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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.
Leonid R. Pogosbekyan, Dmitrij A. Lysov
Nuclear Science and Engineering | Volume 121 | Number 2 | October 1995 | Pages 345-351
Technical Paper | doi.org/10.13182/NSE95-A28570
Articles are hosted by Taylor and Francis Online.
There is uncertainty with experimental data as well as with input data of theoretical calculations. The neutron distribution from the variational principle, which takes into account both theoretical and experimental data, is obtained to increase the accuracy and speed of neutronic calculations. The neutron imbalance in mesh cells and the discrepancy between experimentally measured and calculated functionals of the neutron distribution are simultaneously minimized. A fast-working and simple-programming iteration method is developed to minimize the objective functional. The method can be used in the core monitoring and control system for (a) power distribution calculations, (b) in- and ex-core detector calibration, (c) macro-cross sections or isotope distribution correction by experimental data, and (d) core and detector diagnostics.