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 Nuclear Energy Conference & Expo (NECX)
August 24–27, 2026
Dallas, TX|Hilton Anatole
Latest Magazine Issues
Jul 2026
Jan 2026
2026
Latest Journal Issues
Nuclear Science and Engineering
September 2026
Nuclear Technology
August 2026
Fusion Science and Technology
Latest News
The human factor in licensing and operating the next generation of nuclear plants
As human factors specialists working at the intersection of human performance and nuclear operations, we are witnessing one of the nuclear sector’s most significant transitions in decades. The emergence of small modular reactors, microreactors, and other advanced designs is reshaping the industry’s landscape. Digital instrumentation and controls, passive safety systems, and increased automation are creating opportunities for greater safety margins and more flexible operation. These same features also fundamentally redefine what it means to “operate” a nuclear plant. Interactions among human roles, automation, and passive systems shape how people maintain awareness, exercise judgment, and intervene when necessary. These developments affect both operational realities and the regulatory foundations on which nuclear safety is built.
Ki Yong Choi, Hyun Sik Park, Sang Jae Kim, Hee Cheon No, Yong Seok Bang
Nuclear Technology | Volume 124 | Number 2 | November 1998 | Pages 103-117
Technical Paper | Thermal Hydraulics | doi.org/10.13182/NT98-A2912
Articles are hosted by Taylor and Francis Online.
The condensation models of the standard RELAP5/MOD3.2 code are assessed and improved based on a database that is constructed from previous experimental data of various condensation conditions. The RELAP5/MOD3.2 default model of laminar film condensation does not give any reliable predictions, and the alternative model always predicts values higher than those of the experimental data. Therefore, a new correlation based on the experimental data of various operating ranges is needed. The Shah correlation, which is used to calculate the turbulent film condensation heat transfer coefficients in the standard RELAP5/MOD3.2, gives good agreement with the database except for Kuhn's experimental data. The RELAP5/MOD3.2 horizontally stratified condensation model overpredicts both cocurrent and countercurrent experimental data. The Kim correlation predicts the database relatively well compared with that of RELAP5/MOD3.2.