Cooperative Agreement DEEE0004420

This $1,300,000 Cooperative Agreement award from the Department of Energy's Office of Electricity Delivery and Energy Reliability under the Electricity Research, Development and Analysis (CFDA 81.122) program will address the need to improve grid reliability and resilience in the face of increased severe weather risks and integration of offshore wind. The project will leverage novel observations from the WFIP-3 project in the region to develop atmospheric and grid integration tools for...

This Cooperative Agreement award, issued by the U.S. Department of Energy's Office of Energy Efficiency and Renewable Energy (EERE) under the Renewable Energy Research and Development program (CFDA 81.087), provides $2,994,068 to Washington State University to develop new open-source planning tools for managing uncertainties posed by inverter-based resources and extreme weather events in future power grids. The project will address three key subtasks: 1) uncertainty management in planning...

This three-year, $290,000 National Science Foundation project grant supports research at The Pennsylvania State University to develop new mathematical methods, computer models, and algorithms for electric grid operational planning under non-Gaussian uncertainties in renewable energy forecasts. Funded through NSF's Mathematical and Physical Sciences program (CFDA 47.049), the research directly addresses challenges in integrating intermittent renewable resources like wind and solar power into...

The Department of Energy's Advanced Research Projects Agency - Energy (CFDA 81.135) has awarded a $550,000 Cooperative Agreement to the University of Illinois Urbana-Champaign (UIUC) to expand the Wind Energy with Integrated Servo-Control (WEIS) toolset. The WEIS model, developed under a previous phase, is a revolutionary open-source tool that enables controls co-design optimization of conventional and innovative, cost-effective floating offshore wind turbines. The purpose of this award is to...

This Cooperative Agreement award from the Department of Energy's Office of Electricity Delivery and Energy Reliability (CFDA 81.122 - Electricity Research, Development and Analysis) provides $3,245,061 to Georgia Tech Research Corp to develop and field demonstrate the benefits and usage of dynamic line rating and advanced power flow control technologies in New England. The project aims to address changing weather conditions and the integration of offshore wind power. Key activities include...

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...

This three-year, $283,995 Project Grant from the National Science Foundation's Division of Mathematical Sciences will support the development of robust methods for grid operational planning that account for non-Gaussian uncertainties in renewable energy forecasts. Funded under the Mathematical and Physical Sciences program (CFDA 47.049), the grantee—Northwestern University—will work with its sub-awardee to create new mathematical models, theory, algorithms, and computer implementations to...

This $395,226 federal Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) supports research by the Texas A&M Engineering Experiment Station (Tees) to address computational and modeling challenges in the design of large-scale electric transmission networks with high penetration of renewable energy resources like wind, solar, and batteries. The project aims to develop an innovative methodology leveraging spatial complex network analysis to enable more...

This Project Grant award from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) provides $275,000 to Sunairio Inc. to develop a high-fidelity climate simulation engine powered by generative adversarial networks. The goal is to create a broad (1,000 outcomes), hyperlocal (less than 3 km) climate simulation archive that can be used by power grid planners and energy investors to better understand forward-looking risks to grid...

This $260,000 National Science Foundation project grant will fund the development of data-enabled modeling, monitoring, and optimization algorithms targeting power system dynamics from 2022-2025. The University of Texas at Austin, through its parent organization the University of Texas System, will receive funding under the NSF Engineering program (CFDA 47.041) to correlate synchrophasor data and develop Gaussian process and stability-aware optimal power flow tools. Key outcomes will include...