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Kjeller Vindteknikk & Greenside Partnership

Through its partnership with Kjeller Vindteknikk (KVT), Greenside brings Nordic expertise in wind engineering and icing analysis to the Turkish renewable energy market. Leveraging KVT’s 25+ years of experience and proven modelling tools, Greenside adapts and localizes these data products and methodologies to provide accurate, bankable insights for investors and operators across Turkey.

Icing Loss Modelling in the Planning Stage

In the planning and energy yield assessment phase of wind power projects, icing losses are a critical factor that directly impacts the project’s annual energy production (AEP) and financial performance.
Using KVT’s IceLoss model, the icing conditions in each region are simulated with long-term meteorological data and microscale modelling.
This process identifies expected annual energy losses due to icing events, allowing developers to:
Incorporate realistic loss factors into P50/P90 production estimates,
Evaluate turbine type suitability based on climatic and topographic conditions,
And define mitigation or de-icing strategies in the design stage.

This enables bankable, data-driven production analyses, ensuring that investors and lenders have a technically sound understanding of potential energy performance.

Production & Icing Forecasting for Operational Wind Farmse

For operational wind farms, Greenside and KVT provide day-ahead and intraday production forecasts that integrate both meteorological predictions and icing risk modelling. By combining mesoscale weather forecasts with local measurement data, the model generates short-term production forecasts with high temporal and spatial accuracy. The system continuously adjusts forecasts using real-time SCADA and met data, accounting for possible icing-induced losses. As a result, operators can: Optimize bidding strategies in day-ahead and balancing markets, Minimize production imbalance costs, And improve overall predictability and financial stability of the plant. This approach — already used widely in Northern Europe — now supports Turkish wind farms with the same level of forecasting precision.

Wind Energy Data Services

KVT’s long-term WRF-based wind datasets, adapted by Greenside for Turkey, provide 1 km × 1 km resolution microscale wind data across the entire country. These datasets are developed through dynamic downscaling and calibration using local measurement stations, terrain data, and satellite-based surface parameters. This allows Greenside to deliver: Reliable wind resource data for unmeasured or early-stage sites, Rapid pre-feasibility and energy yield estimations, And consistent long-term reference datasets for MCP (Measure-Correlate-Predict) and due diligence studies. Together, these tools enable fast, accurate, and bankable assessments even in regions with limited measurement infrastructure — empowering developers and investors to make informed decisions early in the project lifecycle.