This National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) Project Grant award to Aikido Technologies Inc. for $275,000 supports the detailed engineering of a 100kW self-upending floating wind platform. The broader impact of this SBIR Phase I project is the development of a next-generation floating wind platform that could dramatically reduce the time, cost, and equipment/vessel requirements of installing commercial-scale floating wind farms. The key...
This $999,978 federal Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) to Lehigh University will advance the development and demonstration of efficient, resilient, and cost-effective floating offshore wind turbine systems. The key activities include: Creating new concepts for reducing floating offshore wind turbine platform motions using innovations like tuned-mass dampers and bio-inspired oscillating hydrofoil hydrokinetic turbines that can...
The National Science Foundation awarded a $255,052 Project Grant to Neptunya Ocean Power LLC through the NSF Technology, Innovation, and Partnerships program (CFDA 47.084) to develop a novel mixed-mode ocean energy converter. The award will support research and prototype construction from January 2023 through December 2023 to design an offshore renewable energy device that reduces costs through lower weight, simplified assembly and installation, and improved storm resistance compared to...
This National Science Foundation Technology, Innovation, and Partnerships program Project Grant of $250,000 supports the development of an efficient anchor system for floating offshore wind turbines. The awardee, Texas A&M Engineering Experiment Station doing business as Tees, will focus on commercializing a new anchor design capable of resisting loads from 15 megawatt or larger wind turbines. Key activities include reduced scale model tests to evaluate anchor insertion and pullout, refining...
This $265,971 federal Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports research to advance the fundamental understanding of floating offshore wind (FOW) turbine and farm performance under operational and extreme conditions, as well as their comprehensive environmental impacts. The key objectives are to: 1) develop novel computational models to simulate the complex dynamics of FOW turbines; 2) analyze the performance of individual and...
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 $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 National Science Foundation (NSF) Engineering (CFDA 47.041) Project Grant award to Portland State University (PSU) totaling $330,669 will develop and apply novel computational and experimental tools to study complex fluid dynamics interactions between floating wind turbine wakes, prevailing winds, and ocean waves. Key goals include: (i) Developing improved surface flux parameterizations for large eddy simulations (LES) of the marine boundary layer above ocean waves, using a...
The National Science Foundation awarded a $255,558 Project Grant to Ocean Motion Technologies Inc. under the NSF Technology, Innovation, and Partnerships program (CFDA 47.084). The grant supports the company's efforts to leverage machine learning techniques to optimize the efficiency and energy capture of ocean-based renewable power generation. Specifically, the company will utilize reinforcement learning to develop an advanced control model that adjusts wave energy capture device hardware based...
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...