Development of FAST.Farm: A New Multiphysics Engineering Tool for Wind-Farm Design and Analysis

Jason Jonkman, Jennifer Annoni, Greg Hayman, Bonnie Jonkman, Avi Purkayastha

Research output: Contribution to conferencePaperpeer-review

33 Scopus Citations


This paper presents the development of FAST.Farm, a new multiphysics tool applicable to engineering problems in research and industry involving wind farm performance and cost optimization that is needed to address the current underperformance, failures, and expenses plaguing the wind industry. Achieving wind cost-of-energy targets—which requires improvements in wind farm performance and reliability, together with reduced uncertainty and expenditures—has been eluded by the complicated nature of the wind farm design problem, especially the sophisticated interaction between atmospheric phenomena and wake dynamics and array effects. FAST.Farm aims to balance the need for accurate modeling of the relevant physics for predicting power performance and loads while maintaining low computational cost to support a highly iterative and probabilistic design process and system-wide optimization. FAST.Farm makes use of FAST to model the aero-hydro-servo-elastics of distinct turbines in the wind farm, and it is based on some of the principles of the Dynamic Wake Meandering (DWM) model, but avoids many of the limitations of existing DWM implementations.

Original languageAmerican English
Number of pages24
StatePublished - 2017
Event35th Wind Energy Symposium, 2017 - Grapevine, United States
Duration: 9 Jan 201713 Jan 2017


Conference35th Wind Energy Symposium, 2017
Country/TerritoryUnited States

Bibliographical note

See NREL/CP-5000-67528 for preprint

NREL Publication Number

  • NREL/CP-5000-68537


  • DWM
  • dynamic wake meandering model
  • FAST
  • FAST.Farm
  • wake and array effects
  • wind farm design and analysis


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