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Division members promote the advancement of mathematical and computational methods for solving problems arising in all disciplines encompassed by the Society. They place particular emphasis on numerical techniques for efficient computer applications to aid in the dissemination, integration, and proper use of computer codes, including preparation of computational benchmark and development of standards for computing practices, and to encourage the development on new computer codes and broaden their use.
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Conference on Nuclear Training and Education: A Biennial International Forum (CONTE 2025)
February 3–6, 2025
Amelia Island, FL|Omni Amelia Island Resort
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Article considers incorporation of AI into nuclear power plant operations
The potential application of artificial intelligence to the operation of nuclear power plants is explored in an article published in late December in the Washington Examiner. The article, written by energy and environment reporter Callie Patteson, presents the views of a number of experts, including Yavuz Arik, a strategic energy consultant.
Byung-Soo Lee, William A. Jester
Nuclear Technology | Volume 113 | Number 2 | February 1996 | Pages 221-231
Technical Paper | Reactor Operation | doi.org/10.13182/NT96-A35190
Articles are hosted by Taylor and Francis Online.
Experimental methods are developed, and the mechanisms of airborne radioiodine deposition in reactor sample lines are studied. A short-half-lived radioiodine tracer, 128I (t1/2 = 25 min), is used in the chemical forms of molecular iodine and methyl iodide. In-tube measurements using a calibrated Geiger tube are conducted to determine the space-dependent iodine deposition rate and the penetration factor. The reproducibility of average deposition velocity and thus penetration factors for a given sample line under similar experimental conditions show good improvement over those of previous researchers. For the three stainless steel tubes tested under comparable conditions, the deposition velocities are tube specific, with the difference in deposition velocities being a factor of >10. The most important factors that determine the I2 deposition rate are organic contamination, sample air relative humidity, and sample line inside surface structures. Heat tracing and passivation procedures are found to be effective in reducing I2 deposition rate. The CdI2 filter in the iodine sampler system showed a retention efficiency of ∼81% under the test conditions rather than the 98% reported by the manufacturer. In conclusion, in-plant testing is necessary to determine the deposition losses of airborne radioiodine in the existing plant sample lines. The sample lines should be cleaned at regular intervals and heat traced to minimize the deposition losses. For very long sample lines, passivation procedures may be required.