Right decisions in wind power investments start with the right data. We are with you at every stage of your project, from site selection to permitting.
Areas expected to deliver high yield are identified using wind atlas data, nearby measurement stations and the production data of operating plants. Site boundaries are drawn taking into account criteria such as existing licensed/unlicensed projects, bird migration routes, and radar and DHMİ (State Airports Authority) restrictions. At this first stage, several candidate sites are compared and the most suitable options are presented to the investor.
Meteorological parameters such as wind speed, direction, temperature, humidity and pressure are recorded at the hub height of the planned turbine through mast and/or LIDAR measurements lasting at least one year. Installation and calibration of the measurement equipment and data quality control are critical for the reliability of the process. Throughout the campaign, regular site visits are made to maintain the equipment and check data integrity.
The collected measurement data is compared with nearby station data and long-term reference datasets (measure-correlate-predict methods) to establish a long-term representation of the wind resource. How well the short-term site measurement reflects the site's long-term wind character is tested statistically, and measurement uncertainties are reduced systematically.
Factors such as topography, surface roughness, turbulence effects and terrain slope are evaluated for site suitability. Smooth, low-slope hills are considered ideal, while turbulence risk is examined separately on rugged slopes. This assessment feeds directly into turbine selection and the layout plan.
Wind resource data, the selected turbine models and the site layout are combined to calculate annual energy production and losses. Factors such as wake losses between turbines, electrical losses, availability and grid constraints are included in the model, and production estimates are presented for different probability scenarios such as P50/P90.
The plant's expected hourly production profile is produced; this data is used in grid connection applications, balancing responsibility calculations and financial modelling. Seasonal and daily production fluctuations are reported separately.
Turbine curtailment scenarios that may be required due to shadow flicker, noise restrictions or grid demands are modelled, and the impact of production loss is calculated. The effect of different curtailment strategies on total production and revenue is presented comparatively.
We provide follow-up and consulting across all permitting and regulatory processes, from licensed/unlicensed applications and environmental assessment to connection agreements. Correspondence and paperwork with the relevant authorities are coordinated from start to finish.
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