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In the current environment where COVID-19 is serious, the space, place and resources required for teaching nuclear power plants are restricted to a great extent. To solve such problems and improve the utilization of education resources, this study improved an accident simulator for nuclear power plants based on the concept of cloud technology. We build the Browser / Server architecture so that the platform has successfully implemented multiterminal, multiplatform and multiuser simultaneous applications. Through the simulation results of the Small Break Loss of Coolant Accident (SBLOCA) and the test results of platform performance by PCTran-Cloud, the correctness of PCTran-Cloud in the accident simulation function and results were verified. In general, PCTran-Cloud has the characteristics of high scalability, high concurrency and high security. The platform can provide an environment for the training and education of nuclear power professionals. © 2022 IEEE.
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Introduction: To meet the multi-user, cross-time-and-space, cross-platform online demand of work, and professional training teaching in nuclear reactor safety analysis under the normalization of Coronavirus Disease 2019. Method: Taking the nuclear accident simulation software PCTRAN as an example, this study adopts cloud computing technology to build the NasCloud, a nuclear accident simulation cloud platform based on Browser/Server architecture, and successfully realizes multi-user, cross-time-and-space, cross-platform applications. Targeting the AP1000, a pressurized water reactor nuclear power plant, the simulation of cold-leg Small Break Loss of Coolant Accident and cold-leg Large Break Loss of Coolant Accident were carried out to verify the correctness of the NasCloud's accident simulation function. Results: The result shows that the simulation functions and results of the NasCloud in multi-terminal are consistent with the single version of PCTRAN. At the same time, the platform has high scalability, concurrency and security characteristics. Discussion: Therefore, the nuclear accident simulation cloud platform built in this study can provide solutions for the work and training of nuclear reactor safety analysis, and provide reference for other engineering design and simulation software cloud to computing transformation. Copyright © 2023 Chen, Chen, Xie, Xiong and Yu.
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The development of nuclear energy, technology and applications programmes s creates a continuous need for a global workforce of highly qualified professionals with appropriate nuclear technical and managerial competence. The International Atomic Energy Agency (IAEA) provides the Nuclear Energy Management (NEM) School programme to help the Member States build and train future leaders in managing the national peaceful applications of nuclear science and technology. As the country with the fastest growth of nuclear energy in the world, China has a complete nuclear industrial chain, and the development of nuclear energy enjoys incomparable advantages. China cooperates with IAEA and holds the China-IAEA NEM School to share its experience and contribute its wisdom to the global nuclear energy development, and to personnel training of emerging nuclear energy countries. This paper reports a case study from the China-IAEA NEM School which investigates the joint cultivation and training mode for young professionals who show managerial potentiality and inherent ability for future leadership positions in the field of nuclear energy and technology in IAEA's Member States that plan to develop or are in the process of embarking upon a nuclear power programme. This study explores the school's training system which is reflected in different aspects, i.e. training format, curriculum, and lecturers. A questionnaire survey is also conducted to analyze trainees' evaluation of the school. The research findings are discussed in light of future developments and implications on young future leaders' cultivation and training in the nuclear field in post COVID era. Copyright © 2022 by ASME.
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The ongoing COVID-19 crisis renewed scholarly interest in organizational resilience. To ensure resilience, organizations must develop the ability to proactively prepare for ambiguous and unexpected situations (Morel et al., 2008). From this perspective, resilience may be considered as a mindful process leading to reliability (Linnenluecke, 2017) where mindfulness allows to collectively manage stability/vividness tension and extend individual limits of attention (Weick & Sutcliffe, 2006, 2007). A high level of environmental uncertainty increases the risk and may lead to violations of organizational limits (Farjoun & Starbuck, 2007). In addition to the exogenous environmental limits, organizations are affected by the endogenous limits of cognition and managerial control, and also by the non-cognitive factors such as habitus. However, many questions remain. Following a recent call for further research on organizing for resilience (Linnenluecke, 2017, p. 26), the aims of our paper is to explore how the organizational limits restraint the development of mindfulness (foresight and cognition) and how organizations deal with those limits to develop the resilience? We conducted a qualitative case study within a major European nuclear power plant. We wanted to better understand how in a highly controlled and regulated industry managers increase resilience by pushing of organizational limits. Our analysis shows that implemented practices constrained endogenous organizational limits instead of helping to extend them. Our paper highlights the role of mindfulness and attention in building resilience and tensions between managed and regulated safety. The obligation of result (e.g., reliable practice) is in tension with the obligation of means (e.g., procedure to follow). Moreover, our case study illustrates negative effect of organizational context on the extension of the organizational limits. In addition, we enrich the notion of endogenous limits by adding the non-cognitive dimension of habitus of the nuclear energy industry. We believe that a better understanding of organizational limits to develop resilience may offer managers the opportunity to better consider the role of organizational context and to adapt training programs. © ESREL 2021. Published by Research Publishing, Singapore.
