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ANS panel discussion looks at nuclear’s place in maritime, energy, medicine, space
The applications of nuclear energy extend beyond providing power to the electrical grid. Advanced nuclear technologies may soon have new applications in oil and gas facilities, in hospitals and clinics, on the open seas, and on the moon.
A June 1 executive session, “How Nuclear Technologies will Shape the Future Energy Economy,” at the American Nuclear Society’s Annual Conference allowed experts have an open discussion on the future of nuclear advancements in multiple sectors.
Alfred L. B. Ho, Alexander Sesonske
Nuclear Technology | Volume 58 | Number 3 | September 1982 | Pages 422-436
Technical Paper | Fuel Cycle | doi.org/10.13182/NT82-A32978
Articles are hosted by Taylor and Francis Online.
Received December 1, 1981 Accepted for Publication March 10, 1982 A fast, yet accurate, fuel cycle analysis method-ology was developed to optimize the various options for in-core nuclear fuel management. The methodology encompasses two major parts, a multicycle point reactor model, PUFLAC, and a reload pattern optimization code called DSPWR. The PUFLAC model provides a convenient and reliable survey ability to explore the various fuel cycle scheme possibilities while DSPWR utilizes a direct search scheme to minimize the core power peaking with consideration given to local power-peaking factor variation. A two-dimensional nodal code used in this direct search scheme was developed for the power distribution calculations and is based on the widely used code, EPRI-NODE-P, with very good agreement obtained. This methodology has been demonstrated by considering an extended burnup three-to-four batch transition cycle analysis using Zion Unit 1 as a reference pressurized water reactor plant with realistic power-peaking constraints. The four-batch scheme can yield an increase in uranium utilization of ∼5% and a decrease in fuel cycle costs of ∼7%. The transition from a three to four-batch scheme can yield an overall increase in uranium utilization of 2.4% and a decrease in fuel cycle costs of ∼4%. The transition fuel-loading patterns optimized by DSPWR satisfy the core power-peaking constraint with a 2 to 3% margin at beginning-of-cycle.