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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.
Pedro Mata, Rafael de la Fuente, Pablo G. Sedano, Juan Serra
Nuclear Technology | Volume 121 | Number 3 | March 1998 | Pages 275-288
Technical Paper | RETRAN | doi.org/10.13182/NT98-A2839
Articles are hosted by Taylor and Francis Online.
The development of a reload transient analysis methodology for Cofrentes nuclear power plant is presented based on the RETRAN-03 code. The starting point of this methodology was the Cofrentes best-estimate RETRAN model, which had been benchmarked against a number of startup and operational transients. In addition, the best-estimate model had been used to support plant operation and to analyze actual operational and abnormal transients.A number of sensitivity studies have been carried out with the best-estimate model to analyze the effect of the uncertainty associated with the key parameters on the critical power ratio in the most limiting Cofrentes reload transients. The individual uncertainties of key parameters have been combined to obtain the change in critical power ratio (CPR) with a 95% probability level (CPR95).Finally, the Cofrentes licensing model has been defined using conservative values for some significant parameters with the criterion that the calculated CPR cover CPR95. The results obtained with the licensing model have been checked against vendor calculations for the licensing reload transients.This methodology has been submitted to the Spanish Regulatory Commission, and it is expected to be used for the next Cofrentes reload licensing analysis.