Project Grant 2526201
- This Project Grant award for $882,522 was provided by the National Science Foundation (CFDA 47.084 - NSF Technology, Innovation, and Partnerships) to Northeastern University from October 1, 2025 to September 30, 2028. The project aims to address persistent workforce challenges in the emerging offshore wind energy sector by developing a multi-phase experiential learning framework. Key components include cohort-based mentoring, cross-sector partnerships, participatory co-designed modules,...
- 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...
- This $199,355 Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) supports research at the University of Massachusetts Boston to address fundamental issues in integrating offshore wind energy and other marine energy systems. The key objectives are to: 1) Rigorously evaluate the impact of wake effects and farm-to-farm interactions on the efficiency of using marine space for power production, 2) Identify areas less suited for offshore wind but...
- This Early-concept Grants for Exploratory Research (EAGER) award from the National Science Foundation's (NSF) Integrative Activities (IA) program, CFDA 47.083, provides $149,980 to the University of Maine System to conduct research on the orbital motion dynamics of offshore wind turbines (OWTs) during the installation phase. The interdisciplinary project team will investigate the unique dynamics of partially installed bottom-fixed OWTs using wave tank experiments and high-fidelity numerical...
- The National Science Foundation (NSF) awarded a $250,000 Project Grant to the University of Massachusetts Lowell (UMass Lowell) to establish a multi-university Industry-University Collaborative Research Center (I-UCRC) for Wind Energy Science, Technology, and Research (WINDSTAR). The objective of this 5-year CFDA 47.041 Engineering program award is to enhance national excellence in wind energy R&D and develop a diverse workforce to support the design, manufacturing, and operation of...
- This $399,968 federal Project Grant awarded by the National Science Foundation (NSF) Engineering program (CFDA 47.041) to The Johns Hopkins University supports a collaborative research effort to develop improved computational and experimental tools for studying the complex fluid dynamic interactions between floating wind turbines, winds, and ocean waves. The key objectives are to: (i) develop enhanced surface flux parameterizations for large eddy simulations of the marine boundary layer, (ii)...
- This Project Grant award from the National Science Foundation (CFDA 47.084 - Technology, Innovation, and Partnerships) in the amount of $246,704 provides funding for a collaborative research project to expand employment opportunities in the advanced manufacturing and construction sectors. The project aims to train participants in state-of-the-art laboratories and provide paid internships with STEM employers, while also offering financial, academic, and career-focused assistance. The goal is to...
- This $364,866 collaborative research project grant, awarded by the National Science Foundation's STEM Education program (CFDA 47.076), aims to develop, deliver, and assess an experiential training program in the rapidly evolving field of marine technology. The project, titled "COLLABORATIVE RESEARCH: BEGINNINGS: ADVANCING MARINE TECHNOLOGY CAREERS THROUGH IMMERSIVE AUTONOMOUS UNDERWATER VEHICLE DEPLOYMENT EXPERIENCES," has two overarching goals: 1) create opportunities for skill...
- This National Science Foundation (NSF) project grant awarded to the Planetary Science Institute will study the global distribution of two key ocean properties related to wind-driven energy - transmissivity (the fraction of wind energy that propagates into the ocean interior) and mixing efficiency (the portion of energy that goes into mixing versus dissipation). The $242,731 award, funded through NSF's Geosciences program (CFDA 47.050), will leverage a high-resolution numerical model to...
- This $289,463 federal Project Grant award from the National Science Foundation's (NSF) Division of Chemical, Bioengineering, Environmental, and Transport Systems (CBET) under the Engineering program (CFDA 47.041) will support collaborative research to investigate wind farm-to-wind farm interactions and develop improved models for wind farm efficiency planning. The research aims to quantify the momentum deficit and recovery in the wake downstream of a wind farm, and how this affects the...
This Project Grant award from the National Science Foundation (CFDA 47.084 - NSF Technology, Innovation, and Partnerships) in the amount of $117,163 will fund a collaborative research project titled "BEGINNINGS: Engaging and Preparing the Offshore Wind Workforce through Hybrid Experiential Learning." The project aims to address persistent workforce challenges in the emerging and safety-critical offshore wind energy sector, including limited early exposure to real-world work environments, costly and risky site access, unclear career pathways, and rapidly evolving digital and automation technologies. To address these challenges, the project will develop a multi-phase offshore wind experiential learning framework led by an interdisciplinary team from Northeastern University, the University of Alabama, and industry, educational, and public sector partners. Key elements include cohort-based mentoring, participatory co-designed modules, micro-credentials tied to industry skills, and shared digital assets to broaden participation and build a prepared, resilient, and technologically agile offshore wind workforce. The resources and training model developed can also be applied to other maritime and emerging technology fields with similar workforce challenges.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $117.2k | 8/26/25 |