Skip to main content
Log in

Development of a program to simulate the dynamic behavior of heavy-duty gas turbines during the entire start-up operation including very early part

  • Published:
Journal of Mechanical Science and Technology Aims and scope Submit manuscript

Abstract

This study presents a simulation tool for the dynamic behavior during the start-up of heavy-duty gas turbines. The simulation was implemented in MATLAB and can accurately predict the full start-up procedure from zero speed to idling. Each component of the system was modeled as a single control volume or multiple control volumes to which mass and energy balances were applied. The governing equations are solved numerically by the multi-variable Newton Raphson method. The compressor and turbine are divided into several groups for the bleeding and turbine cooling model. The program can simulate the early part of the start-up process from zero rpm to ignition by using the starter module in the cranking process, which can be hard to simulate using commercial software. A heat transfer model was applied to each control volume of the major components to consider the heat soakage effect accurately. The full start-up process of an industrial gas turbine was simulated, and the results were compared with actual operating data for validation. The program is expected to be used for various purposes, especially for estimating an adequate starter capacity and scheduling an optimal start-up procedure of heavy-duty gas turbines.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Abbreviations

a,b,c,d :

Coefficients

a’, b’, c’:

Positions

A :

Area [m2]

A cs :

Component cross-sectional area [m2]

A sf :

Area exposed to flow [m2]

c :

Specific heat [kJ/kg K]

\(\bar{c}_p\) :

Molar specific heat at constant pressure [kJ/kmol K]

D :

Diameter [m]

e :

Error

FSNL :

Full speed no load

f :

Fraction of rotor coolant chargeable to power [-]

G :

Torque [Nm]

Gen :

Generator

H :

Heat transfer coefficient [W/m2 K]

HPC :

High pressure compressor

h :

Enthalpy [kJ/kg]

\(\bar{h}\) :

Molar specific enthalpy [kJ/kmol]

I :

Polar moment of inertia [kgm2]

IGV :

Inlet guide vane

IPC :

Intermediate pressure compressor

i :

Compressor group index

j :

Turbine stage index

K :

Gain

k :

Thermal conductivity [W/m K]

MW :

Molecular weight [kg/kmol]

:

Mass flow rate [kg/s]

m :

Mass [kg]

N :

Revolution per minute [1/min]

n :

Number of compressor group or turbine stage

Nu :

Nusselt number [-]

L :

Length [m]

LHV :

Low heating value [kJ/kg]

LPC :

Low pressure compressor

OP :

Data of positions

P :

Pressure [kPa]

PR :

Pressure ratio [-]

Pr :

Prandtl number [-]

\(\dot{Q}\) :

Heat [MW]

R :

Gas constant [J/kg K]

\(\bar{R}\) :

Molar Gas constant [J/kmol K]

Re :

Reynolds number [-]

S :

Specific entropy [kJ/kg K]

\(\bar{S}\) :

Molar specific entropy [kJ/kmol K]

sf :

Scaling factor

T :

Temperature [K]

t :

Time [s]

WA :

Semi-dimensionless mass flow rate [ms K0.5]

:

Power output [MW]

X :

Variable

x :

Mole fraction [-]

α, β, γ :

Exponents

b, c :

Constants

n, m :

Exponents

0 :

Reference point for property calculation

C :

Coolant

Comb :

Combustor

Comp :

Compressor

cond :

Conduction heat transfer

conv :

Convection heat transfer

D :

Derivative

d :

Design

H :

Hydraulic

I :

Integral

IGV :

Inlet guide vane

in :

Inlet

k :

Gas component

N :

Nozzle blade

o :

Original map

out :

Outlet

P :

Proportional

R :

Rotor blade

s :

Isentropic

sc :

Scaled map

Turb :

Turbine

η :

Efficiency [%]

μ :

Fluid viscosity [Ns/m2]

ν :

Velocity [m/s]

ρ :

Density [kg/m3]

ω :

Angular velocity [rad/s]

Ω:

Combustor loading [-]

References

  1. Team CCJ, Integrating renewables may call for some combined cycles to start twice daily, increasing emissions, Combined Cycle Journal (2012).

    Google Scholar 

  2. General Electric, USA, https://powergen.gepower.com/ [accessed 18.08].

  3. Y. Yoshida, K. Yamanaka, A. Yamashita, N. Iyanaga and T. Yoshida, Coordinated control of gas and steam turbines for efficient fast start-up of combined cycle power plants, Journal of Engineering for Gas Turbines and Power, 139 (2017) 022601-1-9.

