Network analysis was used to model the complexity of the United Arab Emirates nuclear power plant operational readiness program. This study aimed to demystify the complexity of nuclear operational project processes and stakeholders of the UAE nuclear sector.
Research Agenda
Research aim and objectives
Model the complexity (interactions and information flow structure) of the nuclear operational project processes and stakeholders of the UAE nuclear sector;. What are the interdependencies between the five main components of the United Arab Emirates Nuclear Power Plant Operational Readiness Program (Full Grid Level).
Novelty and theoretical significance
Original tests of network analysis (derived from graph and complexity theory) in the domain of nuclear power plant operational readiness programs. Demonstrates the utility of network analysis for demystifying complexity and managing information in the operational readiness of nuclear power plants.
Outline of the thesis
Chapter three: this chapter focuses on the definition of the key components of UAE Nuclear. In addition, this chapter summarizes and illustrates key theories and concepts from the literature as the theoretical framework used to explain connections between these ideas and how they relate to the research study.
Chapter 2: Review of Commissioning and Nuclear Power Plant Operational Readiness Literature Operational Readiness Literature
Introduction
All relevant IAEA publications related to the commissioning of nuclear power plants were included in this research. In addition, this research uses a literature review as a basis and interpretation of new insights into the complexity of nuclear plant operational readiness.
UAE energy sector and the need for nuclear power generation
Commissioning and start-up of a new nuclear power plant share characteristics of complex adaptive systems (CAS). Phase transition phenomena, feedback loops, scale-free networks and emergent behavior are typical characteristics of any nuclear power plant's operational contingency program.
Commissioning process and the organizational theory
The same description of the postmodern organizational theory applies to the nuclear power plant's operational readiness. It is much more complex. The deployment of effective information management is a critical mediator for the success of the nuclear power plant's operational readiness.
Review of systems thinking, complexity and network analysis literature
The inconsistent use of systems thinking terms with other terms is also evident in the pioneering work in the field. This notion is deeply rooted in the existing academic literature related to systems thinking and complexity science.
Chapter summary
Although complexity is well recognized in the academic literature as a key feature of the commissioning phase of any new nuclear power plant project, there is a limited amount of rigorous academic research addressing how to fully understand and effectively manage this complexity. Published articles dealing with the issue of understanding and managing the complexity of nuclear power plant operational readiness programs are extremely rare, almost non-existent. Therefore, addressing the complexity of the interfaces and interactions between programs, processes, procedures, systems and stakeholders of nuclear plant readiness programs is considered a knowledge gap in the literature (IAEA 2018, Rosenergoat 2017, ONR 2016). , Doty 2007, ŠTUK 2003).
Using a structured and systematic approach to investigate the nature of this complexity is also considered a methodological gap (Daniel and Daniel 2019, IAEA 2016, IAEA 2012, USDOE 2010, Sireli and Mengers 2009).
Conceptual Model
- Introduction
- Theoretical framework
- Nuclear power plant operational readiness program components and interactions mapping interactions mapping
- Chapter summary
The first is the concept of complexity of interactions and information flow in nuclear power plant operational contingency programs. Putting into operation effective information management is a crucial prerequisite for the success of the nuclear power plant's operational readiness. This research investigated the complexity of interaction between processes, programs, procedures, plant systems and stakeholders in the UAE Nuclear power plant operational Readiness program.
This mapping explained how each main process in the Nuclear Power Plant Operational Readiness is directly or indirectly linked to and/or interacts with other Level 0 Processes (PSD). In this chapter, the researcher explained the complexity of interactions and information flow in the nuclear power plant operational readiness programs. Finally, this chapter discussed components of the Nuclear Power Plant's operational readiness program and explained the detailed interaction mapping that this study covered.
Research Methodology
Introduction
This chapter has highlighted a gap in the existing literature regarding an ontological view of what the complexity of NPP operational readiness looks like, as well as a methodological view of how complexity can be demystified and understood. In addition, this chapter explained the concept of network analysis as a method for evaluating and understanding complexity and dynamic interactions, and established a theoretical basis for the use of network analysis in nuclear power plant operational readiness programs to examine the nature of interactions, impacts, and interdependencies among different actors in meeting requirements operating licenses. In addition, this chapter explains the research process, data collection and data analysis methods in detail.
Research method process
Apply the appropriate research Philosophy and Approach
Define research Scope and Objectives
- Research paradigms
- Research approach
- Research methods
- The rationale for the research design
- Data collection methods
- Data analysis
- Confidentiality and accessibility
- Data validity and reliability
- Chapter summary
What are the interdependencies and the nature of influence between individual actors within detailed interactions between the components of the nuclear power plant operational contingency program in the UAE. Network analysis was identified as the most suitable analysis method to model the complexity of interaction between processes, programs, stakeholders (people) and systems in the nuclear power plant's operational preparedness program. The local centrality identified the elements that can reach other factors in the most effective way among other elements of the nuclear power plant's operational readiness.
In other words, this measure identified the most manageable or shortest paths among other elements of the nuclear power plant's operational readiness program. The table below describes a general network parameter and its importance in the context of a nuclear power plant's operational readiness program. Therefore, support timely decision-making regarding any of the processes, programs or systems involved in the operational readiness of a nuclear power plant.
