T1 Energy Inc., a manufacturer of solar panels and batteries, announced that Statnett, Norway’s national grid operator, has assigned 50MW of grid power to T1 Energy’s existing industrial building in Mo i Rana, northern Norway.
T1 remains in the interconnection queue for 396MW of power. Separate from the 50MW assignment, T1 is awaiting a decision from Energiklagenemnda, or the Norwegian Energy Complaints Board, on the previously communicated dispute related to the allocation of an incremental 60 MW of grid capacity. T1 says it's grateful the grid operator recognized the importance of this 50MW accelerated power allocation to an existing industrial site.
“T1 is building a solar supply chain to deliver scalable, reliable, and low-cost energy in the United States. Our legacy assets in the Nordics could be developed as world-class data centers utilizing the region’s abundant low-cost power and human capital with a strong industrial heritage,” said Daniel Barcelo, T1 Energy’s Chairman and CEO.
T1 Energy’s Mo i Rana says its facility is near installation-ready and will enable accelerated deployment of AI compute capacity. The 50MW of N-0 power requires an uninterruptible power supply (UPS) and step-down transformer infrastructure to serve anticipated data center loads as early as Q2 2027. The temporary power allotment runs through the end of 2033.
“Access to 50MW is a key step forward. It represents the first phase of a world-class data center development and accelerates our dialogue with parties seeking available, scalable, and secure European AI infrastructure,” said Andreas Bentzen, T1 Energy’s Chief Technology Officer. “Global AI compute demand is expanding faster than new grid capacity. Strategic locations, such as Mo i Rana, where abundant electricity and industrial infrastructure intersect, are in high demand.”
The new 50MW reservation confirmed by Statnett should advance discussions with AI cloud operators, hyperscalers, industrial partners, and financial investors evaluating the site for long-term strategic development. As AI workloads shift to more power-dense GPU clusters and training environments, access to scalable, reliable, and geopolitically stable grids is becoming a key competitive differentiator for operators and investors.
