Project overview:

Survival Modeling for Offshore Wind Prognostics

Awardee:

Tagup Inc.

Start Date:

Q1, 2021

Technical Challenge Area:

O&M and Safety

Completion Date:

Q1, 2023

Synopsis:

As offshore wind capacity increases in New York State and the US more generally, this project will enable the rapid deployment of the technology across the emerging domestic install base: increasing turbine availability, reducing levelized cost of energy (LCOE), displacing carbon emissions, and improving the overall business case for offshore wind.

Target Outcomes:

Using advanced machine learning methods developed by our team and at Massachusetts Institute of Technology, Tagup Inc. shall work with an industry partner to train, validate, and deploy survival models on two operational offshore wind farms.

The models will quantify probability of failure, remaining useful life (RUL), and prescribe optimal maintenance and inspection actions.

The project team will report on environmental, and economic benefits and implementation scenarios associated with the project results.