Expert reports made a breeze

The basis for rapid planning and funding

Quick clarity for investors

In 2022, the German government introduced a law to increase the share of areas designated for wind power to at least two percent of the country’s land area. This expansion aims to meet the demand for self-sufficiency using renewable energies. The foundations for strong wind power growth in Germany have thus been laid. To ensure a wind park’s economic success, precisely determining its wind power potential and yields is absolutely paramount. A wind assessment report is essential for evaluating the site and securing funding. Planning requirements are increasing and consequently so will the capital needed to build wind power plants. With that in mind, bank investment security and the need to speed up processing steps are becoming increasingly important.

Maximum digitalization leads to time savings

Preparing wind assessment reports can be complex and time-consuming, usually taking several months. The assessor has to conduct on-site inspections, comply with a range of formalities, potentially obtain additional expert reports, and put the entire process in order. Our DWA (digital wind assessment) takes a fraction of the time by digitalizing layout checks and data analyses, creating a wind model, and providing other beneficial features. The DWA structures tasks from start to finish and collects the data in a central location. This digitalized solution saves you time because it enables you to submit funding application documents more quickly. The result is a wind assessment report that meets all the requirements of the FGW’s Technical Guideline 6 “Determination of wind potential and energy yields” (TG 6).

Our expertise feeds into your profits

Drawing on years of experience in a wide range of areas in the energy sector and in using machine learning to optimize processes, we offer you a wealth of expertise:

• Calculation of the average wind speed and energy yields of various park layouts pursuant to TG 6 to use for approaching banks and investors
• Determination of yield losses in order to realistically map the energy yields expected in the long term
• Long-term correction of operational data or wind measurements using multiyear reanalysis time series
• Additional verification using the latest machine learning methods
• Optimization of the park layout
• Precise calculation of the park layout using a CFD model that better maps sites on complex terrain