Striking the right balance between costs and benefits when designing a measurement campaign has always been a challenge. Nowadays the situation is more complex due to:

• sophisticated instrumentation options (and their limitations);
• wind farms of larger spatial extent located in more diverse climates;
• advanced flow modelling.

It is no longer a straightforward process deciding on the optimal measurement strategy to minimise uncertainties in the energy assessment for a specific project. Assessing the resulting financial benefit is just as challenging. The interpretation of the data for site classification and thus choice of turbine has also become more complex.

Learning objectives

• Evaluate the most efficient use of instrumentation for a specific site
• Understand and quantify the connection between measurement uncertainty and project economics and loads
• Make a more accurate choice of turbine type
• Express uncertainty variations across the site as the basis for cost-efficient measurement campaigns