Results
Introduction
It provides an overview of the 13 network diagrams in relation to network general characteristics, network density, network clustering coefficient and modularity analysis, network centrality measures and ego networks. This chapter also provides a preliminary interpretation of the main observations that emerged from the network analysis. The best position to do is to make things visible when you apply an algorithm to the network.
In addition, they can be edited better than Citespace on a generated network (Wajahat et al., 2020, Yang et al., 2017). Interactions between level 0 processes and regulatory requirements within the operational readiness program of the nuclear power plant. Program for operational readiness of nuclear power plants.
Interactions between level 0 processes and regulatory requirements within the nuclear power plant operational readiness program nuclear power plant operational readiness program
FANR-REG-16, Operational safety, including commissioning Req.20 128 FANR REG-01, Regulation for Management Systems for Nuclear Facilities Req.21 129 Internal audit guidance and standards issued by Abu Dhabi Accountability. FANR-REG-08, Physical Protection of Nuclear Materials and Nuclear Facilities Requirements.24 132 Abu Dhabi Environmental, Health and Safety Management System (AD EHSMS). FANR-REG-04, Regulation of radiation dose limits and optimization of radiation protection for nuclear facilities.
FANR-REG-04, Regulation on radiation dose limits and optimization of radiation protection for nuclear facilities. FANR-REG-01, Nuclear Facilities Management Systems Regulation Req.119 227 FANR-REG-16, Operational Safety, Including Commissioning, Article (28) Req.120 228 ANSI/ASME NQA-1, Quality Assurance Requirements for Nuclear facilities. FANR-REG-01, Nuclear Facilities Management Systems Regulation, Article 22 Req.122 230 IAEA GS-G-3.1, Application of Management Systems to Facilities and Activities.
Interactions between level 0 processes and strategic programs within the nuclear power plant operational readiness program nuclear power plant operational readiness program
Interactions between level 0 processes and strategic programs within the nuclear power plant operational readiness program nuclear power plant operational readiness program. A value close to 0 would indicate the existence of weak interaction between T0 processes and strategic programs. Calculation of clustering coefficient is based on the measurement of the number of closed triangles (triplets) relative to the potential number of triangles (triplets) available between interactions between LO processes and strategic programs.
To some extent, this structural layout provides error-tolerant behavior and promotes resilience in the interaction between L0 processes and strategic agendas. Figure (5.7) shows the results of the betweenness centrality and closeness analysis in interactions between L0 processes and strategic programs. The main focus of this work is to understand the interaction between L0 processes and strategic agendas.
Interactions amongst level 1 processes in the nuclear power plant operational readiness program readiness program
The maximum number of links required to pass the interaction between L1 processes is 4 as indicated by the Network Diameter. Thus, we can conclude that the interaction between L1 processes within the Operational Readiness of the Nuclear Power Plant is efficient from the point of view of communication and information exchange since the maximum path length is smaller than the network diameter. A density close to 1 indicates that all L1 processes are tightly coupled together within the Nuclear Power Plant Operational Readiness Program.
These network statistics will assist in grouping L1 processes based on the strength of their relationships into distinct communities within the overall nuclear power plant operational readiness program. Centrality statistics are essential measures of the information flow and efficiency of interaction between L1 processes. As shown in figure (5.12), the interaction between Plant Chemistry monitoring and control process with other V1 processes appears to be ineffective and form a low level of interactions as indicated by the network statistical measures below.
Interactions between level 0 processes and stakeholders in the nuclear power plant operational readiness program plant operational readiness program
Interactions between level 0 processes and stakeholders in the nuclear power plant operational readiness program. In this network, density measures the linkage between L0 processes and nuclear plant operational readiness stakeholders. A value close to 0 indicates the existence of a weak interaction between L0 processes and stakeholders in the operational readiness of the nuclear power plant.
The characteristics of clustering and modularity of interactions between L0 processes and stakeholders for the operational readiness of a nuclear power plant are strongly related to the resilience of the network to failure. The main focus of this work is to understand the interaction between L0 processes and stakeholders in a nuclear power plant operational readiness program. Interactions between level 1 processes and stakeholders in a nuclear plant operational readiness program operational readiness program.
Interactions between level 1 processes and stakeholders in the nuclear power plant operational readiness program plant operational readiness program
A density close to 1 indicates that L1 processes are strongly connected to stakeholders within the nuclear power plant operational readiness program. While a density of 0.5 indicates the presence of medium interaction between L1 processes and stakeholders in the operational readiness of nuclear power plants. The calculation of the clustering coefficient is based on measuring the number of closed triangles (triplets) relative to the potential number of triangles (triplets) available in the interactions of L1 processes and stakeholders of the operational readiness of nuclear power plants.
Some key features in the interactions between L1 processes and NPP Operational Readiness Stakeholders can be better understood through Network Centrality Measures. In the same line, Centrality is an essential measure of the information flow between L1 processes and Stakeholders in the operational readiness of nuclear power plants when analyzed with other network statistics. The main focus of this work is to understand the interaction between T1 processes and Stakeholders in the Nuclear Power Plant's operational readiness program.
Interactions between level 0 processes and nuclear power plant systems
