Energy Yield Assessment (EYA)

Import time series data from various sources and formats to build a detailed, location-specific wind climate model backed by real-world data.

Detect and fix issues in your data, fill missing values, and cross-check different sensors to ensure accuracy and consistency in your analysis.

Easily combine and compare data from reanalysis sources like ERA5, MERRA2, and CERRA with onsite measurements from met masts, LiDAR, and SoDAR. This gives you a complete picture of wind conditions using all available information.

Break down wind patterns by month and direction to better plan turbine types, placement, and maintenance strategies that align with seasonal variations.

Extend short-term onsite measurements using long-term reference datasets. Apply industry-standard regression techniques to correct and adjust your data for more long-term predictions.

Simulate wind flow across complex landscapes using WAsP and fast, high-resolution CFD calculations. Estimate wind resources even in hilly or forested areas.

Create clear visuals like wind speed maps and wake interactions. These are great for internal planning and communicating with stakeholders or regulators.

Model how turbines affect each other through wake effects. Analyze different layout scenarios to reduce energy losses and optimize the farm's overall performance.

Use the OPTIMIZER to automatically find the best turbine placements that minimize losses and maximize energy yield — all while saving time in the design process.

Quantify all expected system losses and generate P50, P75, and P90 scenarios. This gives you reliable, finance-ready reports for investment and risk assessment.

Easily compare wind potential, layout options, and constraints across multiple locations. Identify the most promising site for development with confidence.