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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.
R. W. Hardie, J. H. Chamberlin
Nuclear Technology | Volume 33 | Number 2 | April 1977 | Pages 212-222
Technical Paper | Economic | doi.org/10.13182/NT77-A31778
Articles are hosted by Taylor and Francis Online.
The relative competitiveness of nuclear and coal plants is assessed by dividing the U.S. into 21 regions and using a computer model to calculate costs for each plant in each region. Scenarios were considered in which resource depletion and environmental considerations affect coal generation costs. Analysis shows that if coal prices are constant in real terms and if SO2 scrubbers are not required, nuclear plants produce electricity less expensively than coal plants in 45% of the country (adjusted for generation size). When either coal prices rise in real terms or when scrubbers are required, nuclear plants have the advantage in more than 90% of the market. In addition, sensitivity studies show that uncertainties in forecasting uranium and coal prices produce the largest difficulty in accurately comparing nuclear and coal electrical generation costs.