Wind Farm Designer
Customise and create a wind farm in an easy-to-use interface, positioning turbines, anchors, and mooring lines. Quickly generating scenarios for simulation and optimisation.
Utilising FieldTwin to build your DesignTwin of your wind farm enables you to:
There are several features available in the wind farm designer. The user can:
- Set the location of their wind farm based on a polygon drawn in FieldTwin or a geojson file that is uploaded.
- Select the turbine type, foundation type, anchor type and mooring line design.
- The metadata associated with the wind turbines is generated with the layout in FieldTwin.
- Set the minimum turbine spacing.
- Apply turbine and foundation direction.
- Set the number of anchors per turbine, if it is a floating wind farm
- The minimum anchor radius from the turbine.
- The Snap distance, which means, if the anchors from different turbines are within a set distance, they will share the same anchor.
- The grid orientation, allows the user to choose which direction the wind farm should be orientated.
- The grid type, allows the user 3 options for the base design, rectangular, radial, or triangular.
Simulation and Optimisation Features
The tool integrates with global wind atlas to show and utilise low-resolution Met-ocean data. Serving historical average wind speed, power, density, frequency with wind rose as reactive metadata at a farm scale. Other features include:
- Enhanced FieldTwin yield calculator for realistic AEP utilising Pywake.
PyWake is used to simulate the wake interaction in a wind farm in a computationally inexpensive way for a range of steady state conditions. It is very useful for computing the power production of a wind farm while considering the wake losses for a specific wind farm layout configuration. After running Pywake, the simulation returns a flow map and a table of results , giving a total AEP with and without Wake losses for each turbine.
- Integrated with Topfarm for wind farm optimisation based on AEP.
The optimisation uses TopFarm, in the first version this is carried out to optimise in relation to AEP. So, it returns an optimised position for each turbine relating to the wake effect and the AEP implications of that wake effect on AEP in the wind farm. Topfarm relies on Pywake for the information needed in order to create a new optimised layout.