FACTORS INFLUENCING RESIDENTIAL LOCATION PATTERNS OF WORKERS AT NUCLEAR POWER PLANT CONSTRUCTION PROJECTS

1984 ◽  
Vol 3 (1) ◽  
pp. 20-30
Author(s):  
Suresh Malhotra ◽  
Diane Manninen
Keyword(s):  
Power Plant ◽  
Nuclear Power Plant ◽  
Construction Projects ◽  
Nuclear Power ◽  
Residential Location ◽  
Plant Construction ◽  
Factors Influencing ◽  
Location Patterns

The IMS Development Plan in Construction Phase for Nuclear Power Plants

2010 ◽  
Author(s):  
Kyung Hwa Chung ◽  
Jae Hee Han
Keyword(s):  
Information Technology ◽  
Power Plant ◽  
Nuclear Power Plant ◽  
Construction Projects ◽  
Nuclear Power ◽  
Power Plants ◽  
Information Management System ◽  
Lessons Learned ◽  
3D Cad ◽  
Plant Construction

The implementation of advanced information technology for nuclear power plant construction industry in the Republic of Korea is a challenging task to improve the competitive edge for APR1400 across the global nuclear business market. This paper will briefly describe the phases of development of an information management system (hereinafter IMS) in nuclear power construction during the last 40 years in Korea. Additional development task which strengthen the IMS capability will be described from our experience. It will analyze the IMS development and implementation stages for Korean nuclear power plant construction projects such as YGN 3&4, UCN 3&4, YGN 5&6 and UCN 5&6, and the successful application case of the UCN 5&6 Radwaste Building in which 3D CAD technology was implemented for the first time. By reviewing lessons learned, this paper will define the Information Technology advancements resulting the reduction of project costs and construction schedule both by project execution procedures and IT systems including 3D CAD application. The future plan will include integrating project management systems based on data-centric approach and handover strategy for better O&M phase through configuration management technology. In this report, we address the functions to be developed and added in the new IMS.

Regulations Concerning Equipment Quality Supervision and Surveillance for Nuclear Power Plant EPC Projects

2010 ◽  
Author(s):  
Liying Zhang
Keyword(s):  
Power Plant ◽  
Nuclear Power Plant ◽  
Construction Projects ◽  
Nuclear Power ◽  
Nuclear Safety ◽  
Quality Requirements ◽  
Plant Construction

Use of the engineering, procurement and construction (EPC) contracting arrangement is increasing in China recently, especially for those important construction projects. The nuclear power plant construction projects are as well. Because of the associated hazards, nuclear power plant construction projects require more strict safety and quality requirements as compared with more conventional construction projects. As essential means and safety shields, the equipment quality supervision and surveillance requirements and their implementation mode should be explored to meet the requirements of EPC projects. It is highly demanded to establish new rules to meet the quick development of nuclear power plant construction projects. The article discusses the current equipment quality supervision and surveillance mode first, and then discusses the needs to build rules especially the significance of introducing independent organizations to supervise equipment quality for those nuclear power plant construction projects for using EPC contracting arrangement despite the supervision and surveillance conducted by manufactures, EPC contractors, nuclear power plant owners and the National Nuclear Safety Administration.

Mathematical Modeling for Contingency Determination for Nuclear Power Plant Construction Projects

2014 ◽  
Author(s):  
Wei Zhao ◽  
Shenjun Xu
Keyword(s):  
Monte Carlo Simulation ◽  
Risk Management ◽  
Monte Carlo ◽  
Power Plant ◽  
Nuclear Power Plant ◽  
Construction Projects ◽  
Nuclear Power ◽  
Historical Data ◽  
Plant Construction ◽  
Lump Sum

This paper uses the China AP1000 project as an example to exhibit the application of quantitative risk management in nuclear power plant construction projects. For those lump sum contracts, one of the most significant purposes of quantitative risk management is to determine the contingency, i.e. the reserved money and time for projects. This paper studies the application of Monte Carlo simulation in determining the contingency, taking into account the distinctive features of nuclear power projects. Most nuclear power projects, especially advanced ones such as Generation III and above, meet one common obstacle in estimating key economic indicators — the absence of historical data due to its avant-garde design. As cost estimators of the coal power plant contractors may collect their data from thousands of previous cases, nuclear power plant contractors, especially in many developing countries, do not have a shared database of financial data. Some first-of-a-kind nuclear power plants have absolutely no historical data to look up. This paper aims to provide a resolution to this problem. First, the feasibility and representativeness of different probability distributions are compared based on their respective skewness and kurtosis to determine the best-suited distribution in nuclear power projects. This paper also analyzes the use of second-order Monte Carlo simulation in reducing the error caused by the biased estimation of inexperienced risk assessment engineers.

scholarly journals Structure of realised risks of projects for construction nuclear power plant by Rosatom State Corporation in 2010-2020

2021 ◽  
Vol 258 ◽  
pp. 09081
Author(s):  
Ivan Voronkov ◽  
Roman Ostrovskii
Keyword(s):  
Power Plant ◽  
Nuclear Power Plant ◽  
Capital Investment ◽  
Construction Projects ◽  
Nuclear Power ◽  
Power Plants ◽  
Positive Impact ◽  
Plant Construction ◽  
State Corporation ◽  
Late Detection

Rosatom State Corporation is one of the world leaders in the construction of nuclear power plant (NPP), keeping a ten-year portfolio of foreign orders at the level of 140 billion $. Taking into account the long period of construction nuclear power plant, significant amount of capital investment, significant number of participants investment-construction project, critically important for constructer organizer to identify and consider possible risks of project implementation in time, developing and improving its management mechanisms. As a part of research risk analysis and systematization was performed, realized in the construction of nuclear power plants by domestic specialist in 2008-2020 (Novovoronezh NPP-2, Rostov NPP, Kursk NPP-2, Belarussian NPP, NPP Kudankulm, NPP El-Dabaa, NPP Akkuyu, NPP Rooppur, NPP Paksh-2). Based on the analysis formed 8 risk families, determined shares of these groups in general registry. The revealed structure of realized risks demonstrates, that the largest share in general registry is made up of technical and organizational risks, which are systematically given insufficient attention by researches and construction organizers. Conducted research also allows us to draw a conclusion about the most common risk concerning late detection of complex conditions of the object placement site, which was implemented in five projects out of nine considered. The results of the accomplished research can be used in the development of modern nuclear power plant construction projects in Russia and abroad, which will have a positive impact on the competitiveness of domestic projects in the global nuclear power plant market and increase their profitability. The experience of nuclear power in terms of risk management can become a driver for full-scale improvement of organizational and technological approaches in the construction of unique buildings and structures in the future.

scholarly journals Nuclear Power Plant Construction Scheduling Problem with Time Restrictions: A Particle Swarm Optimization Approach

2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
Shang-Kuan Chen ◽  
Yen-Wu Ti ◽  
Kuo-Yu Tsai
Keyword(s):  
Particle Swarm Optimization ◽  
Power Plant ◽  
Nuclear Power Plant ◽  
Nuclear Power ◽  
Particle Swarm ◽  
Scheduling Problem ◽  
Swarm Optimization ◽  
Construction Scheduling ◽  
Plant Construction ◽  
Reactor Installation

In nuclear power plant construction scheduling, a project is generally defined by its dependent preparation time, the time required for construction, and its reactor installation time. The issues of multiple construction teams and multiple reactor installation teams are considered. In this paper, a hierarchical particle swarm optimization algorithm is proposed to solve the nuclear power plant construction scheduling problem and minimize the occurrence of projects failing to achieve deliverables within applicable due times and deadlines.

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