier, vol. 74(C), pages 269-279.
    10. Kheir Abadi, Majid & Davoodi, Vajihe & Deymi-Dashtebayaz, Mahdi & Ebrahimi-Moghadam, Amir, 2023. "Determining the best scenario for providing electrical, cooling, and hot water consuming of a building with utilizing a novel wind/solar-based hybrid system," Energy, Elsevier, vol. 273(C).
    11. Abubaker, Ahmad M. & Darwish Ahmad, Adnan & Salaimeh, Ahmad A. & Akafuah, Nelson K. & Saito, Kozo, 2022. "A novel solar combined cycle integration: An exergy-based optimization using artificial neural network," Renewable Energy, Elsevier, vol. 181(C), pages 914-932.
    12. 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.
    13. Alvaro A. S. Lima & Gustavo de N. P. Leite & Alvaro A. V. Ochoa & Carlos A. C. dos Santos & José A. P. da Costa & Paula S. A. Michima & Allysson M. A. Caldas, 2020. "Absorption Refrigeration Systems Based on Ammonia as Refrigerant Using Different Absorbents: Review and Applications," Energies, MDPI, vol. 14(1), pages 1-41, December.
    14. Ayşe Fidan Altun, 2022. "A Conceptual Design and Analysis of a Novel Trigeneration System Consisting of a Gas Turbine Power Cycle with Intercooling, Ammonia–Water Absorption Refrigeration, and Hot Water Production," Sustainability, MDPI, vol. 14(19), pages 1-22, September.
    15. Teichgraeber, Holger & Brodrick, Philip G. & Brandt, Adam R., 2017. "Optimal design and operations of a flexible oxyfuel natural gas plant," Energy, Elsevier, vol. 141(C), pages 506-518.
    16. Mehrpanahi, Abdollah & Payganeh, Gholamhasan & Arbabtafti, Mohammadreza, 2017. "Dynamic modeling of an industrial gas turbine in loading and unloading conditions using a gray box method," Energy, Elsevier, vol. 120(C), pages 1012-1024.
    17. Zongming Yang & Volodymyr Korobko & Mykola Radchenko & Roman Radchenko, 2022. "Improving Thermoacoustic Low-Temperature Heat Recovery Systems," Sustainability, MDPI, vol. 14(19), pages 1-16, September.
    18. 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.
    19. Victoria Kornienko & Mykola Radchenko & Andrii Radchenko & Hanna Koshlak & Roman Radchenko, 2023. "Enhancing the Fuel Efficiency of Cogeneration Plants by Fuel Oil Afterburning in Exhaust Gas before Boilers," Energies, MDPI, vol. 16(18), pages 1-20, September.
    20. Zongming Yang & Roman Radchenko & Mykola Radchenko & Andrii Radchenko & Victoria Kornienko, 2022. "Cooling Potential of Ship Engine Intake Air Cooling and Its Realization on the Route Line," Sustainability, MDPI, vol. 14(22), pages 1-15, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:267:y:2023:i:c:s0360544222034703. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.