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
Jan 2026
Jul 2025
Latest Journal Issues
Nuclear Science and Engineering
February 2026
Nuclear Technology
January 2026
Fusion Science and Technology
November 2025
Latest News
Jeff Place on INPO’s strategy for industry growth
As executive vice president for industry strategy at the Institute of Nuclear Power Operations, Jeff Place leads INPO’s industry-facing work, engaging directly with chief nuclear officers.
Sadao Uchikawa
Nuclear Technology | Volume 33 | Number 1 | April 1977 | Pages 17-29
Technical Paper | Reactor | doi.org/10.13182/NT77-A31760
Articles are hosted by Taylor and Francis Online.
A three-dimensional boiling water reactor (BWR) core simulation program, COSMO-2, has been developed on the basis of a few-group coarse-mesh diffusion scheme with one mesh per assembly, in which the accuracy is improved by use of effective diffusion coefficients to accurately evaluate the net neutron current at the interface between neighboring assemblies. As an experimental verification of the COSMO-2 model, the first-cycle operation of a typical BWR is simulated, and the accuracy of the simulation is evaluated quantitatively in terms of standard deviation from the measured whole-core traveling in-core probe (TIP) data. To calculate the TIP reading from fuel assembly power obtained from COSMO-2, the relation between TIP reading and average power of fuel assemblies is generated by a three-dimensional local core analysis program, FASMO. Good agreement is obtained between measurement and calculation. The maximum value of the root-mean-square (rms) error is 6.3%, including the asymmetric nature of measured data and the measurement uncertainty (3% in rms).