Green Electricity Network Integration

ARPA-E GENI Program Graphic


Status:
Alumni
Release Date:
Project Count:
15

Program Description:

The projects in ARPA-E's GENI program, short for "Green Electricity Network Integration," aim to modernize the way electricity is transmitted in the U.S. through advances in hardware and software for the electric grid. These advances will improve the efficiency and reliability of electricity transmission, increase the amount of renewable energy the grid can utilize, and provide energy suppliers and consumers with greater control over their power flows in order to better manage peak power demand and cost.

Innovation Need:

The aging U.S. electric grid is comprised of over 300,000 miles of electric transmission lines that take electricity from power plants to transformers and finally, into homes and businesses. Over 30% of the grid's transmission lines, transformers, and other hardware are approaching or past the end of their life cycle. Around 10% of the electricity produced in U.S. power plants never reaches potential users because it's lost during transmission, and power outages and blackouts throughout the grid cost businesses and consumers almost $80 billion dollars a year. Historically, the electric grid was designed to deliver power one-directionally from large generation facilities to consumers. To improve the grid's reliability and turn variable and uncertain power sources like solar and wind generation into major contributors to the U.S. energy mix, we have to think about the grid differently and design it to be smarter and more flexible. GENI projects are focused on advances in both grid hardware and software that will help modernize the existing grid—making it smarter, more secure, and more reliable. GENI hardware advancements, such as power flow controllers made of advanced materials, would more efficiently direct the flow of power on the grid, help stem energy losses, and enable the grid to be more responsive and resilient. GENI software technologies would leverage advancements in computing and data communications to optimize grid operations, match power delivery to real-time demand, and find effective ways to manage sporadically available renewable power sources and grid-level power storage.

Potential Impact:

If successful, GENI projects would significantly improve the efficiency, security, and reliability of the U.S. electric grid.

Security:

A more efficient and reliable grid would be more resilient to potential disruptions from failure or attack.

Environment:

A smarter grid could enable the integration of 10x more wind and solar power—substantially reducing carbon dioxide emissions in the U.S., 40% of which are produced by electricity generation.

Economy:

A more efficient and reliable grid would help protect U.S. businesses from costly power outages and brownouts that stop automated equipment, bring down servers, and crash computers.

Contact

Program Director:
Dr. Timothy Heidel;Dr. Isik Kizilyalli
Press and General Inquiries Email:
ARPA-E-Comms@hq.doe.gov

Project Listing

• AutoGrid - Integration of Renewables via Demand Management
• Boston University (BU) - Decision-Support Software for Grid Operators
• California Institute of Technology (Caltech) - Scalable Distributed Automation System
• Cornell University - Cloud Computing for the Grid
• General Atomics - Low-Insertion HVDC Circuit Breaker
• General Electric (GE) Global Research - Connecting Renewables Directly to the Grid
• General Electric (GE) Global Research - Cost-Effective Cable Insulation
• Georgia Tech Research Corporation - Autonomous, Decentralized Grid Architecture
• Michigan State University (MSU) - Power Flow Controller for Renewables
• Oak Ridge National Laboratory (ORNL) - Magnetic Amplifier for Power Flow Control
• Sandia National Laboratories - Probability-Based Software for Grid Optimization
• Smart Wire Grid - Distributed Power Flow Control
• Texas Engineering Experiment Station (TEES) - Automated Grid Disruption Response System
• University of Washington (UW) - Renewable Energy Positioning System
• Varentec - Dynamic Power Flow Controller