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Nuclear Energy Conference & Expo (NECX)
September 8–11, 2025
Atlanta, GA|Atlanta Marriott Marquis
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Ho Nieh nominated to the NRC
Nieh
President Trump recently nominated Ho Nieh for the role of commissioner in the Nuclear Regulatory Commission through the remainder of a term that will expire June 30, 2029.
Nieh has been the vice president of regulatory affairs at Southern Nuclear since 2021, though he is currently working as a loaned executive at the Institute of Nuclear Power Operations, where he has been for more than a year.
Nieh’s experience: Nieh started his career at the Knolls Atomic Power Laboratory, where he worked primarily as a nuclear plant engineer and contributed as a civilian instructor in the U.S. Navy’s Nuclear Power Program.
From there, he joined the NRC in 1997 as a project engineer. In more than 19 years of service at the organization, he served in a variety of key leadership roles, including division director of Reactor Projects, division director of Inspection and Regional Support, and director of the Office of Nuclear Reactor Regulation.
F. Beonio-Brocchieri, Helmut Bunz, Werner Schöck, Ian H. Dunbar, Jean Gauvain, Shinya Miyahara, Yoshiaki Himeno, Kunihisa Soda, Norihiro Yamano
Nuclear Technology | Volume 81 | Number 2 | May 1988 | Pages 193-204
Technical Paper | Nuclear Aerosol Science / Nuclear Safety | doi.org/10.13182/NT88-A34092
Articles are hosted by Taylor and Francis Online.
Codes used to simulate aerosol behavior inside containments of nuclear power plants after assumed severe accidents are described. The basic aerosol physical equations of all codes are the same worldwide. Only minor differences can be detected regarding some special aerosol physical processes. These differences are not inherent but caused by boundary conditions, which are of special interest for the code users. The comparison of the single codes also shows that the general agreement achieved by the numerical treatment of the aerosol equation requires an appropriate discretization of the distribution function to yield stable solutions under all arbitrary conditions. The application of solutions based on special distribution functions should, therefore, be restricted to certain scenarios.
