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http://dx.doi.org/10.5516/NET.06.2013.049

A STATISTICAL APPROACH FOR DERIVING KEY NFC EVALUATION CRITERIA  

Kim, S.K. (Korea Atomic Energy Research Institute)
Kang, G.B. (Korea Atomic Energy Research Institute)
Ko, W.I. (Korea Atomic Energy Research Institute)
Youn, S.R. (University of Science and Technology)
Gao, R.X. (University of Science and Technology)
Publication Information
Nuclear Engineering and Technology / v.46, no.1, 2014 , pp. 81-92 More about this Journal
Abstract
This study suggests 5 evaluation criteria (safety and technology, environmental impact, economic feasibility, social factors, and institutional factors) and 24 evaluation indicators for a NFC (nuclear fuel cycle) derived using factor analysis. To do so, a survey using 1 on 1 interview was given to nuclear energy experts and local residents who live near nuclear power plants. In addition, by conducting a factor analysis, homogeneous evaluation indicators were grouped with the same evaluation criteria, and unnecessary evaluation criteria and evaluation indicators were dropped out. As a result of analyzing the weight of evaluation criteria with the sample of nuclear power experts and the general public, both sides recognized safety as the most important evaluation criterion, and the social factors such as public acceptance appeared to be ranked as more important evaluation criteria by the nuclear energy experts than the general public.
Keywords
Nuclear Fuel Cycle; Evaluation Criteria; Evaluation Indicator; Factor Analysis; Screening Factor; Factor Score; Descriptive Statistics; Nuclear Safety;
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