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 ANS Annual Conference
May 31–June 3, 2026
Denver, CO|Sheraton Denver
Latest Magazine Issues
May 2026
Jan 2026
2026
Latest Journal Issues
Nuclear Science and Engineering
July 2026
Nuclear Technology
June 2026
Fusion Science and Technology
Latest News
NN Asks: How can nuclear energy support the rising energy demand from data centers?
Nicolas Stauff
Data centers power our digital lives—along with many aspects of our economy and the rapid expansion of artificial intelligence. Electricity demand is rising rapidly, with the domestic data center load projected to increase from 4 percent to 9 percent of U.S. electricity consumption by 2030. This surge is already reshaping utility planning, grid interconnection queues, and the market for reliable power nationwide.
Nuclear energy is well matched to data center needs, because it provides reliable, 24/7 electricity with stable long-term costs. Modern hyperscale data center campuses can require hundreds of megawatts for IT equipment and cooling, and many applications demand maximum uptime. At the same time, leading hyperscalers have aggressive decarbonization commitments that limit reliance on fossil generation. Data centers also require fiber connectivity, a skilled workforce, and local acceptance—yet they can deliver meaningful tax base and employment impacts, especially when coupled with a major energy project.
Abhishek Chakraborty, Suneet Singh, M. P. S. Fernando
Nuclear Science and Engineering | Volume 195 | Number 9 | September 2021 | Pages 990-1007
Technical Paper | doi.org/10.1080/00295639.2021.1898878
Articles are hosted by Taylor and Francis Online.
Conventionally, the stability of xenon oscillations is estimated by solution of the time-dependent neutron diffusion equation, coupled with iodine and xenon equations, by finding out the damping ratios in each case. This is performed for different initial perturbations and core burnup conditions and is a very time-consuming and tedious process. Some earlier studies include linear stability estimation, which is valid for small perturbations, but not much work has been done in nonlinear stability analysis for spatial xenon oscillations in particular. In this paper, an approach for carrying out bifurcation analysis of xenon oscillations in large pressurized heavy water reactors (PHWRs) is demonstrated using reduced-order models. The reduced-order model for studying spatial xenon oscillations consists of multipoint kinetic equations coupled with xenon and iodine equations along with explicit fuel and coolant temperature feedback. Both subcritical Hopf bifurcation and supercritical Hopf bifurcation in different parameter planes exist, which leads to unstable limit cycles in the linearly stable region (subcritical Hopf bifurcation) and stable limit cycles in the linearly unstable region (supercritical Hopf bifurcation). The stability map provides a total picture of the stability of the out-of-phase oscillations in a PHWR. Depending on the value of the fuel temperature coefficient of reactivity and coolant temperature coefficient of reactivity, one can determine the operating power level above which the out-of-phase xenon oscillations start to grow. This model can be used to analyze nonlinear stability characteristics without spatial power control, which is helpful in identification of stable/unstable regimes in different parameter spaces and is likely to aid in reactor design.