  4. L. Balling, Fast cycling and rapid start-up: New generation of plants achieves impressive results, Modern Power Systems, San Francisco, CA 31.1 (2011) 35–41.

    Google Scholar 

  5. Southwest Research Institute, NPSS Ver. 2.4.1.

  6. NLR - Netherlands Aerospace Centre, GSP Ver. 11.4.6.0.

  7. GasTurb GmbH, GasTurb Ver.12.

  8. National Fire Protection Association, USA, http://www.nfpa.or/ [accessed 18.08].

  9. J. H. Kim, T. W. Song, T. S. Kim and S. T. Ro, Dynamic simulation of full startup procedure of heavy-duty gas turbines, ASME, 124 (2002) 510–516.

    Google Scholar 

  10. F. Alobaid, R. Starkloff, S. Pfeiffer, K. Karner, B. Epple and H. G. Kim, A comparative study of different dynamic process simulation codes for combined cycle power plants-Part B: Start-up procedure, Fuel, 153 (2015) 707–716.

    Article  Google Scholar 

  11. I. Rossi, A. Sorce and A. Traverso, Gas turbine combined cycle start-up and stress evaluation: A simplified dynamic approach, Appl Energy, 190 (2017) 880–890.

    Article  Google Scholar 

  12. A. Falah, M. Nicolas, S. Ralf, L. Thomas, H. Christian and E. Bernd, Progress in dynamic simulation of thermal power plants, Progress in Energy and Combustion Science, 59 (2017) 79–162.

    Article  Google Scholar 

  13. A. Benato, S. Bracco, A. Stoppato and A. Mirandola, LTE: A procedure to predict power plants dynamic behaviour and components lifetime reduction during transient operation, Appl. Energy, 162 (2016) 880–891.

    Article  Google Scholar 

  14. H. Asgari, X. Chen, M. Morini, M. Pinelli, R. Sainudiin, P. R. Spina and M. Venturini, NARX models for simulation of the start-up operation of a single-shaft gas turbine, Appl. Therm. Eng., 93 (2016) 368–376.

    Article  Google Scholar 

  15. M. J. Kim and T. S. Kim, Feasibility study on the influence of steam injection in the compressed air energy storage system, Energy, 141 (2017) 239–249.

    Article  Google Scholar 

  16. E. Tsoutsanis, N. Meskin, M. Benammar and K. Khorasani, A dynamic prognosis scheme for flexible operation of gas turbines, Appl. Energy, 164 (2016) 686–701.

    Article  Google Scholar 

  17. A. D. Gaeta, F. Reale, F. Chiariello and P. Massoli, A dynamic model of a 100 kW micro gas turbine fuelled with natural gas and hydrogen blends and its application in a hybrid energy grid, Energy, 129 (2017) 299–320.

    Article  Google Scholar 

  18. S. Bracco and F. Delfino, A mathematical model for the dynamic simulation of low size cogeneration gas turbines within smart microgrids, Energy, 119 (2017) 710–723.

    Article  Google Scholar 

  19. P. P. Walch and P. Fletcher, Gas Turbine Performance, Second Ed., John Wiley & Sons, New Jersey, USA (2004).

    Google Scholar 

  20. E. Tsoutsanis, N. Meskin, M. Benammar and K. Khorasani, A component map tuning method for performance prediction and diagnostics of gas turbine compressors, Appl. Energy, 135 (2014) 572–585.

    Article  Google Scholar 

  21. W. P. J. Visser and I. D. Dountchev, Modeling thermal effects on performance of small gas turbine, ASME Turbo Expo, Montreal, Canada (2015).

    Google Scholar 

  22. M. J. Kim, J. H. Kim and T. S. Kim, Program development and simulation of dynamic operation of micro gas turbines, Appl. Therm. Eng., 108 (2016) 122–130.

    Article  Google Scholar 

  23. M. Vieweg, F. Wolters and R. G. Becker, Comparision of a heat soakage model with turbofan engine data, ASME Turbo Expo, Charlotte, USA (2017).

    Google Scholar 

  24. J. H. Kim, T. S. Kim and S. J. Moon, Development of a program for transient behavior simulation of heavy-duty gas turbines, J. Mechanical Science Technology, 30 (12) (2016) 5817–5828.

