Unsteady Wetness Effects in LP Steam Turbines Kane Chandler, Alex White and John Young Hopkinson Laboratory Cambridge University Engineering Department.

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Presentation transcript:

Unsteady Wetness Effects in LP Steam Turbines Kane Chandler, Alex White and John Young Hopkinson Laboratory Cambridge University Engineering Department Supported by EPSRC and Alstom

Introduction ● Steam condenses into fog of droplets in LP turbine ● High losses in nucleating stage ● Droplet size information required to predict loss Entropy Enthalpy Measurements taken by P.T. Walters

Broad Droplet Size Distributions Hypothesis Caused by unsteady wake-chopping effects

Previous Work Gyarmathy & Spengler 1974 Total temperature fluctuations observed in exit flows Bakhtar & Heaton 1988 Estimation of effect on droplet sizes by statistical model Guha & Young 1994 Refined the statistical model using Lagrangian style nucleation and droplet growth calculations Petr & Kolovratnik 2000 Compared statistical calculations to measurements for a 200 MW LP turbine

Numerical Scheme ● TBLOCK by John Denton – Dedicated turbomachinery gas flow solver ● Steady and unsteady calculations – Dual time stepping – Viscous effects using body force model – Turbulence using mixing length model ● Steam properties included in lookup tables – Based on Virial Equation of state truncated at 2 nd term – Accurate up to 5 bar ● Poly-dispersed droplets treated by moments

Validation: Unsteady Nozzle Calculations ● Supercritical heat addition from condensation causes unsteadiness ● Asymmetric mode possible in nozzles with low expansion rates ● Observed in moist air experiments ● True time step must be less than ~1 μs

Validation: Unsteady Nozzle Calculations

Q3D Calculation for a Two Stage LP Turbine ● Final stages based on model turbine geometry ● Perfect gas calculation used to create Q3D geometry at mid span ● Compare steady and unsteady calculations ● Steady calculation averages the variables in a plane between the rows

Q3D Results: Wakes Entropy Contours for a gas calculation Contours of exp(-Δs/R)

Q3D: Fluctuating Nucleation Rate

Q3D: Droplet Sizes Nucleation in Final Row T 0, Inlet = 453 K

3D Two Stage Turbine: Nucleation ¼ span ½ span ¾ span Near tip

3D: Droplet Sizes at ½ Span Droplet size contours for steady calculation

3D: Droplet Sizes at ½ Span Size contours for unsteady calculation

3D: Droplet Sizes at ½ Span

Summary / Conclusions  Unsteady wake segmentation clearly has a significant impact on the droplet spectra  2-stage Q3D calculations indicate a strong dependence on inlet superheat  Full turbine calculations, however, might not show the same sensitivity due to unsteadiness generated by upstream blade rows  3D unsteady calculations for a 5 stage machine are now within easy reach (anticipated run time: ~8 hrs on 25-core cluster)  Wakes downstream affect the growth of droplets  Hot wakes may cause secondary nucleation in later stages  Further calculations with more rows required to confirm the importance of wake chopping

3D Contour Plots Streamlines ½ Span surface