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.
Division Spotlight
Thermal Hydraulics
The division provides a forum for focused technical dialogue on thermal hydraulic technology in the nuclear industry. Specifically, this will include heat transfer and fluid mechanics involved in the utilization of nuclear energy. It is intended to attract the highest quality of theoretical and experimental work to ANS, including research on basic phenomena and application to nuclear system design.
Meeting Spotlight
Utility Working Conference and Vendor Technology Expo (UWC 2024)
August 4–7, 2024
Marco Island, FL|JW Marriott Marco Island
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!
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Nuclear Science and Engineering
August 2024
Nuclear Technology
Fusion Science and Technology
Latest News
BWXT will scout potential TRISO fuel production sites in Wyoming
BWX Technologies Inc. announced today that its Advanced Technologies subsidiary has signed a cooperation agreement with the state of Wyoming to evaluate locations and requirements for siting a potential new TRISO nuclear fuel fabrication facility in the state.
F. J. Homan, T. N. Washburn
Nuclear Technology | Volume 8 | Number 4 | April 1970 | Pages 384-394
Economic | doi.org/10.13182/NT70-A28665
Articles are hosted by Taylor and Francis Online.
Optimized schedules for the expansion of fabrication capacity for nuclear fuels can result in substantial savings to the electrical economy. This is evident when the fabrication costs for optimized schedules are compared with conservative schedules based only on near-term demand. A method is presented by which such optimization is achieved through mathematical simulation of numerous logically selected expansion schedules which are all based on the same time-dependent demand data. The schedules are generated by assuming different plant utilization policies and planning horizons, and are compared on a levelized unit cost basis. The schedule yielding the lowest cost over the time period studied is defined as optimum. A parametric analysis is included to show the variation of optimum expansion schedules and unit costs with changes in the various economic parameters.