Expansion of nuclear power technology to new countries – SMRs, safety culture issues, and the need for an improved international safety regime

Budnitz, Robert J.; Rogner, Holger; Shihab‐Eldin, Adnan

doi:10.1016/j.enpol.2018.04.051

Cited by 51 publications

(29 citation statements)

References 8 publications

(5 reference statements)

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“…DM 1 (AI, L) (EI, SL) (GI, L) (EI, SL) (AI, L) (VI, L) DM 2 (AI, L) (EI, L) (VI, U) (EI, L) (AI, L) (VI, N) DM 3 (VI, SL) (WI, L) (EI, SL) (EI, SL) (VI, L) (VI, SL) DM 4 (EI, L) (WI, N) (GI, L) (GI, L) (GI, U) (EI, L)…”

Section: Best-to-others Vectorsunclassified

“…The sensitivity analysis is conducted in three scenarios with a total of 13 experiments. (1) In Scenario 1, 16 criteria in Group A have equal weights; (2) in Scenario 2, the weights of three dimensions in Group B increase or decrease by 20%, respectively; (3) in Scenario 3, the weights of three dimensions in Group C increase or decrease by 40%, respectively. Moreover, when a sensitivity experiment is performed on a certain dimension, the weights of the other criteria will capture the corresponding proportional changes to ensure the sum of weight to be 1.…”

Section: Sensitivity Analysismentioning

confidence: 99%

“…Nuclear energy is generated by the splitting of atoms inside uranium, as a relatively clean non-fossil energy, it produces more electricity or heat per unit than fossil fuels, with less of environmental impact [2]. Some countries, such as France and Slovak Republic, have been meeting over 50% of the energy demand with nuclear energy, and many others like India and Korea are on their way.…”

Section: Introductionmentioning

confidence: 99%

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A Multi-Criteria Decision Support Framework for Inland Nuclear Power Plant Site Selection under Z-Information: A Case Study in Hunan Province of China

Peng

Wang

et al. 2020

Mathematics

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To promote the development of nuclear power project in inland China, a specialized multi-criteria decision support framework is constructed for the site selection of inland nuclear power plants in this work. The best worst method (BWM), decision-making trial and evaluation laboratory (DEMATEL), and technique for order performance by similarity to ideal solution (TOPSIS) are integrated with Z-numbers, namely Z-BWM, Z-DEMATEL, and Z-TOPSIS. Z-BWM and Z-DEMATEL are combined to produce the weights of criteria, and an extended Z-TOPSIS is utilized to determine the ranking of all alternatives. Finally, a case study is performed in Hunan province to demonstrate the practicability of the proposed decision support framework. The robustness and feasibility of the proposed method are shown by an in-depth analysis of the decision results.that are not prone to tsunamis or typhoons. China has a total of 48 nuclear power units in operation, but they are all in coastal areas. The specific research on the site selection of China's inland NPPs is still insufficient. In this work, a multi-criteria decision support framework is provided to identify the best site for inland NPPs in China, and the contributions are summarized as follows:(1) The existing researches on multi-criteria decision-making (MCDM) problems inevitably involve the uncertainly and unreliability of human preferences. Therefore, Z-number is introduced into the proposed MCDM framework in this work, and all evaluation information is given using Z-number linguistic variables.(2) Best worst method (BWM) and decision-making trial and evaluation laboratory (DEMATEL) are extended to Z-numbers, i.e., Z-BWM and Z-DEMATEL. The hybrid model not only considers the impact of the criterion relations on the criterion weights, but also provides a long-term improvement for inland NPP site selection.(3) The technique for order performance by similarity to ideal solution (TOPSIS) is combined with Z-numbers, namely Z-TOPSIS. It can effectively reduce the influence of outliers, and provide more reliable ranking results than the classic TOPSIS.(4) Currently, few researches focus on the site selection of China's inland NPPs. Based on the reactor siting criteria developed by IAEA, a specialized evaluation system considering the eco-environment, geographic features, and socio-economic factors in China's interior is constructed.The structure of the paper is organized as follows. Section 2 reviews some studies related to NPP site selection. Section 3 introduces some basic concepts of Z-numbers. Section 4 presents the proposed framework for inland NPP site selection. Section 5 provides a case study in Hunan province of China. Section 6 conducts an in-depth analysis concerning selection results. Finally, Section 7 draws conclusions.

