The following is a press release from the Idaho National Laboratory.

ARCO – It’s been another winning year as three technologies from the Idaho National Laboratory have received the 2022 R&D 100 awards.

The competition, now in its 60th year, celebrates research and development technologies from the public and private sectors. Winning an award is a prestigious honor for inventors.

Labs and companies from 12 countries submitted entries in 2022, and a panel of more than 50 leading experts ranked the entries based on their technical significance, uniqueness, and applicability in industry, government and academia. Typically, the US Department of Energy’s National Laboratories have dozens of finalists each year.

Including this year’s winners, INL has won more than 30 R&D 100 awards since 2005. Five INL technologies were also named R&D 100 finalists.

INL-LEAD WINNING TECHNOLOGIES:

Electrochemical leaching (EC-Leach)

Description: EC-Leach provides a cost-effective, highly efficient, safe, carbon-free and remarkably simple process for solving one of the world’s biggest clean energy challenges: recycling lithium-ion batteries. This technology releases the green energy potential of these end-of-life batteries by allowing the extraction and recovery of critical materials. Although EC-Leach provides an answer to many complex challenges, it stands out for its technological simplicity. It requires no expensive or hazardous materials, has a low running cost, and is compatible with any lithium-ion battery chemistry. By facilitating closed-loop battery recycling, EC-Leach enables a carbon-free transportation and manufacturing sector.

Researchers: Tedd Lister (Co-Principal Investigator), Luis Diaz Aldana (Co-Principal Investigator), John Klaehn, Joshua McNally, Meng Shi, and Daniel Molina Montes de Oca.

Machine Intelligence for reviewing and analyzing condition logs and entries (MIRACLE)

Description: In the nuclear power industry, every problem, no matter how small, is documented in a status report. In each factory, hundreds of them are reviewed and characterized every week by dozens of people. MIRACLE uses machine learning and natural language processing to automate this process, saving millions while improving security. On a larger scene, although MIRACLE is intended for use in nuclear power plants, the methods developed when it was created should be useful in any industry that requires massive volumes of literature reviews. MIRACLE offers savings and efficiencies.

Researchers: Ahmad Al Rashdan (principal investigator), Brian Wilcken, Cameron Krome and Kellen Giraud.

MOSAICS

Description: MOSAICS is a technology launched by the Department of Defense to provide the first-ever complete, integrated and automated solution to detect and prevent cyber attacks on industrial control systems. INL has focused its efforts on providing a scalable evaluation of off-the-shelf commercial security solutions and a test harness for initialization, launch and collection of cyber resilience test results in virtual environments. INL is a MOSAICS technology partner with Johns Hopkins University Applied Physics Laboratory, as well as Sandia National Laboratories and Pacific Northwest National Laboratory.

Researchers: Craig G. Rieger (principal investigator), Michael McCarty, Bev Novak and Roya Gordon (former INL researcher).

INL-LED FINALIST TECHNOLOGIES:

Caldera

Description: Ownership of electric vehicles is growing rapidly as the technology becomes more available and affordable. While the increase will reduce carbon emissions and climate change impacts, these vehicles and their associated charging infrastructure will have a huge impact on power grids around the world. Caldera provides two essential services for the future of electric vehicle charging: 1) modeling large-scale electric vehicle charging for a variety of locations and conditions, and 2) modeling charging management strategies to reduce the grid impacts of large-scale electric vehicle charging. Caldera is the missing link between transport models, network models and detailed pricing data.

Researchers: Don Scoffield (Co-Principal Investigator), Timothy Pennington (Co-Principal Investigator), John Smart, Zonggen Yi, Manoj Kumar Cebol Sundarrajan, and Paden Rumsey.

Constrained Communication Cyber ​​Device (C3D)

Description: Cybercriminals and nations hostile to US interests have developed increasingly sophisticated means to attack electrical distribution infrastructure. The patent-pending Constrained Communication Cyber ​​Device (C3D) technology is an added depth of defense against cyber threats targeting essential power grid hardware called protection relays. C3D sits deep within a utility’s network, monitoring and blocking cyberattacks before they affect relay operations. C3D technology was licensed to Sierra Nevada Corporation in March 2022.

Researchers: Jake Gentle (Co-Principal Investigator) and Steve Bukowski (Co-Principal Investigator).

Modeling and Simulation for Improving Target Electrical Resilience and Reliability (MASTERRI)

Description: MASTERRI enables utility managers to identify and prioritize electrical system repairs and upgrades to avoid cascading failures. The scanning process identifies critical vulnerabilities and the overall potential for system failure. MASTERRI provides the most accurate information available for power industry decision support and is instrumental in preventing outages and building resilience.

Researchers: Bjorn Vaagensmith (principal investigator), Kurt Vedros, Tim McJunkin, Liam Boire, Jesse Reeves, James Case, Jason Wayment, Craig Rieger, Shawn West, Courtney Otani, Pierce Russell and Carol Reid.

RAVEN – Computing platform performing stochastic analyzes

Description: RAVEN offers a fully integrated working environment, providing everything engineers and scientists need to solve complex problems in an efficient and user-friendly way. RAVEN is a flexible and versatile statistical analysis framework that allows users to easily perform a variety of analysis, data mining, and model optimization tasks. These operations are performed based on the response of complex physical models through advanced statistical sampling generation to achieve a high degree of realism and accuracy previously unattainable. RAVEN is a unique and powerful tool for risk analysis, offering features not currently available in other software.

Researchers: Diego Mandelli (co-principal investigator) and Congjian Wang (co-principal investigator).

Robust anode for electrochemistry in extreme environments (robust monolithic anode)

Description: In a world increasingly dependent on technologies with metal-based components, sustainable methods of recycling metals are more essential than ever. Recycling these metals offers the dual benefits of reducing waste in landfills and minimizing the need for additional mining. Although electrochemical treatment is not a new technique, today’s most widely used graphite and platinum based anodes lack long-term durability under the extremely hot, corrosive and oxidative conditions that prevail in the recycle tank. requiring frequent (and costly) replacement. The iridium anode of this technology has demonstrated long-lasting and highly efficient performance in supporting consumer product recycling as well as the reprocessing of spent nuclear fuel.

Researchers: Prabhat Tripathy (Co-Principal Investigator), Steven Herrmann (Co-Principal Investigator), Dale Wahlquist, Steven Frank, James King and Ken Marsden.