Wind Turbine Optimization
Maximize wind power generation with optimized turbine settings
Although wind turbines operate on a centuries old method of using available winds to spin blades mounted to a rotating hub, the scale and sophistication of modern wind turbines requires highly advanced monitoring and operations technology to achieve maximum efficiency and equipment lifespan. It also continuous adjustments to account for never ending fluctuations in wind and weather conditions.
Currently turbine settings are typically driven by limited, physics-based rules. However to achieve maximum wind power, a solution needs to account for complex turbine design parameters as well as external data sources and this is an area that is challenging for current systems. To optimize the wind output generated by a wind turbine, historical data and machine learning techniques need to be integrated in a real-time manner and applied to an entire wind farm to optimize total output. By analyzing data from a variety of onboard sensors and SCADA devices, edge intelligence can be used to enable real-time adjustments to the blade pitch, turbine orientation or yaw, rotor speed, blade tip speed, and electrical power regulation to optimize turbine settings for maximum power output.
Edge intelligence can combine data gathered from turbines with wind speed and direction to continuously maximize the wind generated output. Most wind farms are located in remote areas and an edge intelligence solution can provide the advantage of being able to analyze data locally in real-time without relying on continuous wide area network availability. It can manage all machine operation and adjustments autonomously at the edge of the network while delivering selected information that is not time-sensitive to a centralized cloud-based management center where analysis of individual turbine data, as well as entire wind farms, can be processed. Edge intelligence solutions can increase energy output, decrease operational costs, and increase turbine uptime.