TipSpeed offers a digital twin software that combines existing data with physics-based models to analyze wind turbine performance. Their platform provides asset managers and performance experts with independent, continuous assessments and improvement recommendations for all turbines, without requiring additional hardware.
Funding
Funding not disclosed
Founders
Product
Problem
Wind turbine performance analysis is often hindered by biased data from nacelle anemometers and the limitations of localized measurements from masts and lidars. Existing SCADA-based monitoring systems struggle to account for changes in environmental conditions, turbine wear, and software updates, making it difficult to accurately assess true performance and identify optimization opportunities.
Solution
TipSpeed offers a digital twin software that combines existing turbine data with physics-based models to provide independent, continuous performance assessments. The platform delivers turbine-specific time series data, independent from SCADA, that serves as a reference for the true site potential, accounting for all site characteristics. By comparing the digital twin's output with production data, asset managers and performance experts can identify deviations, characterize performance issues, and pinpoint potential gains across all turbines simultaneously, without requiring additional hardware. The software helps users understand where performance improvements are possible by providing continuous screening of turbine performance, enabling the detection of changes such as the operation of a neighboring farm.
Target Audience
The primary users are wind farm asset managers and performance experts seeking independent, continuous assessments and improvement recommendations for all turbines.
Features
- Digital twin software combining existing data with physics-based models (flow, wakes, performance)
- Turbine-specific time series data independent from SCADA
- Continuous performance insights updated through an online application
- Identification of deviations and characterization of performance issues
- Benchmarking of true performance by knowing the resource on every turbine at all times
- Performance assessment and optimizations for all turbines at once
- Continuous screening or reanalysis without any additional hardware