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Division Spotlight
Robotics & Remote Systems
The Mission of the Robotics and Remote Systems Division is to promote the development and application of immersive simulation, robotics, and remote systems for hazardous environments for the purpose of reducing hazardous exposure to individuals, reducing environmental hazards and reducing the cost of performing work.
Meeting Spotlight
2025 ANS Annual Conference
June 15–18, 2025
Chicago, IL|Chicago Marriott Downtown
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The Standards Committee is responsible for the development and maintenance of voluntary consensus standards that address the design, analysis, and operation of components, systems, and facilities related to the application of nuclear science and technology. Find out What’s New, check out the Standards Store, or Get Involved today!
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Smarter waste strategies: Helping deliver on the promise of advanced nuclear
At COP28, held in Dubai in 2023, a clear consensus emerged: Nuclear energy must be a cornerstone of the global clean energy transition. With electricity demand projected to soar as we decarbonize not just power but also industry, transport, and heat, the case for new nuclear is compelling. More than 20 countries committed to tripling global nuclear capacity by 2050. In the United States alone, the Department of Energy forecasts that the country’s current nuclear capacity could more than triple, adding 200 GW of new nuclear to the existing 95 GW by mid-century.
Hyun Chul Lee, Hyung Jin Shim, Chang Hyo Kim
Nuclear Technology | Volume 135 | Number 1 | July 2001 | Pages 39-50
Technical Paper | Fuel Cycle and Management | doi.org/10.13182/NT01-A3204
Articles are hosted by Taylor and Francis Online.
An adaptive control scheme of simulated annealing (SA) parameters derived from the polynomial-time cooling schedule is presented in terms of the efficiency enhancement of the SA algorithm. The parallel computing adaptive SA optimization scheme, which incorporates the optimization-layer-by-layer (OLL) neutronics evaluation model is then applied to determining the optimum fuel assembly (FA) loading pattern (LP) in the Korea Nuclear Unit 2 pressurized water reactor (PWR) using seven Pentium personal computers (three 266-MHz Pentium II and four 200-MHz Pentium Pro computers). It is shown that the parallel scheme enhances the efficiency of the SA optimization computation significantly but that it can get trapped in local optimum LPs more frequently than the single-processor SA scheme unless one takes preventive steps. As a way to prevent trapping of the parallel scheme in local optima, using multiple seed LPs is proposed instead of a single LP with which the individual processors start each stage, and how to determine the multiple seed LPs is discussed. Because of the high efficiency of the parallel scheme, the acceptability of a hybrid neutronics evaluation model, which is slower but more accurate than the OLL model, in the parallel optimization calculation is examined from the standpoint of computing time. By demonstrating that the FA LP optimization calculation for the equilibrium cycle core of the KNU-2 PWR can be completed in <1 h on seven Pentiums, we justify the routine utilization of the hybrid model in the parallel SA optimization scheme.
