IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v120y2017icp1012-1024.html
   My bibliography  Save this article

Dynamic modeling of an industrial gas turbine in loading and unloading conditions using a gray box method

Author

Listed:
  • Mehrpanahi, Abdollah
  • Payganeh, Gholamhasan
  • Arbabtafti, Mohammadreza

Abstract

Using industrial gas turbines is on the rise because of their flexibility and structural diversity in different conditions and different industries. One of the multi-axial turbines produced in Iran is MGT-30 and there is an extensive program for their use in power generation and oil and gas industries. In this paper, dynamic modeling and analysis of the behavior of this type of turbines in the loading and unloading conditions are considered. Modeling was done by combining the thermodynamic equations and the equations derived from the values of some key parameters in two scenarios. In the first one, modeling was done based on the plant performance line and the model outputs were set according to the input disturbance to the system. In the second scenario, off-design conditions were achieved by adjustable parameters based on the system's physical condition. In addition, the application of the disturbances' effect of changing the type of fuel and ambient temperature on the ideal system's performance was investigated. Validation of the model for LPT exhaust temperature, PT's power and adaption of compressor's operation line was also carried out. Furthermore, the results of the model adaptation with Qeshm power plant on actual system conditions were provided.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:energy:v:120:y:2017:i:c:p:1012-1024
    DOI: 10.1016/j.energy.2016.12.012
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544216318163
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2016.12.012?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. Haglind, F. & Elmegaard, B., 2009. "Methodologies for predicting the part-load performance of aero-derivative gas turbines," Energy, Elsevier, vol. 34(10), pages 1484-1492.
    2. Kim, T.S. & Hwang, S.H., 2006. "Part load performance analysis of recuperated gas turbines considering engine configuration and operation strategy," Energy, Elsevier, vol. 31(2), pages 260-277.
    3. 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.
    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. Żymełka, Piotr & Szega, Marcin, 2020. "Issues of an improving the accuracy of energy carriers production forecasting in a computer-aided system for monitoring the operation of a gas-fired cogeneration plant," Energy, Elsevier, vol. 209(C).
    2. Wang, Chong & Ju, Ping & Wu, Feng & Lei, Shunbo & Hou, Yunhe, 2021. "Coordinated scheduling of integrated power and gas grids in consideration of gas flow dynamics," Energy, Elsevier, vol. 220(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. Yucer, Cem Tahsin, 2016. "Thermodynamic analysis of the part load performance for a small scale gas turbine jet engine by using exergy analysis method," Energy, Elsevier, vol. 111(C), pages 251-259.
    2. Park, Yeseul & Choi, Minsung & Kim, Kibeom & Li, Xinzhuo & Jung, Chanho & Na, Sangkyung & Choi, Gyungmin, 2020. "Prediction of operating characteristics for industrial gas turbine combustor using an optimized artificial neural network," Energy, Elsevier, vol. 213(C).
    3. Huang, Zhifeng & Yang, Cheng & Yang, Haixia & Ma, Xiaoqian, 2018. "Off-design heating/power flexibility for steam injected gas turbine based CCHP considering variable geometry operation," Energy, Elsevier, vol. 165(PA), pages 1048-1060.
    4. Haglind, F., 2010. "Variable geometry gas turbines for improving the part-load performance of marine combined cycles – Gas turbine performance," Energy, Elsevier, vol. 35(2), pages 562-570.
    5. Liu, Zuming & Karimi, Iftekhar A., 2020. "Gas turbine performance prediction via machine learning," Energy, Elsevier, vol. 192(C).
    6. Kim, Jeong Ho & Kim, Tong Seop, 2019. "A new approach to generate turbine map data in the sub-idle operation regime of gas turbines," Energy, Elsevier, vol. 173(C), pages 772-784.
    7. 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).
    8. Kim, Sunjin & Kim, Min Soo & Kim, Minsung, 2020. "Parametric study and optimization of closed Brayton power cycle considering the charge amount of working fluid," Energy, Elsevier, vol. 198(C).
    9. 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.
    10. Cheng, Xianda & Zheng, Haoran & Dong, Wei & Yang, Xuesen, 2023. "Performance prediction of marine intercooled cycle gas turbine based on expanded similarity parameters," Energy, Elsevier, vol. 265(C).
    11. Leonardo Pierobon & Tuong-Van Nguyen & Andrea Mazzucco & Ulrik Larsen & Fredrik Haglind, 2014. "Part-Load Performance of aWet Indirectly Fired Gas Turbine Integrated with an Organic Rankine Cycle Turbogenerator," Energies, MDPI, vol. 7(12), pages 1-23, December.
    12. Satya Gopisetty & Peter Treffinger, 2016. "Generic Combined Heat and Power (CHP) Model for the Concept Phase of Energy Planning Process," Energies, MDPI, vol. 10(1), pages 1-17, December.
    13. Lee, Jong Jun & Jeon, Mu Sung & Kim, Tong Seop, 2010. "The influence of water and steam injection on the performance of a recuperated cycle microturbine for combined heat and power application," Applied Energy, Elsevier, vol. 87(4), pages 1307-1316, April.
    14. Kim, Min Jae & Kim, Jeong Ho & Kim, Tong Seop, 2018. "The effects of internal leakage on the performance of a micro gas turbine," Applied Energy, Elsevier, vol. 212(C), pages 175-184.
    15. Zhang, Yi & Xu, Yujie & Zhou, Xuezhi & Guo, Huan & Zhang, Xinjing & Chen, Haisheng, 2019. "Compressed air energy storage system with variable configuration for accommodating large-amplitude wind power fluctuation," Applied Energy, Elsevier, vol. 239(C), pages 957-968.
    16. Liya Ren & Huaixin Wang, 2020. "Optimization and Comparison of Two Combined Cycles Consisting of CO 2 and Organic Trans-Critical Cycle for Waste Heat Recovery," Energies, MDPI, vol. 13(3), pages 1-16, February.
    17. Sayyaadi, Hoseyn & Mehrabipour, Reza, 2012. "Efficiency enhancement of a gas turbine cycle using an optimized tubular recuperative heat exchanger," Energy, Elsevier, vol. 38(1), pages 362-375.
    18. Benato, Alberto & Stoppato, Anna & Mirandola, Alberto, 2015. "Dynamic behaviour analysis of a three pressure level heat recovery steam generator during transient operation," Energy, Elsevier, vol. 90(P2), pages 1595-1605.
    19. Orlandini, Valentina & Pierobon, Leonardo & Schløer, Signe & De Pascale, Andrea & Haglind, Fredrik, 2016. "Dynamic performance of a novel offshore power system integrated with a wind farm," Energy, Elsevier, vol. 109(C), pages 236-247.
    20. Jiménez-Espadafor Aguilar, Francisco & García, Miguel Torres & Trujillo, Elisa Carvajal & Becerra Villanueva, José Antonio & Florencio Ojeda, Francisco J., 2011. "Prediction of performance, energy savings and increase in profitability of two gas turbine steam generator cogeneration plant, based on experimental data," Energy, Elsevier, vol. 36(2), pages 742-754.

    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:120:y:2017:i:c:p:1012-1024. 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.