Project overview:
AIRU-WRF: AI-powered Physics-based Tool for OSW Forecasting and Grid Integration
Awardee:
Rutgers University
Start Date:
Q3, 2023
Technical Challenge Area:
Electrical Power Systems
Completion Date:
N/A (Currently Underway)
Synopsis:
The project aims to develop and demonstrate a wind forecasting technology to predict the wind resource and generation at key offshore wind energy areas in the U.S. Mid-Atlantic and Northeastern U.S. using a combination of physics-based modeling and artificial intelligence (AI) capabilities.
Target Outcomes:
1
Develop an AI-powered wind forecasting technology that accurately predicts the wind resource and power output at key offshore wind energy locations in the U.S. Mid Atlantic and Northeastern U.S.
2
Extensively test the developed forecasting technology across various key locations, operational horizons, and time periods, and benchmark its performance against a diverse set of existing tools.
3
Evaluate the economic benefits accrued from adopting the proposed technology in grid integration and production decisions.
4
Widely disseminate the key outcomes and findings of the project to the broader offshore wind community through technical papers, presentations, and symposia.
5
Initiate commercialization pathways in collaboration with Rutgers office of innovation ventures.
Project Principal Investigator
Assistant Professor | Director of the Renewables and Industrial Analytics (RIA) Research Group