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
June 2026
Nuclear Technology
Fusion Science and Technology
Latest News
Getting back to yes: A local perspective on decommissioning, restart, and responsibility
For 45 years, Duane Arnold Energy Center operated in Linn County, Ia., near the town of Palo and just northwest of Cedar Rapids. The facility, owned by NextEra Energy, was the only nuclear power plant in the state.
In August 2020, a historic derecho swept across eastern Iowa with winds approaching 140 miles per hour. Damage to the plant’s cooling towers accelerated a shutdown that had already been planned, and the facility entered decommissioning soon after, with its fuel removed in October of that year. Iowa’s only nuclear plant had gone off line.
Today the national energy landscape looks very different than it did just six short years ago. Electricity demand is rising rapidly as data centers, artificial intelligence infrastructure, advanced manufacturing, and electrification expand across the country. Reliable, carbon-free baseload power has become increasingly valuable. In that context, Linn County has approved the rezoning necessary to support the recommissioning and restart of Duane Arnold and is actively supporting NextEra’s efforts to secure the remaining state and federal approvals.
X. Cheng, M. Zhao (KIT), X. J. Liu (SJTU)
Proceedings | Advances in Thermal Hydraulics 2018 | Orlando, FL, November 11-15, 2018 | Pages 227-240
The present study proposes two sets of correlations of heat transfer to supercritical water for the cases with given heat flux and given wall surface temperature, respectively. Three steps are taken to develop the new correlations. At first a large data base was established. The reliability of each test point in the data base was assessed with respect to its consistence and reproducibility. In the second step, important dimensionless parameters were identified with two different approaches, i.e. the Spearman's rank correlation and the group-wise statistic assessment. Both approaches led to the similar outcomes and identified the most important dimensionless parameters, which can be used to predict the heat transfer coefficient. In the third step, two sets of correlations were proposed for the cases of given heat flux and given wall surface temperature, respectively, to avoid iterative procedure and subsequently possible multiple solutions. Both correlations give reasonable prediction of the experimental data. Nevertheless, the correlation for the cases with given wall surface temperature shows much better accuracy than that for the cases of given heat flux.