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
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
Dec 2025
Jul 2025
Latest Journal Issues
Nuclear Science and Engineering
January 2026
Nuclear Technology
December 2025
Fusion Science and Technology
November 2025
Latest News
Christmas Light
’Twas the night before Christmas when all through the house
No electrons were flowing through even my mouse.
All devices were plugged by the chimney with care
With the hope that St. Nikola Tesla would share.
Pran K. Paul, Michael V. Gregory, Tunc Aldemir
Nuclear Technology | Volume 137 | Number 2 | February 2002 | Pages 147-162
Technical Paper | Radioactive Waste Management and Disposal | doi.org/10.13182/NT02-A3264
Articles are hosted by Taylor and Francis Online.
A dynamic optimization scheme has been developed to generate high-level-waste (HLW) blending sequences that optimize waste-processing parameters such as raw waste volume processed in a batch, waste-processing time, or waste-processing cost. The optimization algorithm takes advantage of the linear algebraic equation formulation and the continuous-discrete event mapping algorithms used in the Production Planning Model (ProdMod) simulator development. The FORTRAN-based optimizer is interfaced with the SPEEDUP-based dynamic process simulator ProdMod. The optimization scheme has been successfully implemented to maximize the amount of raw waste volume processed in a batch for one of the salt-processing options at the Savannah River Site HLW complex. Parametric studies demonstrate that this optimization scheme provides a realistic approach for guiding the operation of HLW complexes. The optimization scheme is applicable to other sites in the nuclear waste complex (e.g., Hanford) and also for process industries where the dynamics are simulated using Aspen Technology's SPEEDUP software development package.