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http://dx.doi.org/10.7733/jnfcwt.2019.17.1.47

Multi-criteria Comparative Evaluation of Nuclear Energy Deployment Scenarios With Thermal and Fast Reactors  

Andrianov, A.A. (National Research Nuclear University MEPhI (Moscow Engineering Physics Institute))
Andrianova, O.N. (Institute for Physics and Power Engineering named after A.I.Leypunsky)
Kuptsov, I.S. (National Research Nuclear University MEPhI (Moscow Engineering Physics Institute))
Svetlichny, L.I. (National Research Nuclear University MEPhI (Moscow Engineering Physics Institute))
Utianskaya, T.V. (JSC Engineering Center of Nuclear Containers)
Publication Information
Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT) / v.17, no.1, 2019 , pp. 47-58 More about this Journal
Abstract
The paper presents the results of a multi-criteria comparative evaluation of 12 feasible Russian nuclear energy deployment scenarios with thermal and fast reactors in a closed nuclear fuel cycle. The comparative evaluation was performed based on 6 performance indicators and 5 different MCDA methods (Simple Scoring Model, MAVT / MAUT, AHP, TOPSIS, PROMETHEE) in accordance with the recommendations elaborated by the IAEA/INPRO section. It is shown that the use of different MCDA methods to compare the nuclear energy deployment scenarios, despite some differences in the rankings, leads to well-coordinated and similar results. Taking into account the uncertainties in the weights within a multi-attribute model, it was possible to rank the scenarios in the absence of information regarding the relative importance of performance indicators and determine the preference probability for a certain nuclear energy deployment scenario. Based on the results of the uncertainty/sensitivity analysis and additional analysis of alternatives as well as the whole set of graphical and attribute data, it was possible to identify the most promising nuclear energy deployment scenario under the assumptions made.
Keywords
Thermal reactors; Fast reactors; Closed nuclear fuel cycle; MCDA; Uncertainty;
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Times Cited By KSCI : 2  (Citation Analysis)
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