Siemens Gamesa and the Danish Centre for AI Innovation (DCAI) have started a collaboration to develop Denmark’s first industrial AI programme, using the Danish AI supercomputer Gefion. The initiative combines Siemens Gamesa’s engineering expertise with Denmark-hosted AI infrastructure to support large-scale optimisation of industrial and energy systems.
The first project will focus on applying AI and machine learning to wind energy infrastructure. Using Gefion’s computing capacity, Siemens Gamesa engineers aim to:
- Analyse entire wind farms in minutes rather than days, enabling faster simulation and optimisation of energy output.
- Predict and reduce energy losses through AI-based airflow modelling, opening up new optimisation strategies.
- Support maintenance and reliability with AI-driven condition monitoring, using operational data to anticipate potential faults.
The collaboration is expected to improve turbine performance, reduce maintenance requirements and enhance overall energy production.
Gefion, hosted in Denmark, runs on NVIDIA DGX systems and the WEKA high-performance data platform, providing faster AI model training, secure data handling under Danish sovereignty, and energy-efficient operations powered by renewable energy.
