ACE-FWICC Research

ACE-FWICC brings together scientists and engineers who will apply a wide range of domain science expertise and complex models, combined with

Illustration showing floating offshore wind turbines

scientific machine learning, to develop scientific machine learning (SciML)-based surrogate models of different parts of the floating offshore wind turbine system. These simplified models will be merged into a holistic representation of the digital energy system, allowing researchers to (1) better understand how floating offshore wind resources will behave and (2) develop new strategies to reduce energy costs in current and changing climates.

The ACE-FWICC team will answer basic science questions about the phenomena affecting floating offshore wind turbines while connecting traditionally separate efforts in diverse fields. The center’s research is organized around four themes that encompass the essential components of a digital energy system.

  • Metocean Theme
  • Turbine and Farm Theme
  • Grid Theme
  • SciML Digital Energy System Theme