Abstract

Under the double pressure of global energy consumption and climate change, nuclear power has become a low-carbon alternative energy source that could transform the energy structure of the globe. In the nuclear power industry, selecting suitable suppliers plays a significant role in improving the overall performance of nuclear power projects. Along with this symmetrical impact, this paper aims to develop a multistage decision-support framework to determine the optimal nuclear power equipment supplier, which is constructed in the context of Z-number information. Concretely, the Analytic Network Process (ANP) and Tomada de Decisão Iterativa Multicritério (TODIM) are extended by Z-numbers symmetrically—namely, Z-ANP and Z-TODIM. Z-ANP is first applied to analyze the symmetrical interdependence of criteria, so as to accurately determine the criterion weights. Further, the ranking of alternatives is obtained by Z-TODIM, which sufficiently considers the risk preference and psychological states of decision-makers. Finally, a practical case of nuclear-grade cable procurement in the Karachi 2-3 international nuclear power project is performed to illustrate the practicality of the proposed method, and its robustness and superiority are proven by comparing it with current representative approaches.

Highlights

  • Faced with increasing environmental pollution and global warming, nuclear power is still one of the main options for most countries to cope with global energy shortages and climate change [1].According to the International Atomic Energy Agency (IAEA) statistics, as of July 2020 there are 441 nuclear reactors in operation worldwide, with a capacity of 390,113 MWe

  • The sensitivity analysis reveals that our integrated ZANP-Tomada de Decisão Iterativa Multicritério (TODIM) method can provide reliable results for the selection of nuclear power equipment suppliers

  • The symmetrical interdependence among the criteria is not taken into account in Analytic Hierarchy Process (AHP) and best-worst method (BWM), and only about half of the evaluation information is effectively used in the BWM method, which results in variations in the criterion weights

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Summary

Introduction

According to the International Atomic Energy Agency (IAEA) statistics, as of July 2020 there are 441 nuclear reactors in operation worldwide, with a capacity of 390,113 MWe. Over the past five years, the total amount of electricity supplied from the world’s reactors has increased by more than. With the flourishing development of Nuclear Power Plants (NPPs) worldwide, nuclear energy technology exports and international cooperation in nuclear power projects have become more frequent. The success of the Hualong One nuclear power technology marks a firm step in the localization of nuclear power equipment and technology, which has effectively promoted the overall improvement of China’s nuclear power industry capability. China’s nuclear power industry has been expanding, prompting massive exports of technologies and equipment [3]. Along with the increase in Symmetry 2020, 12, 1357; doi:10.3390/sym12081357 www.mdpi.com/journal/symmetry

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