On 1 March GE Renewable Energy unveiled its plan to develop the largest, most powerful offshore wind turbine available, the Haliade-X. It will feature a 12 MW direct drive generator, show a gross capacity factor of 63 %, and produce 45 % more energy than any other offshore turbine available today, says GE, which aims to supply its first nacelle for demonstration in 2019 and ship the first units in 2021.
GE will invest more than $400 million over the next three to five years in development and deployment of the Haliade-X. John Flannery, chairman and CEO of GE, said, "We want to lead in the technologies that are driving the global energy transition. Offshore wind is one of those technologies and we will bring the full resources of GE to make the Haliade-X programme successful for our customers."
Rising 260 meters over the sea the Haliade-X 12 MW will carry a 220 m rotor. Designed and manufactured by LM Wind Power, the 107 m long blades will be the longest offshore blades manufactured to date. One 12 MW turbine will generate up to 67 GWh annually. Jérôme Pécresse, president and CEO of GE Renewable Energy said, "The renewables industry took more than 20 years to install the first 17 GW of offshore wind. Today, the industry forecasts that it will install more than 90 GW over the next 12 years. This is being driven by lower cost of electricity from scale and technology. The Haliade-X shows GE's commitment to the offshore wind segment and will set a new benchmark for cost of electricity, thus driving more offshore growth."
The Haliade-X platform is designed to offer greater efficiency in generating power from the wind that is available. The 63 % aimed at gross capacity factor is five to seven points above the current industry benchmark.
To design and build the Haliade-X platform, GE Renewable Energy is relying on an unprecedented collaboration across GE companies, including its onshore wind team, with 50 000 turbines in the field, the blade expertise of LM Wind Power; GE Power and GE Aviation engineers and GE Digital for supporting digital modelling, analytics and app development.