Project – WindGISKI – Leibniz University Hannover

The main objectives of the project are the development and evaluation of an AI-based GIS for the designation of potential areas for wind turbines, which on the one hand systematises and automates the identification and evaluation process of possible potential areas and on the other hand process of identifying and evaluating potential areas, and on the other hand improve the number and quality of potential areas designated in the future. The AI-based GIS should ultimately help to ensure that in future the existing potential areas for wind turbines (greenfield and repowering potential) can be exploited more extensively and efficiently, thereby significantly increasing the total installed capacity of wind turbines in Germany.

Scientific and/or technical objectives of the project

objective ID & short description

Z.1: Detailed fine concept in the extended, interdisciplinary project consortium

Detailed
Description

Revised/expanded definitions of target variables and characteristics that simultaneously meet the above-mentioned objectives and can be mapped comprehensively on the data side (fk-wind).
Database and simulation designs (see 3.) that simultaneously meet the performance and accuracy requirements of the project.
and accuracy requirements of the project (Nefino)
Evaluation and piloting concepts that test the quality of the AI to be developed by means of field research over the test period.
AI to be developed by means of field research beyond the test and validation data (UOL).

Objective ID &

short description

Z.2: Area-wide collection of data suitable for the definition of target variables and characteristics of the data basis

Detailed description

Recording of the current and historical area for onshore wind turbines
at the level of regional planning and at the municipal level in Germany
(Nefino)
Recording of current and historical legal actions and grounds in connection with onshore wind in connection with onshore wind farms and areas (IPH)
Comprehensive survey of a large number of possible factors influencing the quality of potential sites from various disciplines (Nefino)

Objective-ID & Short description

Z.3: Development of a GIS-capable database structure suitable for simulation and AI applications.

Detailed description

High-performance simulations of area-specific energy yield potentials as well as the dimensions of immission protection (noise, shadow flicker and (noise, shadow flicker and crowding effect), which allow the area-wide generation of area-specific characteristics (ISD).
Area-wide mapping of avifaunal conflict risks (ARSU)
Allocation of the multitude of interdisciplinarily located features to the priority areas of current and historical areas (TNT)

Objective-ID & short description

Z.4: Development and validation of a performant AI.

Detailed description

Better understanding of the complex interrelationships between the various
characteristics of an area and its suitability for wind turbines (IPH)
Better understanding of the characteristics of historically designated priority
of historically designated priority areas (TNT)
Implementation of an AI-based and explicable (i.e. transparent)
assessment of the quality of any given area for wind turbines (TNT)

Objective-ID & short description

Z.5: Carry out an evaluation of the AI by means of expert interviews and case studies in the field

Detailed description

Comparison of the prediction accuracy of the area quality between AI-based and scoring models derived from expert surveys(fk-wind)
Understanding of influencing factors, interaction dynamics and processes in the processes in connection with wind turbine projects, which, from a social science perspective discrepancies between the predicted and real quality of areas for wind of areas for wind turbines (UOL)
Validated simulations of energy yield, acoustics, shadow flicker and avifaunal and avifaunal conflict risks (ISD)
Comparison of the areas identified by the KI with analyses of potential areas regional spatial planning programmes (LEE)

Objective-ID & Short description

Z.6: Introduce potential users to AI and the AI-based GIS to be developed.

Detailed description

Development of a high-performance GIS, which allows the application of AI- and expert-based scoring to any planning region in Germany (Nefino)
User feedback for the selection of new potential areas in selected planning regions by means of AI-based land evaluatio(LEE)
Handouts and communication concept on the output and on the
possibilities and limitations of AI-based GIS for the potential target groups of the solution of the solution (planners, project developers) (IPH)