M.O.S.S. Computer Grafik Systeme GmbH

Hohenbrunner Weg 13DE82024Taufkirchen
Phone:+49 (0)89 66675-100
Fax:+49 (0)89 66675-180
Digital planning: GIS-based, optimised and integrated wind farm planning

Digital planning with M.O.S.S.: GIS-based optimised wind farm planning with integrated CAD, open, flexible, partially automated and embedded in your own systems and processes.


GIS-based wind farm planning, with no format breaks, including CAD integration, embedded in your own processes, highly flexible, partially automated, and server-based.

Web service for buffering official building footprints for white area analyses

We have acquired the complete ALKIS database of building footprints and their attributes for the whole of Germany and have placed it online as a password-protected web service. Wind farm planners can use the information to analyse the buffering requirements of residential areas close to the area where a wind farm is being planned, taking into account the particular specifications of the responsible regional planning authorities and depending on whether the building project is located in an urban or rural zone. The results can then be downloaded in a shapefile, after which they can easily be integrated with other baseline data in a local GIS in which they can be further combined with other data and analyses.

Wind farm planning & IT infrastructure (Wind-PIA)

Rather than proceeding in chronological order, wind farm planning processes tend to be iterative and seemingly reliable results can change again and again throughout the process. This makes it all the more important for project developers to work on the basis of structured, standardised, and coordinated planning processes. Wind-PIA provides the means to make wind farm planning processes more efficient by using a standardised geodata and information exchange system. To optimise the process, technical, structural, and organisational hurdles that arise during the planning process are identified and removed, e.g., by reducing task duplication, avoiding data conversions and projection changes or local and redundant data storage. In this way, wind farm planning processes can become significantly more efficient and integrated.

more data:
  • Founded: 1987
  • Employees: 65