Siemens Gamesa has chosen the Danish Centre for AI Innovation’s Gefion supercomputer to support the development of advanced artificial intelligence models aimed at optimising large-scale wind energy infrastructure, the company said.
Engineers at Siemens Gamesa will use the system to develop and train AI tools that can rapidly analyse wind farm performance. The company said the models will allow operators to simulate and optimise energy output more quickly than current methods. According to Siemens Gamesa, the supercomputer will also help predict and reduce energy losses while improving maintenance planning and turbine reliability.
“Over the past few decades, our developments have established wind energy as one of the most important sources of electricity, particularly in Europe but also around the world,” said Vinod Philip, executive vice president for wind power at Siemens Energy. “The rapid evolution would not have been possible without the use of industrial AI.”
Danish Minister for Industry, Business and Financial Affairs Morten Bødskov said the initiative would strengthen both national manufacturing and the country’s clean-energy leadership. “This will allow the company to finely tune its wind turbine development, and it is a major step forward for both Danish manufacturing and our green stronghold,” he said.