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[...]we felt staying with an all in-person meeting had greater benefits than a hybrid model. MiNES2023 TechnicaL Chair (2025 GeneraL Chair) Anne Campbell, Oak Ridge NationaL Laboratory Anne CampbeLL is a research associate of graphite materiaLs for nucLear appLications in the MateriaLs Science and TechnoLogy Division at Oak Ridge NationaL Laboratory. MiNES 2023 Assistant TechnicaL Program Chair (2025 TechnicaL Chair, 2027 GeneraL Chair) Maria Okuniewski, Purdue University Maria Okuniewski is an assistant professor of materiaLs engineering, with a courtesy appointment in nucLear engineering, at Purdue University, where her research focuses on understanding the connections between the microstructure of nucLear materiaLs and fuels and their mechanicaL properties.
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The Energy and Water Development and Related Agencies appropriations bill provides funding for civil works projects of the U.S. Army Corps of Engineers (USACE);the Department of the Interiors Bureau of Reclamation (Reclamation) and Central Utah Project (CUP);the Department of Energy (DOE);the Nuclear Regulatory Commission (NRC);the Appalachian Regional Commission (ARC);and several other independent agencies. DOE typically accounts for about 80% of the bills funding.
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Purpose: In the process of building the “Belt and Road” and “Bright Road” community of interests between China and Kazakhstan, this paper proposes the construction of an inland nuclear power plant in Kazakhstan. Considering the uncertainty of investment in nuclear power generation, the authors propose the MGT (Monte-Carlo and Gaussian Radial Basis with Tensor factorization) utility evaluation model to evaluate the risk of investment in nuclear power in Kazakhstan and provide a relevant reference for decision making on inland nuclear investment in Kazakhstan. Design/methodology/approach: Based on real options portfolio combined with a weighted utility function, this study takes into account the uncertainties associated with nuclear power investments through a minimum variance Monte Carlo approach, proposes a noise-enhancing process combined with geometric Brownian motion in solving complex conditions, and incorporates a measure of investment flexibility and strategic value in the investment, and then uses a deep noise reduction encoder to learn the initial values for potential features of cost and investment effectiveness. A Gaussian radial basis function used to construct a weighted utility function for each uncertainty, generate a minimization of the objective function for the tensor decomposition, and then optimize the objective loss function for the tensor decomposition, find the corresponding weights, and perform noise reduction to generalize the nonlinear problem to evaluate the effectiveness of nuclear power investment. Finally, the two dimensions of cost and risk (estimation of investment value and measurement of investment risk) are applied and simulated through actual data in Kazakhstan. Findings: The authors assess the core indicators of Kazakhstan's nuclear power plants throughout their construction and operating cycles, based on data relating to a cluster of nuclear power plants of 10 different technologies. The authors compared it with several popular methods for evaluating the benefits of nuclear power generation and conducted subsequent sensitivity analyses of key indicators. Experimental results on the dataset show that the MGT method outperforms the other four methods and that changes in nuclear investment returns are more sensitive to changes in costs while operating cash flows from nuclear power are certainly an effective way to drive investment reform in inland nuclear power generation in Kazakhstan at current levels of investment costs. Research limitations/implications: Future research could consider exploring other excellent methods to improve the accuracy of the investment prediction further using sparseness and noise interference. Also consider collecting some expert advice and providing more appropriate specific suggestions, which will facilitate the application in practice. Practical implications: The Novel Coronavirus epidemic has plunged the global economy into a deep recession, the tension between China and the US has made the energy cooperation road unusually tortuous, Kazakhstan in Central Asia has natural geographical and resource advantages, so China–Kazakhstan energy cooperation as a new era of opportunity, providing a strong guarantee for China's political and economic stability. The basic idea of building large-scale nuclear power plants in Balkhash and Aktau is put forward, considering the development strategy of building Kazakhstan into a regional international energy base. This work will be a good inspiration for the investment of nuclear generation. Originality/value: This study solves the problem of increasing noise by combining Monte Carlo simulation with geometric Brownian motion under complex conditions, adds the measure of investment flexibility and strategic value, constructs the utility function of noise reduction weight based on Gaussian radial basis function and extends the nonlinear problem to the evaluation of nuclear power investment benefit. © 2022, Emerald Publishing Limited.
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As the main source of electricity from renewable energy, PV will play a key role in various fields and scenarios to achieve carbon neutrality. With technological advances in the photovoltaic industry and declining costs per kilowatt-hour, the cost of photovoltaic per kilowatt-hour has fallen by more than 90% globally in the past decade, with the biggest decline compared to wind, natural gas, coal and nuclear power. The year 2020 has been an extraordinary year. Under the pressure test and numerous challenges of the global epidemic, the global photovoltaic industry has maintained a good momentum of development thanks to the rapid and effective control of the COVID-19 in China and the obvious growth of the domestic market. Based on the domestic monocrystalline silicon photovoltaic leading A company as an example, through to the company business model and the results of data analysis in recent years, suggested that the company in the four aspects to carry on the improvement and optimization, including: further globalization, adhere to customer value orientation, implement the product strategy and tries to build up A creative organization, leading to the photovoltaic industry as A whole in China benign development help. © 2021 The Author(s)