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LLNL offers tools to model the economics of inertial fusion power plants
Lawrence Livermore National Laboratory has designed a model to help assess the economic impact of future fusion power plant operations—specifically, the operation of inertial fusion energy (IFE) power plants. Further, it has made its Generalized Economics Model (GEM) for Fusion Technology—an Excel spreadsheet—available for download.
Abdellatif M. Yacout, Kun Mo, Aaron Oaks, Michael Billone, Yinbin Miao, Jeffrey Alicz
Nuclear Technology | Volume 209 | Number 1 | January 2023 | Pages S109-S122
Technical Paper | doi.org/10.1080/00295450.2022.2105779
Articles are hosted by Taylor and Francis Online.
Metallic fuel is proposed for use in various advanced sodium-cooled fast reactor (SFR) designs, including small modular reactors and microreactors. To support advanced SFR research and development, a metallic fuel database has been developed at Argonne National Laboratory. The database was built on extensive metallic fuel data collected during the Integral Fast Reactor Program, mainly from irradiation experiments in the Experimental Breeder Reactor-II (EBR-II). In order to manage the large amount of data and associated documents and to qualify the data, a Quality Assurance Program Plan (QAPP) was established for the legacy metallic fuel data following the American Society of Mechanical Engineers (ASME) Nuclear Quality Assurance (NQA-1) 2008/2009 Addenda Standard. Metallic fuel data qualification is being performed following the QAPP. The plan has been approved by the U.S. Nuclear Regulatory Commission and can be referenced in licensing applications for nuclear power plants. The process for qualifying metallic fuel data is presented. The structure for implementing the QAPP and the qualification methods are introduced. The principle for prioritizing the metallic fuel data for quality assurance is summarized. An overview of the metallic fuel data available and considered for qualification is also provided.