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
September 2026
Nuclear Technology
Fusion Science and Technology
August 2026
Latest News
Centrus, X-energy sign enrichment contract as TRISO-X expands TX-1 campus
Centrus Energy Corp. will be providing X-energy with enrichment services for low-enriched uranium and high-assay, low-enriched uranium to support X-energy’s planned deployments of Xe-100 small modular reactors and TRISO-X fuel, according to the terms of a new contract signed by the companies. The fuel will be produced at Centrus’s American Centrifuge Plant in Piketon, Ohio. In turn, X-energy will provide Centrus with prepayments to help support expanding the capacity of Centrus’s domestic commercial enrichment program.
Akio Yamamoto, Masayuki Toujou, Kentarou Komori, Yasunori Kitamura, Yoshihiro Yamane
Nuclear Technology | Volume 154 | Number 3 | June 2006 | Pages 318-327
Technical Paper | Fuel Cycle and Management | doi.org/10.13182/NT06-A3736
Articles are hosted by Taylor and Francis Online.
In this paper, new optimization algorithms for the in-core fuel shuffling sequence of a boiling water reactor (BWR) are proposed to reduce outage time. During the short outage of a BWR, fuel shuffling can be a critical path in the periodic overall plant inspection. Therefore, a reduction in operation time for in-core fuel shuffling is essential to improve the plant capacity factor. For BWR in-core fuel shuffling, the shuffling sequence should be selected carefully since a fuel shuffling operation may affect those following it. Furthermore, several constraints must be satisfied during the in-core fuel shuffling of a BWR; e.g., two fuel assemblies must be inserted diagonally in a cell to fix the position of a control blade in it. Therefore, it is difficult to optimize BWR in-core fuel shuffling. In order to resolve this issue, new optimization methods are proposed, and the performances of some optimization algorithms are compared. Test calculations in actual BWR plants reveal that the workload for in-core fuel shuffling can be reduced by the proposed methods. The results of this paper will contribute to increasing the plant capacity factor by reducing the outage time.