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IAEA project aims to develop polymer irradiation model
The International Atomic Energy Agency has launched a new coordinated research project (CRP) aimed at creating a database of polymer-radiation interactions in the next five years with the long-term goal of using the database to enable machine learning–based predictive models.
Radiation-induced modifications are widely applicable across a range of fields including healthcare, agriculture, and environmental applications, and exposure to radiation is a major factor when considering materials used at nuclear power plants.
Upendra S. Rohatgi, Jae H. Jo, John C. Lee, Robert A. Bari
Nuclear Technology | Volume 137 | Number 3 | March 2002 | Pages 252-264
Technical Paper | Environmental Science, Technology, and Effects | doi.org/10.13182/NT02-A3272
Articles are hosted by Taylor and Francis Online.
The impact of the nuclear option in the national energy outlook on the environment and the U.S. economy is analyzed with the MARKAL-MACRO energy systems computer code. The base case projection by the U.S. Energy Information Administration is the starting point for this study. The possibility of license renewal of the current fleet of U.S. nuclear power plants is considered as well as the introduction of cost-competitive advanced light water reactors. Electricity energy sector projections for fossil fuel plants, renewable energy sources, and nuclear power plants are analyzed on a least cost basis. The impact of constraints on the emissions of greenhouse gases is included in the analysis. It is found that it would be economically favorable to introduce as many as 300 additional nuclear power plants in the United States by the year 2025 to meet emission constraints of limiting emission to the 1990 level in the years beyond 2010.