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Case Study – Gas-Turbine Combustor CFD Model


The challenge

A gas-turbine manufacturer builds land gas-turbines fuelled by natural gas. The manufacturer must convince the operator that the flame in the combustion chambers of the gas-turbine will remain stable at all operating conditions, with no risk of flash-back and damage to the engine.


The solution

The gas-turbine is equipped with sixteen combustion chambers arranged at 22.5° intervals inside an annular casing. Atkinson Science used state-of-the-art computational fluid dynamics (CFD) software to create a CFD model consisting of a single combustion chamber and a 22.5° sector of the annular casing, plus a section of the nozzle guide vane assembly downstream of the combustion chamber. The NGV assembly was scaled to give an integer number of vanes downstream of the chamber. Figures 1 and 2 show isometric and side views of the CFD model.


Figure 1  Isometric view of the CFD model

Figure 2  Side view of the CFD model

Isometric view of the CFD model Side view of the CFD model


The CFD model has three inflows and three outflows. The three inflows consist of the air supply at the outlet from the compressor, the main fuel supply and the pilot fuel supply. All three flows were specified in terms of total temperature and total pressure. The three outflows consist of the flow of hot combustion gases at the outlet from the nozzle guide vanes and two bleed flows from the annular casing. The flow from the NGVs was specified in terms of the static pressure. This static pressure was determined from a separate computation of the flow through the NGVs based on the measured total temperature and total pressure of the flow leaving the combustion chamber and the measured mass flow. If the static pressure is specified correctly then the flow through the NGVs should choke at the measured mass flow. The bleed flows were given their measured values.

The combustion chamber is an example of dry, low emissions (DLE) combustor technology in which the mixture of fuel and air is intentionally lean to prevent NOx emissions. The air supply and the main fuel supply are passed through swirl vanes before they enter the chamber. The swirl causes a back-flow along the centreline of the chamber which keeps the mixture alight. We specified total conditions at all inlets. Consequently, any variations in static pressure in the combustion chamber will cause the flows of fuel and air to fluctuate and may create an instability that is characteristic of DLE combustors.

The turbulence in the flow was modelled with the differential stress model of Ref. [1]. The k-ε model, which is a possible alternative, has a tendency to produce too much turbulence in swirling flows and might inhibit any natural instability. The combustion of natural gas and air was modelled with the laminar flamelets model of Ref. [2] in conjunction with a reaction progress variable. The progress variable predicts the degree to which the mixture has burnt and indicates the position of the flame front which separates burnt mixture from unburnt mixture. This combination of turbulence model and combustion model has been used many times before to compute lean premixed flames and is known to give accurate predictions of flame speed – see, for example, Refs. [3] to [6].

The CFD model contained a total of 8.8 million mesh elements – enough to resolve the flow features in every part of the model. Each fuel hole and air hole was meshed individually to ensure that the profile of velocity was resolved properly. Figures 3 to 6 give an indication of the density of the meshing in the CFD model.


Figure 3  Fuel injector and swirler

Figure 4  Main fuel holes and swirler

Fuel injector and swirler Main fuel holes and swirler

Figure 5  Fuel injector end face

Figure 6  Main fuel hole

Fuel injector end face Main fuel hole


We simulated the flow and combustion in the combustion chamber time-accurately at ten operating points: full power, 70% power and 50% power at air inlet temperatures of 228 K, 288 K and 318 K, plus idling at 288 K. The time-step size was 0.05 milliseconds – small enough to resolve any flow or combustion transients – and the total number of time steps was 250 for a total simulation time of 12.5 milliseconds. From the results of each computation we created a movie of the flame based on the temperature in the combustion chamber. Figures 7 and 8 show snapshots after 7.5 and 12.5 milliseconds from the movie for the full power, 288 K condition. The outer edge of the flame at the combustion chamber wall appears wrinkled because the flame flickers like a real flame. However, the flame front – the interface between the cool unburnt mixture and the hot burnt mixture – remains fixed. Over the course of the movie there was no sign of an instability that might lead to flash-back and damage to the combustion chamber. We created movies for the other nine conditions, but we could not discern an instability mechanism in any of them. We were led to the conclusion that the combustion chamber was, in fact, well-designed with a very stable flame at all of the operating points considered.


Figure 7  Temperature after 7.5 ms

Figure 8  Temperature after 12.5 ms

Temperature after 7.5 ms Temperature after 12.5 ms


The benefits

With assistance from Atkinson Science, the gas turbine manufacturer was able to demonstrate to the operator that the engine was free from the risk of combustion instability at the operating conditions considered. Our movies of the flame had the characteristics of a real flame, but we could find no sign of an instability mechanism that might lead to flash-back and damage to the combustion chamber.


References

  1. C. G. Speziale, S. Sarkar and T. B. Gatski, "Modeling the pressure-strain correlation of turbulence: an invariant dynamical systems approach," Journal of Fluid Mechanics, Vol. 227, pp. 245-272, 1991.
  2. N. Peters, "Laminar diffusion flamelet models in non-premixed combustion," Progress in Energy and Combustion Science, Vol. 10, pp. 319-339, 1984.
  3. F. Biagioli, "Stabilization mechanism of turbulent premixed flames in strongly swirling flows," Combustion Theory and Modelling, Vol. 10, pp. 389-412, 2006.
  4. W. Polifke, P. Flohr and M. Brandt, "Modelling of inhomogeneously premixed combustion with an extended TFC model," Journal of Engineering for Gas Turbines and Power, Vol. 124, pp. 58-65, 2002.
  5. F. Biagioli, V. L. Zimont and K. J. Syed, "Modelling and simulation of gas combustion in DLE burners based on a turbulent flame closure approach," Proceedings of the International Joint Power Generation Conference and Exposition, New Orleans, Louisiana, USA, 4-7 June 2001.
  6. V. L. Zimont, W. Polifke, M. Bettelini and W. Weisenstein, "An efficient computational model for premixed turbulent combustion at high Reynolds numbers based on a turbulent flame speed closure," Journal of Engineering for Gas Turbines and Power, Vol. 120, pp. 526-532, 1998.

Acknowledgement

Atkinson Science acknowledges the contributions of G-J. Sims and J. P. Wood to this work.