The physical size of tall structures like wind turbines make them prominent in the landscape
In the preparatory phase of a wind farm, the parties involved often ask questions like ‘how will I experience it in my environment?’ To form an image Wind Minds has developed the following instruments:
Photo montage / visualisation
The new turbines are inserted into the image of the existing landscape. Wind Minds has developed a method for producing accurate, high-quality visualisations. It is also possible to show wind turbines with rotating blades. The photo montages can be presented on paper or digital (see next bullet).
The visualisations are presented in an online environment. A user can look around in a panorama. With the help of clear structure maps the geographic location and viewpoints will be explained. An excellent example can be found at the website of the Dutch Wind Farm Fryslân: Windpark Fryslan.
Real life projection set-up
In order to represent the experience of a new project, photo visualisations must be presented in a large format. Wind Minds has a special visualisation set-up which allows a viewer to experience how a future wind farm will look in the landscape. This visualisation set-up consists of a special curved screen measuring 6 metres by 2.5 metres. This allows the viewer to experience the environment in his full field of vision. See our YouTube video about this real life visualisation screen.
Visibility analysis is often used by professionals to assess the effects of a wind farm on the landscape, especially for large-scale projects. The most important methods are:
- A viewshed is used to indicate at what point in the environment the wind turbines will be visible. We calculate whether the wind turbine is visible from a particular point, whereby account is taken of the blocking effect of intermediate objects such as buildings, trees or contour.
- In a horizon coverage calculation it is determined from different points what part of the horizon is filled with wind turbines.
- A meteorological analysis uses historical weather data to determine how often during a year an object will be visible from a certain distance.