Empirical Results Suggest Quasi-Monte Carlo Sampling Increases Accuracy in the Estimation of Annual Energy Production from Operational Data

Jordan Perr-Sauer, Nicola Bodini, Stephen Becker, Eric Simley, Rob Hammond, Jason Fields

Research output: NRELPoster

Abstract

Quasi-Monte Carlo sampling was implemented in the OpenOA annual energy production analysis method. Preliminary results show that this method improves the order of the asymptotic convergence of OpenOA’s AEP estimates.
Original languageAmerican English
StatePublished - 2022

Publication series

NamePresented at the North American Wind Energy Academy (NAWEA) Wind Technology Conference, 20-22 September 2022, Newark, Delaware

NREL Publication Number

  • NREL/PO-2C00-83810

Keywords

  • annual energy production
  • OpenOA
  • operational analysis
  • quasi-Monte Carlo

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