    Article  Google Scholar 

  25. MathWorks, MATLAB R2012b.

  26. National Institute Standards and Technology, REFPROP Ver. 9.1.

  27. R. E. Sonntag and G. J. V. Wylen, Introduction to Thermo Dynamics: Classical and Statistical, Third Ed., John Wiley & Sons, New Jersey, USA (1991) 729–730.

    Google Scholar 

  28. T. L. Bergman, F. P. Incropera, D. P. Dewitt and A. S. Lavine, Fundamentals of Heat and Mass Transfer, 7th Ed., Wiley (2011).

    Google Scholar 

  29. GasTurb GmbH, Smooth C Ver. 8.2.

  30. J. F. Sellers and C. J. Daniele, DYNGEN - A program for calculating steady-state and transient performance of turbojet and turbofan engines, NASA TN D-7901 (1975).

    Google Scholar 

  31. F. Payri, J. R. Serrano, P. Fajardo, M. A. Reyes-Belmonte and R. Gozalbo-Belles, A physically based methodology to extrapolate performance maps of radial turbines, Energy Convers Manage, 55 (2012) 149–163.

    Article  Google Scholar 

  32. O. Leufvén and L. Eriksson, A surge and choke capable compressor flow model—Validation and extrapolation capability, Control Engineering Practice, 21 (2013) 1871–1883.

    Article  Google Scholar 

  33. H. I. H. Saravananmuttoo, G. F. C. Rogers and H. Cohen, Gas Turbine Theory, Fifth Ed., Prentice Hall, New Jersey, USA (2001).

    Google Scholar 

  34. GasTurb GmbH, Smooth T Ver. 8.0.

  35. J. H. Kim and T. S. Kim, A new approach to generate turbine map data in the sub-idle operation regime of gas turbines, Energy, 173 (2019) 772–784.

    Article  Google Scholar 

  36. Empresarios Agrupados Internacional, PROOSIS Ver. 3.6.19.

  37. H. G. Münzberg and J. Kurzke, Gasturbinen - Betriebsverhalten und optimierung, Springer-Verlag, Berlin Heidelberg New York (1977).

    Book  Google Scholar 

  38. J. J. Lee, D. W. Kang and T. S. Kim, Development of a gas turbine performance analysis program and its application, Energy, 36 (2011) 5274–5285.

    Article  Google Scholar 

  39. Voith Torque Converter Starting System for Gas Turbines, Germany, www.voithturbo.com/variable-speed/ [accessed 18.08].

  40. A. Beyene and T. Fredlund, Comparative analysis of gas turbine engine starting, ASME Turbo Expo, New York, USA (1998).

    Google Scholar 

  41. R. K. Agrawal and M. Yunis, A generalized mathematical model to estimate gas turbine starting characteristics, J. Eng. Power, 104 (1) (1982) 194–201.

    Article  Google Scholar 

  42. S. C. Chapra and R. P. Canale, Numerical Methods for Engineers, Sixth Ed., McGraw-Hill, New York, USA (2010).

    Google Scholar 

  43. A. J. Giampaolo, Gas Turbine Handbook: Principles and Practices, 3rd. Ed., Fairmont Press (2006).

    Google Scholar 

  44. J. J. Valencia and P. N. Quested, Thermophysical properties, ASM Handbook, 15 (2008) 468–481.

    Google Scholar 

Download references

Acknowledgments

This work was supported by the Korea Institute of Energy Technology Evaluation and Planning (KETEP) and the Ministry of Trade, Industry & Energy (MOTIE) of the Republic of Korea (No. 2013101010170A).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Tong Seop Kim.

Additional information

Recommended by Associate Editor Minsung Kim

J. H. Kim received his Ph.D. degree from Dept. of Mechanical Engineering, Inha University in 2018 and is currently a research member of Aerospace R&D Center in Hanwha Aerospace. His major research topic is simulation of gas turbine operation.

T. S. Kim received his Ph.D. degree from Dept. of Mechanical Engineering, Seoul National University in 1995. He has been with Dept. of Mechanical Engineering, Inha University since 2000. His major research interest is design and analysis of gas/steam turbine systems and advanced energy systems.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kim, J.H., Kim, T.S. Development of a program to simulate the dynamic behavior of heavy-duty gas turbines during the entire start-up operation including very early part. J Mech Sci Technol 33, 4495–4510 (2019). https://doi.org/10.1007/s12206-019-0845-5

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12206-019-0845-5

Keywords

Navigation