AI can accelerate the renewable energy transition

Did you know that AI can accelerate the renewable energy transition? Turbine sensor data can be turned into actionable insights that organizations can use to drive an effective business. AI can help O&M organizations reduce the cost of renewable energy by accurately detecting mechanical faults in advance. Avoiding unexpected component failure enabling cost-efficient repairs, and […]

Stargazing with Machine Learning

By Jonas Svenstrup Hansen   Machine learning is transforming the wind energy industry, driven by the requirement for scalable data analysis to reduce costs. Observation of the universe is a domain increasingly dominated by huge telescope projects that produce vast quantities of complex data. Both fields thus share a common problem: There is too much data […]

Centralizing Blade Data to Better Manage Wind Assets during and after COVID-19

Wind turbine fleet

Global organizations including workforces within the wind industry, have had to grapple with the life-changing and challenging impact of COVID-19 in the past few months. Many of us may be facing times ahead that are ambiguous, uncertain, and unpredictable. Beyond these concerns, the call for social distancing measures have also pushed companies towards adequately preparing […]

Standardization of Blade Damage Categorization: Critical to the Future of Wind Energy

Wind turbine blade damage

Technology Pushes Blade Performance Technological development in the wind industry has been notable over the last decade. The industry is maturing, which ultimately brings down the cost of generated electricity. Offshore is booming and wind turbines are going “big.” Rated power has crossed 10MW, and blade length has reached 100m. All of this was made […]