scholarly journals Risk modeling at the pre-investment phase of nuclear powerplant construction on the international market

Author(s):  
Petr Graboviy ◽  
Vitaly Berezka

Involvement in the construction of nuclear power plants worldwide is a promising direction for developing the re-search and technological potential of engineering and general contracting companies in Russia. Nevertheless, Russian companies, involved in the construction of nuclear power plants (NPPs) abroad, need to adapt to foreign jurisdictions, their requirements and rules applied to the construction of hazardous industrial facilities, as well as unique social, economic and physical environments. In this regard, international activities, performed by Russian companies, are associated with uncertainty and risks that require the study and systematization of risk factors and development of risk management models. The statistical data, covering the recent ten-year period, illustrates the level of uncertainty and problems arising in this area. Over 60 % of nuclear reactors worldwide are built with a delay in construction. The consequences of such delays boost project costs. Major international corporations, implementing nuclear power plant construction projects abroad, consider the insufficient pre-project study of project organization and management issues at the stage of entering into an EPC (M) contract to be the risk factors arising in the pre-investment phase. Risk management modeling is considered as the main element of the system designated for managing the organizational and economic reliability of the pre-investment phase of NPP construction in the international market. It includes: (a) structuring a multiparametric risk factor space based on four sources, including, on the part of the customer, the EPC (M) contractor, the contract and the external environment; (b) a pre-investment risk management model, applicable to NPP construction abroad, to be based on the overall project risk P(rt1); (c) a mathematical model for selecting a project implementation option based on the multicriterial optimization of the future-oriented project plan-schedule.

2021 ◽  
Author(s):  
Yuhang Zhang ◽  
Zhijian Zhang ◽  
He Wang ◽  
Lixuan Zhang ◽  
Dabin Sun

Abstract To ensure nuclear safety and prevent or mitigate the consequences of accidents, many safety systems have been set up in nuclear power plants to limit the consequences of accidents. Even though technical specifications based on deterministic safety analysis are applied to avoid serious accidents, they are too poor to handle multi-device managements compared with configuration risk management which computes risks in nuclear power plants based on probabilistic safety assessment according to on-going configurations. In general, there are two methodologies employed in configuration risk management: living probabilistic safety assessment (LPSA) and risk monitor (RM). And average reliability databases during a time of interest are employed in living probabilistic safety assessment, which may be naturally applied to make long-term or regular management projects. While transient risk databases are involved in risk monitor to measure transient risks in nuclear power plants, which may be more appropriate to monitor the real-time risks in nuclear power plants and provide scientific real-time suggestions to operators compared with living probabilistic safety assessment. And this paper concentrates on the applications and developments of living probabilistic safety assessment and risk monitor which are the mainly foundation of the configuration risk management to manage nuclear power plants within safe threshold and avoid serious accidents.


Author(s):  
T Sakurahara ◽  
S Reihani ◽  
Z Mohaghegh ◽  
M Brandyberry ◽  
E Kee ◽  
...  

2014 ◽  
Vol 656 ◽  
pp. 578-587
Author(s):  
David Valis

Assessing the vulnerability of critical infrastructure objects is of major concern when dealing with the process of dependability and risk management. Special attention is paid to the objects of higher interest, such as nuclear power plants. In spite of the protection of these objects, there is still a certain level of a potential threat. The aim of the paper is to describe a possible way of assessments of the consequences when attacking on an object of critical infrastructure. Several characteristics of the impacts outcomes were obtained. For this reason, as well as for modelling of adversary ́s behaviour impact, fuzzy logic tools have been used.


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