1. Site map
In WindFarmer: Analyst, the site map is a key tool for understanding your project.
Download, import and visualize the elevation data, background image and GIS data you need to assess wind farm energy production. Visualize and understand wind flow calculation results on the map and prepare attractive reports with auto-generated maps.
2. Measurement campaign
Define your measurement campaign by placing masts, remote sensors, reference stations and reanalysis data on the map.
Add a detailed historical record of instruments used to ensure trace-ability. Load time series signals into the project and apply instrument calibrations and time offset corrections to ensure quality.
3. Clean measured data
Real world sensors can malfunction, suffer weather damage, such as icing and degrade over time.
WindFarmer: Analyst provides a powerful DirectX accelerated visualization tool for ensuring wind measurement quality control.
Our cleaning practices and tools have been developed over decades, allowing our analysts to ensure that erroneous climatic measurements that could bias predictions are excluded from energy production assessments.
4. Reconstruct missing measurements
WindFarmer: Analyst has the tools to optimize the data reconstruction strategy to minimize wind climate uncertainty.
Long measurement campaigns mean higher costs. However, a longer measurement period also reduces wind climate uncertainty. If you have missing measurement data due to instrument failure or have reduced measurement campaign costs by restricting the number of measurements taken from across the site, WindFarmer: Analyst has the tools to minimize the uncertainty in your wind climate prediction.
5. Wind shear analysis
DNV's extensively validated wind shear model is coming soon to WindFarmer: Analyst.
DNV's wind shear model allows you to analyze multi hub-height projects quickly and accurately. The methodology was derived through a validation exercise against more than 200 masts from across the world and WindFarmer: Analyst shares this model with you.
Fit a shear model to your measurements at each mast. Use the model to extrapolate wind speeds from measurement height to each turbine hub height.
6. Long-term adjustment
A tool for long term analysis and adjustment of wind speeds is coming soon to WindFarmer: Analyst.
Wind speed variability from one year to another is a key source of unpredictability and accurately forecasting wind speeds helps to minimize uncertainty in your wind analysis.
DNV's long-term wind speed adjustment model allows you to use years of historical reference data to predict corrections to high-resolution on-site measurements. Reference wind speed data can have a weaker correlation with on-site measurements than a pair of on-site measurements, so careful analysis is needed to get added value from these sources.
7. Site set up
WindFarmer: Analyst provides user-friendly tools for configuring your wind farm. Use intuitive map tools and spreadsheet-like tables to configure locations and properties.
WindFarmer: Analyst helps you to configure turbine types, wind farm groupings of turbines, turbine locations, wind sector management strategies. If you make a mistake you can undo then redo these actions.
8. Wind flow modelling
You can automate WAsP, use your own flow model or use the WindFarmer: Analyst simple model for quick analyses.
Intuitively apply the association method, understand the directional speed up predictions from the flow model and adjust mean wind speeds to remove known modelling deficiencies.
9. Wake and energy modelling
As the number of wind farm installations grow and neighbouring wind farms become more common, the energy loss from wakes can become the most significant loss for a project.
Use the validated WindFarmer: Analyst wake models to accurately predict wake effects and turbulence for each turbine. The energy model calculates the annual energy prediction and quantifies the magnitude of wind sector management, hysteresis and wake losses.
The Eddy Viscosity model is WindFarmer: Analyst’s leading wake model. It uses a computational fluid dynamics (CFD) algorithm to calculate the wind speed, energy losses and turbulence increases caused by wakes of turbines within a farm. The Eddy Viscosity model has been heavily optimized and makes use of parallel processing, enabling the evaluation of wakes for 10,000 wind speed and direction flow cases for 100 turbines in under 10 minutes on a desktop computer.or a project.
10. Report and export results
Project stakeholders usually require a report to demonstrate analysis traceability.
By generating many elements of the energy production assessment report automatically, WindFarmer: Analyst makes report generation faster and reduces errors.
WindFarmer: Analyst enables you to take your analysis even further by providing the tools to export detailed results.
11. Wind farm optimization
A wind farm layout optimized for energy yield is different to a layout optimized for cost. Thus, WindFarmer: Analyst provides an extendable optimization framework to allow you to define your own optimization target.
Constraints need to be defined to optimize a layout within WindFarmer: Analyst. These constraints include the buildable area, turbine separation and any position locked turbines.
It is possible to then run a selection of optimization routines to search for the best regular or irregular layout. The top layouts are stored for later review.
The default optimization target is maximum energy yield. However, this is not always enough. We have created a special cost-benefit script type to allow you to customize the optimization target. With a cost-benefit script, you can optimize your financial metrics within WindFarmer: Analyst's optimization framework.
WindFarmer: Analyst provides a powerful C# scripting interface to automate repetitive tasks, integrate seamlessly into your own processes and tools, and extend existing functionality when bespoke models are needed. WindFarmer: Analyst's script allows you to automate the tools in the user interface, run calculations and programmatically read the results.