Surrogate models for parameterized representation of wake-induced loads in wind farms

Nikolay Krasimirov Dimitrov*

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

A procedure for mapping wake-induced load predictions computed with the dynamic wake meandering model to a computationally efficient surrogate model approximation is defined and demonstrated. Using the mapping function, the load variation can be efficiently estimated for a wind farm with arbitrary layout. The resulting load assessment procedure provides continuous, differentiable output with known analytical derivatives and can be used for applications such as wind turbine layout optimization, estimation of turbine lifetime, and uncertainty analysis.
Original languageEnglish
JournalWind Energy
Volume22
Issue number10
Pages (from-to)1371-1389
Number of pages19
ISSN1095-4244
DOIs
Publication statusPublished - 2019

Keywords

  • Layout optimization
  • Loads
  • Neural networks
  • Polynomial chaos
  • Probabilistic
  • Surrogate
  • Wake
  • Wind farm

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