Skip Navigation LinksFY_19_NEET_Awards

​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​FY 2019 Nuclear Energy Enabling Technologies Awards

Five research and development projects led by DOE national laboratories and U.S. universities will receive $4.5 million in funding. Together, they will conduct research to address crosscutting nuclear energy challenges that will help to develop advanced sensors and instrumentation, advanced manufacturing methods, and materials for multiple nuclear reactor plant and fuel applications.

A complete list of NEET projects with their associated abstracts is listed below.​​

2019 NEET Award Abstracts
  
  
  
  
  
  
  
Description
  
  
https://neup.inl.gov/FY%202019%20Abstracts1/CFA-19-17206_TechnicalAbstract_2019CFATechnicalAbstract-RPA-19-17206.pdf
19
Los Alamos National LaboratoryNuclear Energy Enabling Technologies (NEET)Nuclear Energy Enabling Technologies (NEET)$1,000,000.00
The primary goal of this project is to determine the feasibility of laser additive manufacturing for producing reactor components of a ferritic/martensitic steel (Grade 91) with an engineered microstructure.
  
https://neup.inl.gov/FY%202019%20Abstracts1/CFA-19-17435_TechnicalAbstract-2019CFATechnicalAbstract19-17435.pdf
19
Massachusetts Institute of TechnologyNuclear Energy Enabling Technologies (NEET)Nuclear Energy Enabling Technologies (NEET)$1,000,000.00
The proposed research will deliver the foundation of integrated instrumentation and controls platform for advanced reactors and demonstrate the capability for autonomous operation.
  
https://neup.inl.gov/FY%202019%20Abstracts1/CFA-19-17045_TechnicalAbstract_2019CFATechnicalAbstractRPA-19-17045.pdf
19
Argonne National LaboratoryNuclear Energy Enabling Technologies (NEET)Nuclear Energy Enabling Technologies (NEET)$1,000,000.00

The objective of the project is to improve the economic competitiveness of advanced reactors through the optimization of cost and plant performance, which can be achieved by coupling intelligent online monitoring with asset management decision-making. This includes designing a sensor network that is optimized for both cost and diagnostic capabilities then utilizing the sensor network and the plant's risk profile during operation to perform supply chain and asset management planning.


  
https://neup.inl.gov/FY%202019%20Abstracts1/CFA-19-17070_TechnicalAbstract_2019CFATechnicalAbstract19-17070.pdf
19
Pacific Northwest National LaboratoryNuclear Energy Enabling Technologies (NEET)Nuclear Energy Enabling Technologies (NEET)$1,000,000.00

This project will design and develop a multimodal sensor for measurements of critical process parameters in advanced non-light water-cooled nuclear power plants for the early detection and characterization of deviations from nominal operating condition. The focus will be to develop an integrated sensor concept that enables simultaneous measurements of temperature, pressure, and gas composition using a single sensor, thereby limiting the number of penetrations in the reactor vessel that would be needed.

  
https://neup.inl.gov/FY%202019%20Abstracts1/CFA-19-16790_TechnicalAbstract_2019CFATechnicalAbstract19-16790.pdf
19
Arizona State UniversityNuclear Energy Enabling Technologies (NEET)Nuclear Energy Enabling Technologies (NEET)$500,000.00

The overall goal of this project is to test the hypothesis that introducing solutions on Augmented Reality glasses that adopting advanced object recognition algorithms and safety compliance checking methods based on digital models of nuclear facilities will enable real-time safety engineering information display for nuclear field workers. The proposed project will integrate multiple scientists’ expertise in computer vision, safety engineering, and human factors to achieve this goal.


  
https://neup.inl.gov/FY%202019%20Abstracts1/2019%20CFA%20Technical%20Abstract%2017478.pdf
19
University of PittsburghNuclear Energy Enabling Technologies (NEET)Nuclear Energy Enabling Technologies (NEET)$1,000,000

Researchers
will develop and demonstrate advanced online monitoring to better manage
nuclear plant assets, operation, and maintenance. They will develop a tool that
will use condition monitoring and advanced analytics to manage assets and
operations and management costs. This tool will integrate the following: big
data analytics, condition monitoring, and models of the supply chain and
business process applications.