A study for an appropriate risk management of new technology deployment in Nuclear Power Plants

2017 ◽  
Vol 99 ◽  
pp. 157-164 ◽  
Author(s):  
Kil-Young Jung ◽  
Myung-Sub Roh
Keyword(s):  
Risk Management ◽  
Nuclear Power ◽  
Power Plants ◽  
Nuclear Power Plants ◽  
New Technology ◽  
Technology Deployment

Review of the Configuration Risk Management Methodologies

2021 ◽  
Author(s):  
Yuhang Zhang ◽  
Zhijian Zhang ◽  
He Wang ◽  
Lixuan Zhang ◽  
Dabin Sun
Keyword(s):  
Risk Management ◽  
Real Time ◽  
Nuclear Power ◽  
Safety Assessment ◽  
Power Plants ◽  
Nuclear Power Plants ◽  
Probabilistic Safety Assessment ◽  
Technical Specifications ◽  
Risk Monitor ◽  
Probabilistic Safety

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.

Contribution to Assessments of Impacts on the Critical Infrastructure

2014 ◽  
Vol 656 ◽  
pp. 578-587
Author(s):  
David Valis
Keyword(s):  
Risk Management ◽  
Fuzzy Logic ◽  
Nuclear Power ◽  
Power Plants ◽  
Nuclear Power Plants ◽  
Critical Infrastructure ◽  
Potential Threat

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.

New technology for purging the steam generators of nuclear power plants

2011 ◽  
Vol 45 (2) ◽  
pp. 120-124 ◽  
Author(s):  
I. O. Budko ◽  
Yu. F. Kutdjusov ◽  
V. I. Gorburov ◽  
S. I. Rjasnyj
Keyword(s):  
Nuclear Power ◽  
Power Plants ◽  
Nuclear Power Plants ◽  
New Technology ◽  
Steam Generators

Outline of the JSME (Japan Society of Mechanical Engineers) Rules on Design and Construction for Nuclear Power Plants

2004 ◽  
Author(s):  
Itaru Saito ◽  
Takashi Shimakawa
Keyword(s):  
Pressure Vessel ◽  
Basic Concept ◽  
Regulatory Authority ◽  
Nuclear Power ◽  
Power Plants ◽  
Nuclear Power Plants ◽  
New Technology ◽  
Japan Society ◽  
Regulatory Standards ◽  
Design And Construction

The JSME (Japan Society of Mechanical Engineers) published the rules on design and construction for nuclear power plants in 2001. The basic concept of this rule originates in the ASME Boiler & Pressure Vessel Code Section III, however, some articles in the JSME rules are modified from the ASME rules depending on the Japanese own investigations and thoughts. This paper presents the outline of the JSME rules and discussed the comparison between the JSME rules and the ASME rules. In Japan, rules for the design and construction for nuclear power plants had been used in the Japanese regulatory standards known as Notification 501 of MITI (Ministry of international Trade and Industry) for over 30 years. And the JSME code is also based on the Notification 501. Recently the Japanese regulatory authority had announced new policy to adapt non-government voluntary rules for the design and construction taking advantage of reflecting new technology and the code revision quickly. And, in November 2003, the new JSME rules are endorsed by the Japanese regulatory authorities as alternate rules of the Notification 501.

Contribution to Diffusion Processes Application in the Area of Critical Infrastructure Security Assessment

2013 ◽  
Vol 436 ◽  
pp. 539-548 ◽  
Author(s):  
David Valis ◽  
Katarzyna Pietrucha-Urbanik
Keyword(s):  
Risk Management ◽  
Nuclear Power ◽  
Power Plants ◽  
Nuclear Power Plants ◽  
Diffusion Processes ◽  
Critical Infrastructure ◽  
Security Assessment ◽  
Potential Threat

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 attacking on the object in order to get into a particular part of it. Several characteristics of an adversary ́s attempt were obtained. For this reason as well as for modelling adversary ́s behaviour diffusion processes have been used.

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

2021 ◽  
pp. 59-69
Author(s):  
Petr Graboviy ◽  
Vitaly Berezka
Keyword(s):  
Risk Factors ◽  
Risk Management ◽  
Construction Projects ◽  
Nuclear Power ◽  
Power Plants ◽  
Nuclear Power Plants ◽  
International Market ◽  
Main Element ◽  
Factor Space ◽  
Risk Modeling

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.

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