Project overview:
Computational Control Co-design Approach for Offshore Wind Farm Optimization
Awardee:
Stony Brook University
Start Date:
Q3, 2020
Technical Challenge Area:
Fixed Structure Engineering
Completion Date:
Q1, 2025
Synopsis:
This project will develop and validate a novel open-source modeling tool that combines high-fidelity computational fluid dynamics (CFD), atmospheric, and ocean models for analyzing real-world wind and wave effects on turbines, including yaw-based wake steering and pitch control strategies.
Target Outcomes:
1
An open-source reduced order model (ROM) allowing practical analysis of the effects of real-life wind and wave conditions on turbines and arrays, with consideration of turbine control strategies such as yaw-based wake steering and individual or collective pitch control.
2
By integrating high-fidelity models and control strategies, the project aims to improve the accuracy of predictions and assessments related to offshore wind farm performance.
3
The project may contribute to increased operational efficiency in offshore wind farms by providing insights into optimal control strategies and their impact on energy production.
Project Principal Investigator
Associate Professor, Civil Engineering Dept., The State University of New York at Stony Brook Co-Director, Atlantic Marine Energy Center, The US Dept. of Energy