Computational fluid dynamics

Computational fluid dynamics

The industry’s most accurate wind flow modelling helps minimize risk and maximize returns for planned wind farms.

Planning and building a new wind farm is a major undertaking. Investors and other stakeholders need reassurance that risk has been mitigated. Accurate wind flow modelling is a key step in optimizing wind farm design, reducing uncertainty and maximizing returns.

Accurate wind flow modelling
Our Computational fluid dynamics (CFD) services offer the most accurate wind flow simulations available. Based on the terrain and meteorology data of your site, we model the wind flow to predict wind speeds with minimal error. From this, we can identify where the wind speed is highest and lowest, and predict your energy output – invaluable input for optimizing the design of your site.

Our validated, cutting-edge CFD model captures complex terrain elements, such as steep slopes and forestry, as well as atmospheric phenomena such as stability, for the highest accuracy. In addition to mapping wind speeds, our model can provide insight into several factors that affect turbine layout and design, including:

  • Flow inclination angle
  • Flow separation
  • Shear
  • Turbulence

We can also provide insight into a number of factors that affect turbine design.

Trusted the world over
Our CFD services have been independently recognized as the most accurate in the industry. They have been deployed in hundreds of commercial projects, on every continent. We continually validate our models based on data from all these sites, so you can be sure of the continued accuracy and reliability that you would expect from us.

Contact us:

Jim Bleeg

Jim Bleeg

Head of CFD and Principal Researcher

Related information

Have a look at our leaflet and related services.

Computational fluid dynamics flyer

Download the Computational fluid dynamics flyer for more information.

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The most accurate post-construction energy forecasts for renewable energy projects – based on actual operational data and advanced analytic techniques.

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Validated pre-construction wind farm energy output predictions help you mitigate risk and build confidence in your project among prospective partners and customers.

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WindFarmer

Our intuitive wind farm design tool, support service and training packages help you optimize your wind farm and maximize profits.

Virtual met data

Mesoscale weather modelling is an accurate and cost-effective data source for identifying and assessing potential wind farm locations.

An extensive validation of CFD flow modelling

DNV GL paper presented at DEWEK 2015, May 2015. DNV GL has produced the only validation of modern wind farm flow models known to DNV GL that you can trust. It is unique because it has statistical significance, meaning the industry can trust the results. Other validations to date probably would not meet the criteria for statistical significance, and hence would be risky to trust.

Modelling stability at microscale, both within and above the atmospheric boundary layer, substantially improves wind speed predictions

DNV GL paper presented at EWEA, November 2015.

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