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Organized to promote the advancement of knowledge in the use of nuclear science and technologies in the aerospace application. Specialized nuclear-based technologies and applications are needed to advance the state-of-the-art in aerospace design, engineering and operations to explore planetary bodies in our solar system and beyond, plus enhance the safety of air travel, especially high speed air travel. Areas of interest will include but are not limited to the creation of nuclear-based power and propulsion systems, multifunctional materials to protect humans and electronic components from atmospheric, space, and nuclear power system radiation, human factor strategies for the safety and reliable operation of nuclear power and propulsion plants by non-specialized personnel and more.
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Oklo signs MOU to partner with Korea Hydro & Nuclear Power
Oklo cofounder and CEO Jacob DeWitte and KHNP CEO Joo-ho Whang following the virtual signing of an MOU. (Source: Oklo)
Oklo announced last week that it hopes to expand development and global deployment of its advanced nuclear technology through a new partnership with Korea Hydro & Nuclear Power.
The memorandum of understanding includes plans for the companies to advance standard design development and global deployment of Oklo’s planned Aurora Powerhouse, a microreactor that would generate 15 MW and be scalable to 50 MWe. Oklo said each unit can operate for 10 years or longer before refueling.
Oklo and KHNP plan to cooperate on early-stage project development, including manufacturability assessments and planning of major equipment, supply chain development for balance-of-plant systems, and constructability assessments and planning.
Anthony M. Scopatz, Erich A. Schneider, Jun Li, Man-Sung Yim
Nuclear Technology | Volume 183 | Number 1 | July 2013 | Pages 45-61
Technical Paper | Fuel Cycle and Management | doi.org/10.13182/NT13-A16991
Articles are hosted by Taylor and Francis Online.
Technology development and deployment decisions are justified by weighing their costs against the expected benefits. Multiple nuclear fuel cycle (NFC) simulation models have been devised, some with the aim of quantifying cyclewide sensitivities to variations from base-case scenarios. Base-case sensitivity studies often perturb only one parameter at a time and only in the region around the initial value. This paper details a sensitivity study methodology that applies entropy-based statistical methods of information theory to describe outcomes produced by an NFC model. This supersedes past efforts at sensitivity and uncertainty analysis by allowing a much larger space to be explored. Here, 30 independent fuel cycle parameters for a fast reactor-light water reactor hybrid scenario are varied simultaneously and stochastically. This fuel cycle schema was chosen as a well-known, sufficiently complex model; the underlying statistical methods could be applied to any cycle. This study uses the uncertainty coefficient computed from contingency tables (CTs) to represent the sensitivity of a technology-defining input to the response. The response of interest here was taken to be the deep geologic repository capacity for a given realization of fuel cycle inputs. After computing the uncertainty coefficients, the inputs themselves are sorted based on decreasing sensitivities. Fast reactor used fuel plutonium separations were found to be most important to the cycle. Furthermore, to represent input covariances (the effect of one input on the sensitivity of a second input to the response), a new measure is defined on three-dimensional CTs. This metric is the coefficient of the variation of uncertainty coefficient of two-dimensional slices of the original table. Sorting by this sensitivity of sensitivity metric, the input pair of fast reactor americium separations together with high-level-waste storage time was found to have the largest joint effect on the repository capacity.