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:

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.

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.

Evaluate the economic benefits accrued from adopting the proposed technology in grid integration and production decisions.

Widely disseminate the key outcomes and findings of the project to the broader offshore wind community through technical papers, presentations, and symposia.

Initiate commercialization pathways in collaboration with Rutgers office of innovation ventures.