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Second round of Launch Pad selections includes eight newcomers
The National Reactor Innovation Center at Idaho National Laboratory has announced 13 project selections across 12 companies for the Nuclear Energy Launch Pad, a Department of Energy–led program that integrates reactor and fuel facility authorization, testing, and deployment support for private nuclear developers.
The Launch Pad emerged from the Reactor Pilot Program and Fuel Line Pilot Program.
According to INL, projects selected include reactor development and nuclear fuel cycle advancements, including fabrication, enrichment, and conversion technologies.
Yu. E. Titarenko, K. V. Pavlov, A. Yu. Titarenko, V. O. Legostaev, M. A. Zhigulina, R. S. Khalikov, V. M. Zhivun, T. V. Kulevoy, A. A. Kovalishin, A. A. Dudnikov, V. Yu. Blandinskiy, V. D. Davidenko, M. V. Ioannisian, V. I. Belousov, I. I. Dyachkov, K. G. Chernov, M. R. Malkov, B. V. Kuteev, Yu. A. Kashchuk, S. A. Meshchaninov, S. Yu. Obudovsky, A. Yu. Stankovskiy, A. Yu. Konobeyev
Fusion Science and Technology | Volume 78 | Number 7 | October 2022 | Pages 549-572
Technical Paper | doi.org/10.1080/15361055.2022.2076999
Articles are hosted by Taylor and Francis Online.
This paper presents the results of an experiment determining (n,2n), (n,p), (n,pn), (n,α), (n,n’γ), and (n,γ) reaction rates in 15 test samples of both natural and high-enriched composition: natMg, 27Al, natTi, natFe, 59Co, natNi, 63Сu (99.5%), 65Cu (99.7%), 64Zn (99.4%), natZr, 93Nb, natCd, natIn, 169Tm, and 197Au. Computer simulations in the NG-24M neutron generator spectrum were carried out using the MCNP5 and KIR2 radiation transport codes with different nuclear data libraries (JEFF-3.2, JEFF-3.3, JENDL-4.0, ENDF/B-VII.0, ENDF/B-VII.1, ENDF/B-VIII.0, ROSFOND-2010, FENDL-3.0, TENDL-2019, and IRDFF-II). The elaborated full-scale model for neutron transport analysis included the geometry and composition of the neutron generator, experimental samples, and laboratory room. The mean square deviation factor was used to compare the experimental and the simulated results. The best predictive results for both the MCNP5 code and the KIR2 code were obtained with the FENDL-3.0 and ENDF/B-VIII.0 libraries.