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Argonne: Where AI research meets education and training
Last September, in the Chicago suburb of Lemont, Ill., Argonne National Laboratory hosted its first AI STEM Education Summit. More than 180 educators from high schools, community colleges, and universities; STEM administrators; and experts in various disciplines convened at “One Ecosystem, Many Pathways–Building an AI-Ready STEM Workforce” to discuss how artificial intelligence is reshaping STEM-related industries, including the implications for the nuclear engineering classroom and workforce.
George C. Geisler, J. A. Urbanski, W. F. Witzig
Nuclear Technology | Volume 40 | Number 3 | October 1978 | Pages 240-247
Technical Paper | Reactor | doi.org/10.13182/NT78-A26722
Articles are hosted by Taylor and Francis Online.
The primary objective of the study was to analyze the feasibility of using a large ice water heat sink for power plant cooling and to predict the effect of the relatively cool condenser water, produced by this system, on plant performance. For a chosen hypothetical site, the study has shown that a large ice mass could be produced during winter in northern regions and coupled with a 1000-MW(electric) nuclear power plant to provide year-round cooling water as low as 4.5°C (40°F). When introduced into the plant, this water could increase the thermal efficiency of the particular plant chosen from 34.1 to 35.4%. Although the initial cost of this system is above that of a cooling tower, the additional revenue realized through increased plant efficiency can, over the life of the plant, help to offset this increased cost.