ANS is committed to advancing, fostering, and promoting the development and application of nuclear sciences and technologies to benefit society.
Explore the many uses for nuclear science and its impact on energy, the environment, healthcare, food, and more.
Explore membership for yourself or for your organization.
Conference Spotlight
2026 ANS Annual Conference
May 31–June 3, 2026
Denver, CO|Sheraton Denver
Latest Magazine Issues
Mar 2026
Jan 2026
Latest Journal Issues
Nuclear Science and Engineering
April 2026
Nuclear Technology
February 2026
Fusion Science and Technology
Latest News
NRC looks to leverage previous approvals for large LWRs
During this time of resurging interest in nuclear power, many conversations have centered on one fundamental problem: Electricity is needed now, but nuclear projects (in recent decades) have taken many years to get permitted and built.
In the past few years, a bevy of new strategies have been pursued to fix this problem. Workforce programs that seek to laterally transition skilled people from other industries, plans to reuse the transmission infrastructure at shuttered coal sites, efforts to restart plants like Palisades or Duane Arnold, new reactor designs that build on the legacy of research done in the early days of atomic power—all of these plans share a common throughline: leveraging work already done instead of starting over from square one to get new plants designed and built.
Jung-Woo Kim, Dong-Keun Cho, Nak-Youl Ko, Jongtae Jeong, Min-Hoon Baik
Nuclear Technology | Volume 203 | Number 1 | July 2018 | Pages 1-16
Technical Paper | doi.org/10.1080/00295450.2018.1426331
Articles are hosted by Taylor and Francis Online.
New methodology for a risk-based safety assessment of a geological disposal system of nuclear waste was implemented using the numerical Korea Atomic Energy Research Institute (KAERI) Performance Assessment Model (K-PAM). K-PAM was applied to a conceptual geological disposal system for pyroprocessed radioactive wastes based on the KAERI Underground Research Tunnel (KURT) site. The methodology was systematically organized for model development considering two types of external events: earthquakes and well intrusion. Following description of its conceptual models and submodules, K-PAM was partially verified by comparing the consequences of two major modules of K-PAM—engineered barrier system and natural barrier system—with those by a well-known, comparable process model using COMSOL. In addition, K-PAM was demonstrated using three scenarios: (1) the reference scenario, in which the normal consequences of the disposal system without external events could be predicted; (2) the deterministic complex scenario, in which the impacts of individual external events on the disposal system could be estimated separately; and (3) the probabilistic complex scenario, in which the efficiency of the new methodology for a risk-based safety assessment could be confirmed numerically by showing the probable maximum dose rate according to any single scenario, the convergence of risk, the dominant impacts contributing to the maximum dose rate, and the probability of occurrence of the scenario groups.