Comparison of Wind Farm Layout Optimization Results Using a Simple Wake Model and Gradient-Based Optimization to Large Eddy Simulations

Jared J. Thomas, Jennifer Annoni, Paul Fleming, Andrew Ning

Research output: Contribution to conferencePaperpeer-review

14 Scopus Citations

Abstract

The models used during wind farm layout optimization use simplifying assumptions that can alter the design space. Some characteristics of the simple models may negatively influence the resulting layouts. In this paper, we perform wind farm layout optimization using a simple wake model and compare the resulting improvements to large-eddy simulation (LES) results to confirm that the layout was actually improved. We begin by describing the models used, including changes specific for use with gradient-based optimization. We then compare our models’ output to previously published model and LES results. Using the models described, we performed gradient-based wind farm layout optimization using exact gradients. Power production for the original and optimized layouts were recalculated using LES. The model and LES results were then compared. The simple models predicted an improvement in annual energy production (AEP) of 7.4%, while the LES reported an AEP improvement of 9.9%. We concluded that the improvements found by optimizing with the simple models are not just an artifact of the model characteristics, but are real improvements.

Original languageAmerican English
DOIs
StatePublished - 2019
EventAIAA Scitech Forum, 2019 - San Diego, United States
Duration: 7 Jan 201911 Jan 2019

Conference

ConferenceAIAA Scitech Forum, 2019
Country/TerritoryUnited States
CitySan Diego
Period7/01/1911/01/19

Bibliographical note

See NREL/CP-5000-72924 for preprint

NREL Publication Number

  • NREL/CP-5000-74503

Keywords

  • gradient-based optimization
  • large-eddy simulations
  • modeling
  • wakes
  • wind energy

Fingerprint

Dive into the research topics of 'Comparison of Wind Farm Layout Optimization Results Using a Simple Wake Model and Gradient-Based Optimization to Large Eddy Simulations'. Together they form a unique fingerprint.

Cite this