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Nuclear Criticality Safety
NCSD provides communication among nuclear criticality safety professionals through the development of standards, the evolution of training methods and materials, the presentation of technical data and procedures, and the creation of specialty publications. In these ways, the division furthers the exchange of technical information on nuclear criticality safety with the ultimate goal of promoting the safe handling of fissionable materials outside reactors.
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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.
Shih-Jen Wang, Chun-Sheng Chien, Shih-Hsiin Chang, Suh-Chyn Jeng
Nuclear Technology | Volume 106 | Number 3 | June 1994 | Pages 397-406
Technical Paper | Reactor Control | doi.org/10.13182/NT94-A34969
Articles are hosted by Taylor and Francis Online.
Based on the boiling water reactor plant analyzer of Brookhaven National Laboratory and the Chinshan plant analyzer of Taiwan Power Company, the Kuosheng plant analyzer was developed for the Kuosheng nuclear power station. This work verifies the feedwater system models with a downcomer level setpoint change transient. A transient induced by a step change in the downcomer level setpoint is simulated with the Kuosheng plant analyzer and is compared with test data. Discrepancies are found in the response of the feedwater system. Mathematical models of the feedwater system are revised, and the associated key parameters are identified from plant data with the simplex search method. After revision, the predicted results show good agreement with the test data.
