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
Aug 2026
Jan 2026
2026
Latest Journal Issues
Nuclear Science and Engineering
October 2026
Nuclear Technology
September 2026
Fusion Science and Technology
August 2026
Latest News
Front-end nuclear fuel supply cooperation: Turning allied interdependence into strategic advantage
The global nuclear revival, which is fueled by unprecedented demand for firm, affordable, dispatchable power for artificial intelligence and data center build-out, energy security imperatives, and climate commitments, has exposed a structural reality of the Western fuel cycle: No single allied nation currently possesses the full suite of front-end capabilities. From mining through conversion, enrichment, fabrication, and the emerging deconversion and metallization steps required for reactor fuels, capability is distributed across Canada, France, Japan, the United Kingdom, and the United States (collectively, the “Sapporo Five”), as well as a small group of close partners.
Man Gyun Na, Belle R. Upadhyaya, Jung In Choi
Nuclear Science and Engineering | Volume 129 | Number 3 | July 1998 | Pages 283-293
Technical Paper | doi.org/10.13182/NSE98-A1982
Articles are hosted by Taylor and Francis Online.
A multivariable adaptive control algorithm is applied to the axial flux shape control in a pressurized water reactor. This is one of the most challenging control problems in the nuclear field. The reactor model used for computer simulations is a two-point xenon oscillation model based on the nonlinear xenon and iodine balance equations and a one-group, one-dimensional, neutron diffusion equation having nonlinear power reactivity feedback that adequately describes axial oscillations and treats the nonlinearities explicitly. The reactor core is axially divided into two regions, and it is considered that each region has one input and one output and is coupled with the other region. The control parameters are updated on-line with the generalized least-squares method to adjust the varying operating conditions. Therefore, this algorithm is able to treat the varying operating conditions well. Also, this control algorithm exhibits very fast responses due to the step and ramp changes of target axial shape without any residual flux oscillations between the upper and lower halves of the reactor core.