Virtual met data
Mesoscale weather modelling is an accurate and cost-effective data source for identifying and assessing potential wind farm locations.
Information on local weather conditions is a vital input when planning a new wind energy project. But as renewable energy development spreads into emerging markets and offshore locations, this data isn’t always available – or easily accessible. Project developers could install their own meteorological masts, but the costs can often be prohibitive.
Virtual wind measurements
Our Virtual met data service offers a more cost-efficient alternative. It uses advanced Monte Carlo methods to carry out mesoscale modelling of meteorological conditions. The resulting virtual wind measurements can act as long-term data reference for identifying suitable sites for your renewable energy farm.
Virtual met data can be used to:
- Map wind conditions where no measurement data exists
- Identify possible locations for renewable energy projects
- Assess the feasibility of potential sites
- Determine positions for met masts
- Add longer-term wind time series information to a met mast log
- Provide a historical view of local weather conditions
No two renewable projects are the same, so we provide a world class tailored service for each customer and project. Our experts work closely with you to identify your specific needs and develop a package that meets them. Packages can include:
- Mesoscale wind maps
- Mesoscale time series
For maximum flexibility, results can be supplied in a range of file formats. This tailor-made approach ensures you get results that are accurate and relevant – in an efficient and cost-effective manner.