Optimal site selection for modular nuclear power plants

Devanand, Aravind; Kraft, Markus; Karimi, Iftekhar A.

doi:10.1016/j.compchemeng.2019.03.024

Cited by 34 publications

(16 citation statements)

References 26 publications

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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

“…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. Although the reasons for expanding nuclear energy in a carbon-constrained future are strong, there are still some shackles in some countries because of a series of problems like policy changes, cost overruns, and long period of construction [3]. Therefore, it is urgent to develop a scientific and reasonable nuclear power plant (NPP) site selection plan, so as to improve the operation safety of NPPs and reduce the construction cost.…”

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: Introductionmentioning

confidence: 99%

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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“…As a result, SMRs are suitable to be introduced into the economically less developed areas. Moreover, SMR locations have relatively low requirements for transportation, because SMRs are factory fabrication and there is no need to convey the heavy materials during the construction period (Devanand et al, 2019).…”

Section: Suggestions On Smr Site Selectionmentioning

confidence: 99%

“…Thus, when siting SMRs, the radiological related impacts on terrestrial ecosystem, aquatic ecosystem and human health, and non-radiological impacts on the surrounding environments should be emphasized as well. In addition, the land use of a power plant is related to its type and capacity (Devanand et al, 2019). According to Devanand et al (2019), a single unit of SMR with 100 MWe and 225 MWe capacity require about 21000 and 61000 m 2 , respectively.…”

Section: Suggestions On Smr Site Selectionmentioning

confidence: 99%

“…Compared with NPPs, small modular reactors (SMRs) are considered safer, more cost effective, and more flexible, requireing smaller capital input and having shorter construction periods (Vujić et al, 2012). Specifically, SMRs (1) have smaller generation capacities that can better fit for smaller electricity grids and facilitate gradual connection to the grids (Locatelli and Mancini, 2012;Black et al, 2015); (2) require lower upfront capital costs, which can reduce financial risks and would be attractive to private investors even without government intervention (Spencer and Loris, 2011); (3) are factory fabrication which makes the transportation and assembly much easier and can shorten the on-site construction periods (Devanand et al, 2019); (4) have enhanced safety features that make the safe nuclear power technology even safer (Vujić et al, 2012;Buchholz et al, 2015;Butt et al, 2016). There are a number of benefits by developing SMRs.…”

Section: Introductionmentioning

confidence: 99%

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Perspective on Site Selection of Small Modular Reactors

Zhang¹,

Guo²,

Liu³

et al. 2020

J ENVIRON INFORM LET

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As an emerging means of energy supply, small modular reactors (SMRs) are considered as a promising option for relieving environmental pressure caused by increasing fossil fuel consumption. Since SMRs are at an early stage of development, in-depth analysis on the necessity and feasibility of their deployment is essential. The site selection of SMRs, which is a multifaceted process and should be guided by a clearly established set of criteria, is a crucial step. To propose comprehensive recommendations for SMR site selection, a review is provided in this study. The review involves development process, technical characteristics and potential applications of SMRs, research status of SMR site selection, and criteria for site selection of nuclear power plants (NPPs). Different considerations of siting criteria between SMRs and NPPs are analyzed. Based on the review and analyses, perspectives and targeted suggestions on SMR site selection are provided.

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