Stony Brook University

09/03/2026 | Press release | Distributed by Public on 09/03/2026 14:43

Stony Brook University Building Digital Twin Studio to Advance Grid Research and Resilience

AI rendering of the planned Digital Twin Studio: images courtesy of the Center of Excellence in Wireless and Information Technology at Stony Brook University

STONY BROOK, NY- September 3, 2026 -The State University of New York at Stony Brook (Stony Brook University) is developing a new Digital Twin Studio that will advance power grid research and resilience. As electric vehicles, renewable energy systems and connected technologies place new demands on the grid, utilities will need better ways to anticipate problems before they affect homes, businesses and critical infrastructure. Researchers also need safe environments to test new technologies and resilience strategies.

The Digital Twin Studio looks to provide this testing ground and will allow researchers, students, utilities and public agencies to model electrical distribution systems and examine how the grid may respond to outages, extreme weather, cyberattacks, equipment failures and changing energy demands.

Led by the Center for Grid Innovation Development and Deployment (GrIDD) at the Advanced Energy Research and Technology Center (AERTC), the initiative is moving into implementation. Approximately $550,000 has been secured for the current buildout, with another $300,000 anticipated for the next stage.

The team is targeting December 2026 for the studio's initial minimum viable platform, the first operational milestone for a system that will continue expanding as new equipment, datasets, applications and partnerships are added.

"What excites me most about the Digital Twin Studio is that it will bring research, workforce development, and industry engagement together in one place," said Abdelrahim Brown of AERTC and GrIDD. "We are building something that students can learn from, researchers can use, and partners can help shape as the platform grows."

The studio will create high-fidelity virtual representations of power distribution networks at the neighborhood scale. By incorporating operational, environmental and equipment data, the models will allow users to test how systems might perform before making changes to physical infrastructure.

The platform will combine physics-based simulation, artificial intelligence and data from sources such as geographic information systems, weather systems, advanced meters and distributed energy resources. Near-real-time modeling and hardware-in-the-loop capabilities will allow researchers to connect physical equipment and control systems to the virtual environment and evaluate their performance under realistic grid conditions.

Building a More Resilient Grid

The first phase will focus on vegetation risk analytics, outage and contingency forecasting, and asset-health monitoring.

The vegetation-management component will combine camera imagery, multispectral data, LiDAR, weather information and artificial intelligence to identify vegetation near electrical infrastructure and assess encroachment risks. The team is developing tools to classify vegetation and power lines, generate three-dimensional point clouds, identify tree species and map areas of greatest risk. These capabilities could help utilities prioritize maintenance and prepare for storms, wildfires and other hazards.

For outage and contingency forecasting, the studio will provide a controlled environment for testing power-flow scenarios, restoration strategies, distributed energy integration and changes in demand. Users could study equipment failures, electrification-driven load growth and the effects of extreme weather or cyber-physical threats.

Asset-health monitoring will extend the digital twin to individual devices. Sensors and connected equipment could provide information about building systems, energy use, air quality and equipment performance. Artificial intelligence could then help identify abnormal behavior, predict maintenance needs or determine more efficient operating schedules.

From Drone Imagery to High-Performance Computing

Major purchases include high-performance computing equipment, laboratory computers, networking infrastructure, sensors, data-acquisition equipment and backup power systems. The project has also acquired a drone equipped for LiDAR, thermal imaging and visual imaging. Its data could support vegetation-risk analysis, infrastructure monitoring and three-dimensional modeling.

Additional investments include software, cloud services, platform development and a student training laboratory in the Center of Excellence in Wireless and Information Technology (CEWIT), which remains under construction.

Funding has come from university innovation funding and external project support, including support connected to Sunrise Wind and Ørsted.

Supporting Students, Research and Industry

For Stony Brook faculty and students, the studio will provide shared infrastructure for research spanning electrical engineering, computer science, data analytics and cybersecurity. Researchers will be able to develop and validate algorithms for load forecasting, distributed energy coordination, voltage optimization and network reconfiguration. They will also be able to simulate cyber intrusions and control-system vulnerabilities without placing operational infrastructure at risk.

The project team is developing a digital twin learning module for the CyberLearn workforce-development program, expected to reach its first group of Stony Brook students in spring 2027. The studio could also support sponsored research and collaborations with utilities, public agencies, industry partners and other universities.

IotaComm, a technology company already collaborating with CEWIT on smart-building and sensing technologies, is beginning a related project with AERTC that will contribute data and capabilities to the studio. Its technologies are expected to support asset-health monitoring and device-level modeling by connecting data from physical environments with the platform's simulation and analytics tools.

"IotaComm is proud to support Stony Brook University's Digital Twin Studio by helping connect real-world sensing data, IotaWAVE-enabled infrastructure, and operational intelligence with advanced simulation, analytics, and research capabilities," said Terrence DeFranco, Chairman and CEO, IotaComm, Inc. "Building on our work with a LoRaWAN® testbed at CEWIT and our related project with AERTC, this collaboration helps create a living-lab environment where smart building systems, energy research, environmental sensing, asset-health monitoring, and device-level modeling can come together. For IotaComm, this initiative reflects the broader value of making physical environments more connected, measurable, adaptive, and actionable through our Delphi360 platform while supporting research, workforce development, and industry collaboration." The team is also exploring opportunities to incorporate data from Stony Brook's utility infrastructure and deploy sensing devices on campus.

By bringing simulation, physical equipment, operational data and interdisciplinary expertise into one environment, the Digital Twin Studio is intended to move promising grid technologies toward implementation while preparing students to contribute to the future of the energy industry.

AI rendering of the planned Digital Twin Studio: images courtesy of the Center of Excellence in Wireless and Information Technology at Stony Brook University

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About the State University of New York at Stony Brook (Stony Brook University)

The State University of New York at Stony Brook is New York's flagship university and No. 1 public university. It is part of the State University of New York (SUNY) system. With more than 27,000 students, more than 3,000 faculty members, more than 237,000 alumni, a premier academic healthcare system and 18 NCAA Division I athletic programs, Stony Brook is a research-intensive distinguished center of innovation dedicated to addressing the world's biggest challenges. The university embraces its mission to provide comprehensive undergraduate, graduate and professional education of the highest quality, and is ranked as the #59 overall university and #26 among public universities in the nation by U.S. News & World Report's Best Colleges listing. Fostering a commitment to academic research and intellectual endeavors, Stony Brook's membership in the Association of American Universities (AAU) places it among the top 71 research institutions in North America. The university's distinguished faculty have earned esteemed awards such as the Nobel Prize, Pulitzer Prize, Indianapolis Prize for animal conservation, Abel Prize, Fields Medal, Breakthrough prizes in mathematics and physics, and MacArthur Fellows Genius Grants. Stony Brook has the responsibility of co-managing Brookhaven National Laboratory for the U.S. Department of Energy - one of only eight universities with a role in running a national laboratory. In 2023, Stony Brook was named the anchor institution for the New York Climate Exchange on Governors Island in New York City. Providing economic growth for neighboring communities and the wider geographic region, the university totals an impressive $8.93 billion in increased economic output on Long Island. Follow us on Facebook https://www.facebook.com/stonybrooku/ and X @stonybrooku.

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