Evaluation of potential areas – wind atlas
Wind mapping (mean speed, energy density, Weibull parameters, turbulence, wake effects, etc.) – Regional wind atlas –Wind resource maps.
Wind measurement campaign
Optimize your met mast location for better results later on.
Wind and solar energy yield assessment
Measure – Correlate – Predict (MCP) and meteorological data analysis
Meteodyn extrapolates short term available wind measurements to the desired long term data (usually from 1 year to 10 years).
Wind assessment over complex terrains – CFD modelling
Meteodyn computes wind or solar resources over all terrains (mountains, forests, ridges, etc.)
Wake effect and production assessment
Wake effects between wind turbines are calculated to accurately estimate turbine lifespan and production losses.
Wind farm and photovoltaic farm in the same site
Meteodyn calculates the impact of adding a wind project to an existing PV farm and offers the best location for wind turbines. Similarly Meteodyn can calculate the impact of adding a PV project to an existing wind farm and offers the best location for PV pannels.
Energy assessment in urban area – wind and urban PV systems
Meteodyn takes into account the actual geometry of the site to assess the wind/solar potential and energy production potential.
Profitability and feasibility of project
Site turbine suitability – IEC compliance
Meteodyn analyzes the site/turbine combination to comply with the IEC – 61400 1 standard and help you select the adequate wind turbine class for an optimal wind farm.
Optimization of turbine/panel layout
According to the site geometry, wake effects and turbine/panel constraints, Meteodyn computes the best location for turbines/panels in wind/solar plants to increase their energy yield.
Extreme wind analysis on site
Available storm data from a long period are extrapolated to each turbine position to calculate the 50-year extreme wind speed at each wind turbine hub height.
Include meteorological data analysis, Measure – Correlate – Predict (MCP), power curves (P90, P75), turbulence analysis, etc.
Wind and solar power forecast
Very short term forecasting (0-4 hours)
The combined use of statistical, physical modeling methods and mesoscale forecast together with on-site real-time measurements ensures the most reliable very short-term forecasting.
Short term forecasting (0-5 days)
Forecasting mesoscale data are processed with our CFD model to the site and are combined with a statistical correction. Therefore we provide the entire farm and each wind turbine power output. Wind power forecasting which contemplate air density, atmospheric stability classes and wake effects.
Automatic neural network using SCADA data
Operations and maintenance
Scada post assessment tool
Meteodyn’s research and development team has developed a complete tool for wind farm monitoring:
- Wind farm/turbine statistical parameter calculation:
Real production, production losses, capacity factor, daily average production, daily average wind speed, time-based availability and energy-based availability.
- Smart state detection of wind turbines in operation:
Normal, curtailment, stop, under production, over production, measurement failure based on wind speed and output power.
- Power curve measurement:
Obtain the real power curve of each wind turbine directly from your SCADA data.
- Power curve correction:
Modify the power curve to comply with IEC standards.
- Manufacturer power curve comparison:
Compare actual power curves to the manufacturer’s power curve.
- Time series zooming of operation points.
- Real production and reachable production comparison for wind turbine/wind farm:
Monthly view and cumulative view for the whole park or for each wind turbine.
- Performance analysis tool:
Analyze the variations in power curves from different wind turbines, months or wind directions.
- Turbine comparison tool:
Comparison of one selected parameter between any two turbines.
- Cross data tool:
Analyze the relationship between any two wind turbine parameters.