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Section: Best-to-others Vectorsunclassified

Section: Sensitivity Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Multi-Criteria Decision Support Framework for Inland Nuclear Power Plant Site Selection under Z-Information: A Case Study in Hunan Province of China

Peng

Wang

et al. 2020

Mathematics

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“…The perception of risks regarding nuclear energy among the public were studied by Budnitz, et al, (2018) The mixed feelings towards nuclear power which by some opponents is declared a potential public menace and needs to be taken more serious by decision makers in order to accomplish more tolerance towards this technology. Among other reasons, negative reactions towards nuclear energy derive of the lack of technological understanding of the procedure of using nuclear reactions to release nuclear energy.…”

Section: Nuclear Power Energy and Public Concernsmentioning

confidence: 99%

Development: Crossing the Bridge Pondering Socio-Economic and Techno-Science

2019

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Applied science, society needs and economy development are three main pillars of the technology progress nowadays. As they are quite independent of each other they have their own path for advancing. Nevertheless, science, society and economy should bring the world in the Future together. It is stated that there is a strong need for pondering these advancing sciences, because they affect one another and so they may increase their effectiveness. Several techno-science empirical observations seem to support the hypothesis that interaction and reciprocal influence is necessary with social and economic sciences.

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“…Several authors investigated its potential to mitigate CO2 emissions (Barron and Hill, 2019;Sornette et al, 2019) including in the United Arab Emirates (AlFarra and Abu-Hijleh, 2012). For example, applying Life Cycle Assessment (LCA) (Turconi et al, 2013) to a variety of scenarios for future power generation in the UAE, Treyer and Bauer (2016) reports that nuclear power shows positive environmental effects in most impact categories; though many technical, economic and social hurdles remain to be cleared for nuclear power to effectively contribute to the national electricity supply (Budnitz et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

The Impact of Youth's Biospheric Interests on their Awareness and Expectations about Nuclear Power Technology in the United Arab Emirates

Niankara¹

2019

Preprint

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Relying on the United Arab Emirates (UAE) extract from the cross-national data sample on the environmental affection and cognition of adolescent students, and seemingly unrelated bivariate weighted ordered probit regression modeling, this study adopts a national perspective to investigate the determinants of adolescent students' awareness and expectations about nuclear power technology and nuclear waste in the UAE. Identification of model parameters is achieved through maximum simulated likelihood estimation. The findings show that each level increase in UAE youth's interest in ecosystem services and sustainability raises their awareness of nuclear electrical power and nuclear waste by 13.5%, while reducing by 2.4% their level of optimism towards the technology. Furthermore, we find significant heterogeneity in youth awareness and expectations about nuclear power technology across the seven Emirates. Accounting for all other factors (including interest in ecosystem services), UAE youth awareness about nuclear electrical power technology appears to not significantly influence their expectations about the evolution of this technology for the next 20 years. Given that the UAE first nuclear power plant ``Barakah'' is scheduled to start operations end of 2019 beginning 2020, and the typical long life-span of nuclear wastes, our results provide important insights for developing sustainable nuclear energy policies and establishing a long-term nuclear energy program in the UAE.

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Expansion of nuclear power technology to new countries – SMRs, safety culture issues, and the need for an improved international safety regime

Cited by 51 publications

References 8 publications

A Multi-Criteria Decision Support Framework for Inland Nuclear Power Plant Site Selection under Z-Information: A Case Study in Hunan Province of China

A Multi-Criteria Decision Support Framework for Inland Nuclear Power Plant Site Selection under Z-Information: A Case Study in Hunan Province of China

Development: Crossing the Bridge Pondering Socio-Economic and Techno-Science

The Impact of Youth's Biospheric Interests on their Awareness and Expectations about Nuclear Power Technology in the United Arab Emirates

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