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Comparison and Screening of Nuclear Fuel Cycle Options in View of Sustainable Performance and Waste Management

Comparison and Screening of Nuclear Fuel Cycle Options in View of Sustainable Performance and Waste Management
Is it true that a nuclear technology approach to generate electric energy offers a clean, safe, reliable and affordable, i.e., sustainable option? In principle yes, however a technology impact on the environment strongly depends on the actual implementation bearing residual risks due to technical failures, human factors, or natural catastrophes. A full response is thus difficult and can be given first when the wicked multi-disciplinary issues get well formulated and “resolved”. These problems are lying at the interface between: the necessary R&D effort, the industrial deployment and the technology impact in view of the environmental sustainability including the management of produced hazardous waste. As such, this problem is clearly of multi-dimensional nature. This enormous complexity indicates that just a description of the problem might cause a dilemma. The paper proposes a novel holistic approach applying Multi-Criteria Decision Analysis to assess the potential of nuclear energy systems with respect to a sustainable performance. It shows how to establish a multi-level criteria structure tree and examines the trading-off techniques for scoring and ranking of options. The presented framework allows multi-criteria and multi-group treatment. The methodology can be applied to support any pre-decisional process launched in a country to find the best nuclear and/or non-nuclear option according to national preferences and priorities. The approach addresses major aspects of the environmental footprint of nuclear energy systems. As a case study, advanced nuclear fuel cycles are analyzed, which were previously investigated by the Nuclear Energy Agency (NEA/OECD) expert group WASTEMAN. Sustainability facets of waste management, resource utilization and economics are in focus.
- Karlsruhe Institute of Technology Germany
- Moscow Engineering Physics Institute Russian Federation
- National Research University of Electronic Technology Russian Federation
Technology, ddc:600, 330, performance comparison, multi-criteria decision analysis, TJ807-830, TD194-195, Renewable energy sources, sensitivity/uncertainty analysis, advanced nuclear fuel cycles; waste management; resource utilisation; economics; performance comparison, multi-criteria decision analysis; sensitivity/uncertainty analysis, environmental footprint, advanced nuclear fuel cycles, GE1-350, performance comparison, Environmental effects of industries and plants, 600, economics, multi-criteria decision analysis, Environmental sciences, sensitivity/uncertainty analysis, environmental footprint, resource utilisation, info:eu-repo/classification/ddc/600, waste management, environmental footprint
Technology, ddc:600, 330, performance comparison, multi-criteria decision analysis, TJ807-830, TD194-195, Renewable energy sources, sensitivity/uncertainty analysis, advanced nuclear fuel cycles; waste management; resource utilisation; economics; performance comparison, multi-criteria decision analysis; sensitivity/uncertainty analysis, environmental footprint, advanced nuclear fuel cycles, GE1-350, performance comparison, Environmental effects of industries and plants, 600, economics, multi-criteria decision analysis, Environmental sciences, sensitivity/uncertainty analysis, environmental footprint, resource utilisation, info:eu-repo/classification/ddc/600, waste management, environmental footprint
6 Research products, page 1 of 1
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citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).7 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
