20 Jan 2022
20 Jan 2022
Status: a revised version of this preprint is currently under review for the journal WES.

Comparison of Large Eddy Simulations against measurements from the Lillgrund offshore wind farm

Ishaan Sood1, Elliot Simon2, Athanasios Vitsas1, Bart Blockmans1, Gunner C. Larsen2, and Johan Meyers1 Ishaan Sood et al.
  • 1Mechanical Engineering, KU Leuven, Celestijnenlaan 300, Leuven 3001, Belgium
  • 2DTU Wind Energy, Technical University of Denmark, Lyngby 2800, Denmark

Abstract. Numerical simulation tools such as Large Eddy Simulations (LES) have been extensively used in recent years to simulate and analyze turbine-wake interactions within large wind farms. However, to ensure the reliability of the performance and accuracy of such numerical solvers, validation against field measurements is essential. To this end, a measurement campaign is carried out at the Lillgrund offshore wind farm to gather data for the validation of an in-house LES solver. Flow field data is collected from the farm using three long-range WindScanners, along with turbine performance and load measurements from individual turbines. Turbulent inflow conditions are reconstructed from an existing precursor database using a scaling-and-shifting approach, proposed so that the generated inflow statistics match the measurements. Thus, 5 different simulation cases are setup, corresponding to 5 different inflow conditions at the Lillgrund wind farm. Operation of the 48 Siemens 2.3 MW turbines from the Lillgrund wind farm is parameterized in the flow domain using an Aeroelastic Actuator Sector Model (AASM). Time-series turbine performance metrics from the simulated cases are compared against field measurements to evaluate the accuracy of the optimization framework, turbine model and flow solver. In general, results from the numerical solver show good comparison in terms of power production, turbine loading and wake recovery. Nevertheless, larger errors for a few turbines in the wind farm across the simulated cases reveal the need for an improved controller implementation, and possibly a finer simulation grid for capturing wake turbulence.

Ishaan Sood et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on wes-2021-153', Anonymous Referee #1, 23 Mar 2022
    • AC1: 'Reply on RC1', Ishaan Sood, 06 Sep 2022
    • AC3: 'Reply on RC1', Ishaan Sood, 06 Sep 2022
  • RC2: 'Comment on wes-2021-153', Anonymous Referee #2, 29 Jun 2022
    • AC2: 'Reply on RC2', Ishaan Sood, 06 Sep 2022

Ishaan Sood et al.

Ishaan Sood et al.


Total article views: 593 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
413 162 18 593 8 5
  • HTML: 413
  • PDF: 162
  • XML: 18
  • Total: 593
  • BibTeX: 8
  • EndNote: 5
Views and downloads (calculated since 20 Jan 2022)
Cumulative views and downloads (calculated since 20 Jan 2022)

Viewed (geographical distribution)

Total article views: 550 (including HTML, PDF, and XML) Thereof 550 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
Latest update: 06 Oct 2022
Short summary
In this work, we conduct a validation study to compare a numerical solver against measurements obtained from the offshore Lillgrund windfarm. By reusing a previously developed inflow dataset, the atmospheric conditions at the wind farm were successfully recreated, and the general performance trends of the turbines were captured well. The work increases the reliability of numerical wind farm solvers, while highlighting the challenges of accurately representing large wind farms using such solvers