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 Annual Conference
May 31–June 3, 2026
Denver, CO|Sheraton Denver
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
Nov 2025
Jul 2025
Latest Journal Issues
Nuclear Science and Engineering
December 2025
Nuclear Technology
Fusion Science and Technology
November 2025
Latest News
X-energy raises $700M in latest funding round
Advanced reactor developer X-energy has announced that it has closed an oversubscribed Series D financing round of approximately $700 million. The funding proceeds are expected to be used to help continue the expansion of its supply chain and the commercial pipeline for its Xe-100 advanced small modular reactor and TRISO-X fuel, according the company.
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.