BUILDING VR UTILITY FOR ENERGY APPLICATIONS
Energy and solar 3D optimiser development
We are developing a groundbreaking tool that allows for the modelling of solar irradiation that would be generated on a decimetre accurate grid within a selected portion of a roof on a 3D model. The technology involves directly manipulating the geo-referenced data sets, including scaling, rotation, and translation, and a suite of geometric measurement tools, including length, area, and volume.
Solar Rooftop PV market is booming and the tech isn’t keeping up
In South Africa the demand for Solar power is at an all time high, with many businesses and residential property owner having to install extensive solar arrays.
The South African rooftop solar market is expected to register a CAGR of 8.06% over the forecast period, from 1155 MW in 2020 to 2553 MW in 2027.
Improved accuracy
What we are hoping to bring to the market is to appreciably improve the accuracy of energy performance predictions of solar cells in various locations. This is achieved through the integration of a wider range of data inputs such as including roof angle, surrounding vegetation and buildings that could affect the consistency of sunlight that reaches the solar cell.
Once again, using drones, these improvements were in the design of a more efficient design, integrated with hi-resolution cameras to record a greater amount of detail, and a control logic to enable its application in more densely populated urban environments
photogrammetry techniques through the integration of this drone captured data with existing terrain data, digital elevation models, weather models, and the specifications of solar cells to enable more accurate analysis of its energy performance in a given location.