This $1.5 million project grant from the National Science Foundation Office of International Science and Engineering will fund the development of a multi-domain, multi-scale, policy-aware digital twin modeling framework for offshore wind energy infrastructure from 2023 to 2025. The primary products will be an extensible and customizable joint modeling framework to enable short, medium, and long-term modeling, learning, and assessment of offshore wind farms through the integration of measured data with policy, labor, and safety aspects. The awardee, Tufts University, will collaborate with sub-awardees Oregon State University and the University of Nevada, Reno on research components.
The grant aims to support the United States' goals of installing approximately 2,000 new offshore wind turbines by 2030 to meet clean energy targets. By improving understanding of offshore wind turbine lifespan and resilience, the project intends to facilitate efficient development of domestic clean energy infrastructure through co-produced knowledge with international and domestic stakeholders. Relevant contextual details include alignment with the National Science Foundation's mission to promote scientific strength and welfare through international partnerships for discovery.