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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.
M. Mazumdar
Nuclear Science and Engineering | Volume 47 | Number 2 | February 1972 | Pages 187-194
Technical Paper | doi.org/10.13182/NSE72-A22395
Articles are hosted by Taylor and Francis Online.
In the thermal hydraulic design of nuclear reactor cores, it is of interest to know the probability for 0, 1, 2, . . . , D hot channels and/or cladding and fuel hot spots [i.e., channels (spots) in the core at which temperature limits are exceeded]. A previous paper considered this problem and provided a technique, referred to as the method of correlated temperatures, for obtaining the distribution of the number of hot channels. This method is partly analytical and partly Monte Carlo. In the present paper a special case, that of zero hot channels, is considered and it is shown that by application of the theory of extremes numerical results can still be obtained without the use of Monte Carlo computations proposed earlier. A hot channel factor analysis is carried out using the proposed method on a simplified hypothetical LMFBR-type core and the results are compared with those obtained (a) from the method of correlated temperatures and (b) Amendola’s method. The method based on extreme value theory compares very favorably with the more general method of correlated temperatures.