Saarblitz, Wind farm in HDR, flickr.com, creative commons by-nc-sa 2.0

WakeBlaster 2.0

Submitted by Wolfgang Schlez... on May 2, 2017 - 6:52pm
Main hypothesis

ProPlanEn developed this solver specifically for modelling the waked flow in wind farms.  WakeBlaster is a clould based calculation engine offered as SaaS. The software focuses on accurate modelling of the most important aspects of a wind turbine wake.  WakeBlaster's balance between computational performance and accuracy is targeted at industry users. As a 3D RANS solver it is modelling wake-wake and wake-ground interaction that is not well captured by current industry models. WakeBlaster is suitable for wind farms with a few to thousands  of turbines. WakeBlaster 2 refines modelling the waked flow under different stability conditions - now characterised by a flow case specific Monin-Obukhov Length.

Software
Solver
WakeBlaster, 3D RANS
License
Regime
Turbulence
Turbulence closure
Turbulence model

The eddy viscosity is defined using local flow conditions, specific for each node of the domain.

Atmospheric boundary layer
Range
Coriolis
No
Atmospheric Stability
Atmospheric Stability
Yes
Stability model
Modified shear profile, and turbulence, Monin Obukhov Similarity Theory
Canopy
Forest canopy
No
Wind farm
Wind turbine
Yes
Rotor model
Wake model
Wind farm range
Additional information

The purpose built sover operates on a terrain following structured grid with resolution of 0.1D.   

WakeBlaster does not model individual wakes and superimposes the results but instead models the flow over the whole wind farm area and injects for each turbine a momentum deficit to represent the extraction.

WakeBlaster uses a non-axis symmetric model considering in 3D the interaction between wakes and the boundary layer and wakes.

As a result of above: superposition is not by empiric approximation but integral part of solving the equations.

Remarks

Considers per wind turbine instance: time and wind dependent wind turbine operational modes and states. (technical and environmental curtailments, hysteresis).

Computational performance: a flow case for a wind farm of 100 turbines is calculated in a few seconds on a single core.

References

Wolfgang Schlez, Philip Bradstock, Michael Tinning, Staffan Lindahl, Vassilis Kostopoulos, Development of a Real Time Wind Farm Simulator, Wind Europe, OffshoreWind 2017, London, June 2017.

Wolfgang Schlez, Philip Bradstock, Michael Tinning, Staffan Lindahl, Vassilis Kostopoulos, Julian Pett, Numerical Wind Farm Flow Simulation - Development of a new Wake Model for Industrial Application. IEA Task 11 TEM88, September 2017.

Wolfgang Schlez, Virtual Wind Farm Simulation - a closer look at the WakeBlaster project, WindTech International, Volume 13, No 6, September 2017.

Wolfgang Schlez, Philip Bradstock, Michael Tinning, Staffan Lindahl,  WakeBlaster - Understanding Wind Farm Performance - a simulator to dynamically and accurately predict wind farm power output. Wind Europe Annual Conference, Amsterdam, November 2017.

Please refer to www.wakeblaster.net for the most recent publications.