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Conference Spotlight
Nuclear Energy Conference & Expo (NECX)
September 8–11, 2025
Atlanta, GA|Atlanta Marriott Marquis
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U.S. nuclear supply chain: Ready for liftoff
Craig Piercycpiercy@ans.org
This month, September 8–11, the American Nuclear Society is teaming up with the Nuclear Energy Institute to host our first-ever Nuclear Energy Conference and Expo—NECX for short—in Atlanta. This new meeting combines ANS’s Utility Working Conference and NEI’s Nuclear Energy Assembly to form what NEI CEO Maria Korsnick and I hope will be the premier nuclear industry gathering in America.
We did this because after more than four decades of relative stagnation, the U.S. nuclear supply chain is finally entering a new era of dynamic growth. This resurgence is being driven by several powerful and increasingly durable forces: the explosive demand for electricity from artificial intelligence and data centers, an unprecedented wave of public and private acceptance of—and investment in—advanced nuclear technologies, and a strong market signal for reliable, on-demand power. Add the recent Trump administration executive orders on nuclear into the mix, and you have all the makings of an accelerant-rich business environment primed for rapid expansion.
Hyoung Tae Kim, Hee Cheon No
Nuclear Technology | Volume 119 | Number 1 | July 1997 | Pages 98-104
Technical Note | Heat Transfer and Fluid Flow | doi.org/10.13182/NT77-A35397
Articles are hosted by Taylor and Francis Online.
The improvement of RELAP5/MOD3.1 code predictive capability for steam condensation on an inclined surface is investigated. In modeling the secondary condensers with RELAP5, two problems were encountered with respect to condensation in vertically stacked tube walls: the capability for turbulent film condensation and the effect of the wall node size on the prediction of condensation heat transfer coefficients (HTCs). The code original model based on the Nus-selt model for laminar film condensation is extended to the turbulent film condensation by introducing two previously developed models into the code. The code is further improved to properly take into account the condensation length over many nodings. To eliminate the dependence on the node size in predicting the condensation HTC of the code, film Reynolds numbers at each node are calculated recursively to track the growing condensate film thickness along the condensation length. The modified version is tested under idealized boundary conditions and with the simulation of secondary condensers and is compared with an analytical solution and the original code. It turns out that the simulation results by this modified version are independent of the node size and are in better agreement with the analytical solution than those by the original one.