Ron Nierenberg


1. Data Processing and Analysis

  • Cleaning or “QA”ing
  • Data archiving

2. Windfarm Energy Assessment

  • Data analysis; a qualitative assessment of the wind conditions, such as wind direction, seasonal and daily wind patterns, vertical shear and turbulence
  • Quantitative analysis includes estimates of long term mean speeds and energy yield
  • Terrain modeling is used which looks at atmospheric stability, topography, relative exposure to the met tower and ground cover
  • Array loss estimates using my own empirical model based in part on my DOE studies as well as openWind model

3. Design Windfarm Layouts

  • Layouts evolve over time as property status and constraints may change.
  • Final micro-siting in the field.

4. Turbine/Site Suitability

  • Filling out turbine vendors’ climatological forms that list information about turbulence, shear, expected peak winds, mean speed, wind speed/direction distribution to determine whether or not a given turbine and layout is suitable

5. Define a Measurement Strategy and Monitoring Network

  • Met tower siting, recommend instrumentation

6. Due Diligence

  • Review of another’s energy assessment as well as the associated wind data to make an independent energy assessment

7. Climatological studies and windfarm performance

  • Determination of how windy each month has been compared to normal
  • Calculation what the windfarm output should have been and compare to actual

8. Wind Prospecting

  • Using basic information such as transmission lines and a definition of the area needed to be looked at, look for favorable topography