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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.
Geoffrey Waplington, Hannes Fichtner
Nuclear Technology | Volume 38 | Number 2 | April 1978 | Pages 215-220
Technical Paper | Low-Temperature Nuclear Heat / Reactor | doi.org/10.13182/NT78-A32015
Articles are hosted by Taylor and Francis Online.
The technical as well as the economic aspects of using a large commercial light water reactor for the production of both electricity and potable water have been examined. For the basis of the study, the multistage flash distillation process was selected, in conjunction with a reactor rated at not less than 2100 MW(thermal). Combined use of a condensing and a back-pressure turbine (the latter matched to distillation plant steam requirements) represents a convenient method for supplying process heat. Overall costs can be fairly allocated to the two products using the “power credit” method. A sample economic evaluation indicates highly favorable water costs as compared with more conventional distillation schemes based on fossil fuel