The conventional wisdom around wind is that the technology runway for improvement is short. GE believes just the opposite. We see a long runway that will only increase wind’s presence in our present and future energy picture.
With the power of software, analytics and advanced manufacturing technologies backing them, GE engineers have created the first BrilliantTM Wind Turbine that will push the boundaries of efficiency and power output to new heights.
Along with increasing performance, we’re developing new technologies to reduce the manufacturing and operating costs of wind. The integration of GE’s advanced battery technology with wind turbines and development of an innovative low-cost manufacturing approach to reduce blade production costs will all contribute to putting wind on more economic footing with traditional fossil fuels.
GE’s Brilliant Wind Turbine integrates energy storage, advanced controls and forecasting algorithms to manage the variability of wind and position it for a subsidy-free world. It’s a dynamic platform that literally allows communication throughout the turbine’s entire ecosystem between the turbine, farm, service tech, remote operations, grid and battery. Developers and operators may select the application or combination of applications that best suit individual site needs, including the ability to capture and store “wasted” wind power to respond immediately to load changes with ultimate precision, and/or being able to provide consistent and predictable power to the grid by smoothing out short-term peaks and valleys.
How the Turbine Works
Tens of thousands of data points are analyzed every second on a farm to integrate hundreds of megawatts onto the grid. The system has six interconnections that communicate with each other: turbine to turbine, farm to farm, farm to grid, turbine to remote operations center (ROC), turbine to battery and turbine to tech. Through these communications, power output and management can be optimized for grid operators. Wind will become more flexible and fast-responding to changing conditions, which is key for an overall grid infrastructure that has to account for higher degrees of variability.