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
Nuclear Energy Conference & Expo (NECX)
September 8–11, 2025
Atlanta, GA|Atlanta Marriott Marquis
Standards Program
The Standards Committee is responsible for the development and maintenance of voluntary consensus standards that address the design, analysis, and operation of components, systems, and facilities related to the application of nuclear science and technology. Find out What’s New, check out the Standards Store, or Get Involved today!
Latest Magazine Issues
Aug 2025
Jan 2025
Latest Journal Issues
Nuclear Science and Engineering
September 2025
Nuclear Technology
Fusion Science and Technology
August 2025
Latest News
New coolants, new fuels: A new generation of university reactors
Here’s an easy way to make aging U.S. power reactors look relatively youthful: Compare them (average age: 43) with the nation’s university research reactors. The 25 operating today have been licensed for an average of about 58 years.
Charles Abou-Ghantous
Nuclear Technology | Volume 52 | Number 1 | January 1981 | Pages 57-65
Technical Paper | Fuel Cycle | doi.org/10.13182/NT81-A32689
Articles are hosted by Taylor and Francis Online.
A simple economic analysis is proposed for light water reactor (LWR) in-core fuel management. Its final objective is the fuel cost. Using the discrete discounting technique with single payment costs, the fuel cost for one equilibrium cycle or a sequence of a number of nonequilibrium cycles may be determined. In this latter case, the costs are projected as groups of costs at the reference time. This technique is simplified by defining new economic factors, time scales, and burnup values. The fuel cost thus obtained is an average cost over the number of cycles considered. This analysis is written as a subroutine FULCOS suitable for absorption by short running computer codes that work the optimization problems for LWRs.