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Amelia Island, FL|Omni Amelia Island Resort
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Reboot: Nuclear needs a success . . . anywhere
The media have gleefully resurrected the language of a past nuclear renaissance. Beyond the hype and PR, many people in the nuclear community are taking a more measured view of conditions that could lead to new construction: data center demand, the proliferation of new reactor designs and start-ups, and the sudden ascendance of nuclear energy as the power source everyone wants—or wants to talk about.
Once built, large nuclear reactors can provide clean power for at least 80 years—outlasting 10 to 20 presidential administrations. Smaller reactors can provide heat and power outputs tailored to an end user’s needs. With all the new attention, are we any closer to getting past persistent supply chain and workforce issues and building these new plants? And what will the election of Donald Trump to a second term as president mean for nuclear?
As usual, there are more questions than answers, and most come down to money. Several developers are engaging with the Nuclear Regulatory Commission or have already applied for a license, certification, or permit. But designs without paying customers won’t get built. So where are the customers, and what will it take for them to commit?
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.