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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.
Londrea J. Garrett, Milos Burger, Adam Burak, Xiaodong Sun, Piyush Sabharwall, Igor Jovanovic
Nuclear Technology | Volume 209 | Number 8 | August 2023 | Pages 1189-1196
Research Article | doi.org/10.1080/00295450.2023.2196233
Articles are hosted by Taylor and Francis Online.
It is well established that a rapid increase in the concentration of fission products in the reactor coolant stream can serve as an early indication of fuel failure. We use Monte Carlo simulations to investigate the feasibility of using several gamma detectors as diagnostic equipment to monitor the presence of major fission product isotopes in high-temperature gas-cooled reactor (HTGR) coolant streams for early detection of fuel failure and therefore the prevention of fuel failure conditions. We model the response of high-purity germanium (HPGe), CdZnTe, NaI(Tl), and LaBr3(Ce) detectors of typical commercial sizes to the gamma emissions from nuclides expected to be found within the coolant stream of the Versatile Test Reactor (VTR) under development by the U.S. Department of Energy. The results indicate that for the 233- and 250-keV gamma rays from 133Xe and 135Xe, respectively, the detection criterion is met in under 1 min using a single HPGe detector. Changes in other spectral lines associated with Xe nuclides are detected within 1 h regardless of the choice of detector.