Electric grid research - John Smith Jr. working in the Networked Microgrids Lab at GRID-C, September 30, 2024. The electronics pictured up close are in a synchronous machine that emulates the way wind and diesel generators function in the electric grid.

Developing innovative capabilities for electric energy devices and systems

The Electrification and Energy Infrastructures Division targets breakthroughs to improve the reliability, versatility, and efficiencies of energy storage systems, electric grid protections and controls, power electronics, image and signal technologies, and advanced sensors.

EEID utilizes and stewards the Grid Research Innovation and Development Center (GRID-C) at Oak Ridge National Laboratory. The 52,000-square-foot facility is a national showcase for energy systems research and development, enabling breakthroughs to support a resilient, reliable, and secure power grid. The unique, multipurpose research environment at GRID-C is available to industry, academic, and government partners who wish to access its state-of-the-art capabilities and world-class researcher expertise for developing innovative grid technologies.

Ben Dean, Namwon Kim, and Renata Kimpara in GRID-C working at the Controller hardware-in-the-loop lab, where they simulated the use of new software for building energy management with hardware.
Zhijia Du making a pouch cell in the Battery Manufacturing Facility, BMF, at GRID-C.

Similarly, EEID hosts the country’s largest open-access battery manufacturing research and development center. The Battery Manufacturing Facility, co-located with GRID-C, provides scientists and industry with the ability to analyze every aspect of battery production, from raw materials to coin and pouch cell batteries to performance testing.

Technologies developed in EEID also support and protect vital communications and transportation infrastructure, domestic manufacturing, nuclear security, and defense readiness. Researchers develop imaging, sensing, and modeling algorithms and devices, often enhanced by machine learning, to provide real-time awareness for informed decision-making at a utility, in a factory, or in a national security environment.

Ben Dean, Namwon Kim, and Renata Kimpara in GRID-C working at the Controller hardware-in-the-loop lab, where they simulated the use of new software for building energy management with hardware.

Our strength is our people

EEID brings together multidisciplinary expertise in grid systems, energy storage, power electronics, sensing, communications, and advanced modeling to advance energy systems.

Groups

A researcher wearing safety eye goggles works with grid tools  to support technical interface.

Grid-Interactive Controls

Pioneers innovations – including demand response, innovative sensor technologies, advanced modeling techniques, and precise control mechanisms – to fortify security and reliability at the edge of the power grid and as it interfaces with commercial, residential and industrial buildings.

Group leader: Jamie Lian

A researcher in safety googles works hands-on with a hardwire system network.

Grid Systems Architecture

Focuses on overall system architectures for distribution system networks that integrate supporting equipment such as power electronics, while incorporating communication, controls, optimization and algorithms that can be tested in simulation and real-time platforms, including hardware-in-the-loop and full hardware systems.

Group leader: Joao Pereira Pinto

A researcher in safety goggles works with electronic interface for next-generation sources and loads in the electric grid.

Grid Systems Hardware

Designs and develops power electronic solutions for interfacing with the next-generation sources and loads in the electric grid, encompassing converter architectures, controls, magnetics, and test beds.

Group leader: Prasad Kandula

Hills with trees in autumn have electrical lines running throughout.

Grid Transients and Advanced Modeling

Specializes in advanced computational modeling and analytics, electromagnetic transients, and quantum computing technologies to deliver faster, more accessible power-grid analysis.

Group leader: Suman Debnath

Two researchers review data and models for to support electrical grid resilience.

Power Systems Resilience

Leverages expertise in real-time monitoring, data analytics, sensing, advanced relays, adaptive protection systems, and large-scale modeling of energy system interactions and electromagnetic transient faults to support a resilient and secure electric grid.

Group leader: Nils Stenvig

A set of hands in groves manipulates pieces of a battery mechanism.

Emerging and Solid-State Batteries

Conceives, researches and develops disruptive chemistries and materials for high-energy and power-dense solid-state batteries and emerging electrochemical storage systems.

Group leader: Mali Balasubramanian

A set of gloved hands manipulates a liquid in a beaker within a lab setting.

Energy Storage and Conversion Manufacturing

Develops advanced processes, manufacturing schemes and pilot scale devices in energy storage and conversion research, from materials synthesis through characterization, electrode engineering, cell prototyping, and product performance testing.

Group leader: Jaswinder Sharma

A set of hands works with an ORNL Tree Power Analyzer.

Sensors and Electronics

Utilizes expertise in analog and digital electronics, custom integrated circuits, sensing and automation, harsh environment electronics, embedded systems, device and materials printing and mechanical design and fabrication to develop and evaluate electronic devices and systems for energy storage, power grid sensing and analysis, water treatment, fission and fusion energy, and national security applications.

Group leader: Nance Ericson

A researcher utilizes the interface of of a system to enhance systems for cybersecurity.

Grid Communications and Security

Focuses on integrated sensing and communication platforms for energy applications, including the development and testing of multi-parameter sensing systems, advanced signal processing and machine learning algorithms, cybersecurity, and grid communications architecture solutions.

Group leader: Ali Ekti

A researcher in a safety vest and sunglasses manipulates a sensor outdoors.

Multimodal Sensor Analytics

Designs and develops algorithms and systems that fuse computational sensing approaches to images and signals, often incorporating applied artificial intelligence, sensing, signal processing, computer vision, and tomographic reconstruction.

Group leader: Deniz Aykac

A spectrum analyzer displays a reading.

RF & Intelligent Systems

Develops low-power sensing systems, algorithms and modeling approaches – often incorporating AI – for understanding and monitoring the security and health of critical infrastructure, with expertise to tackle challenges in complex wireless communications environments and emerging signal processing problems.

Group leader: Corey Cooke

Philip Bingham

Contact

Philip Bingham

Division Director

Electrification and Energy Infrastructures Division