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Division Spotlight
Decommissioning & Environmental Sciences
The mission of the Decommissioning and Environmental Sciences (DES) Division is to promote the development and use of those skills and technologies associated with the use of nuclear energy and the optimal management and stewardship of the environment, sustainable development, decommissioning, remediation, reutilization, and long-term surveillance and maintenance of nuclear-related installations, and sites. The target audience for this effort is the membership of the Division, the Society, and the public at large.
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2024 ANS Annual Conference
June 16–19, 2024
Las Vegas, NV|Mandalay Bay Resort and Casino
Standards Program
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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Latest News
Oklo to collaborate with Atomic Alchemy on isotope production
Fast reactor developer Oklo, which recently went public on the New York Stock Exchange, announced on May 13 that it has signed a memorandum of understanding with Atomic Alchemy to cooperate on the production of radioisotopes for medical, energy, industry, and science applications.
Jinkai Wang, Modi Lin
Nuclear Technology | Volume 203 | Number 3 | September 2018 | Pages 221-231
Technical Paper | doi.org/10.1080/00295450.2018.1448671
Articles are hosted by Taylor and Francis Online.
Many countries have paid more attention to seismic risk in nuclear power plants recently. Recent U.S. Nuclear Regulatory Commission actions have increased the expectation that major efforts will be required to expand plant Probabilistic Risk Analysis (PRA) models to include seismic events. PRA is a powerful tool to identify the seismic vulnerabilities in a nuclear power plant. This study introduces a method to quantify seismic risk in a nuclear power plant. A special seismic risk quantification tool was developed to perform uncertainty simulation for seismic occurrence frequencies and failure events probabilities in this work. Compared with some other software, some significant improvements were made in simulation scope and data processing method. This study took a nuclear power plant under construction in China as an example. The seismic vulnerabilities were identified and the risk insights were proposed to further reduce the risk. In order to optimize the plant design, a risk-informed seismic PRA was applied in the design for the first time. An optimization strategy is proposed to make the plant more cost effective and competitive in the market. This study provides a very useful guidance for plant design optimization in the future.