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연구 리포트 - 직접 처분 방식의 후행 핵연료주기의 경제성
임만성,조석기,Im, Man-Seong,Jo, Seok-Gi 한국원자력산업회의 2016 원자력산업 Vol.36 No.2
탈원전, 원자력 에너지의 계속적인 이용, 한반도의 통일 등 다양한 변수들은 한국의 직첩 처분 기반의 후행 핵연료주기의 경제성에 영향을 미칠 수 있다.
변현호,임만성 한국원자력학회 2022 Nuclear Engineering and Technology Vol.54 No.12
A pool scrubber is often used as a wet-type design to mitigate the consequence of a severe nuclear accident. While studies indicated higher decontamination performance of a deeper pool, utilizing a very tall pool can be problematic due to potential structural stability and water backflow issues. This study proposes, as an alternative to a single pool system, a pool scrubber system composed of serially connected multiple pools with lower heights. Since large fraction of aerosol removal takes place in the injection region, serially connected pool scrubber system is expected to enhance the overall decontamination capability of a pool scrubber system. To support the analysis of the proposed system's decontamination capability, a new computer model was developed in the study to describe the bubble size dependent effect on aerosol removal including the effect of pool residence time. The accuracy of the new model was examined against experimental data for its validation. The proposed scrubber system composed of serially connected multiple shorter pools is found to have much improved decontamination performance over the current single pool system design.
강성우,임만성 한국원자력학회 2024 Nuclear Engineering and Technology Vol.56 No.5
The goal of this research is to propose a way to maximize small modular reactor (SMR) utilization to gain better market feasibility in support of carbon neutrality. For that purpose, a comprehensive tool was developed, combining off-design thermohydraulic models, economic objective models (levelized cost of electricity, annual profit), non-economic models (saved CO2), a parameter input sampling method (Latin hypercube sampling, LHS), and a multi-objective evolutionary algorithm (Non-dominated Sorting Algorithm-2, NSGA2 method) for optimizing a SMR-combined heat and power cycle (CHP) system design. Considering multiple objectives, it was shown that NSGA2+LHS method can find better optimal solution sets with similar computational costs compared to a conventional weighted sum (WS) method. Out of multiple multi-objective optimal design configurations for a 105 MWe design generation rating, a chosen reference SMR-CHP system resulted in its levelized cost of electricity (LCOE) below $60/MWh for various heat prices, showing economic competitiveness for energy market conditions similar to South Korea. Examined economic feasibility may vary significantly based on CHP heat prices, and extensive consideration of the regional heat market may be required for SMR-CHP regional optimization. Nonetheless, with reasonable heat market prices (e.g. district heating prices comparable to those in Europe and Korea), SMR can still become highly competitive in the energy market if coupled with a CHP system.
정영은,안성규,임만성 한국원자력학회 2022 Nuclear Engineering and Technology Vol.54 No.2
During the pyroprocessing operation, various signals can be collected by process monitoring (PM). Thesesignals are utilized to diagnose process states. In this study, feasibility of using PM for nuclear safeguardsof electrorefining operation was examined based on the use of machine learning for detecting off-normaloperations. The off-normal operation, in this study, is defined as co-deposition of key elements throughreduction on cathode. The monitored process signal selected for PM was cathode potential. The necessary data were produced through electrodeposition experiments in a laboratory molten salt system. Model-based cathodic surface area data were also generated and used to support model development. Computer models for classification were developed using a series of recurrent neural network architectures. The concept of transfer learning was also employed by combining pre-training and fine-tuningto minimize data requirement for training. The resulting models were found to classify the normal andthe off-normal operation states with a 95% accuracy. With the availability of more process data, theapproach is expected to have higher reliability
김필서,조소빈,임만성 한국원자력학회 2022 Nuclear Engineering and Technology Vol.54 No.8
According to the Renewable Energy 3020 Implementation Plan announced in 2017 by the South Korean government, the electricity share of renewable energy will be expanded to 20% of the total electricity generation by 2030. Given the intermittency of electricity generation from renewable energy, realization of such a plan presents challenges to managing South Korea's isolated national electric grid and implies potentially large excess electricity generation in certain situations. The purpose of this study is: 1) to develop a model to accurately simulate the effects of excess electricity generation from renewables which would arise during the transition, and 2) to propose strategies to manage excess electricity generation through effective utilization of domestic electricity generating capabilities. Our results show that in periods of greater PV and wind power, namely the spring and fall seasons, the frequency of excess electricity generation increases, while electricity demand decreases. This being the case, flexible operation of coal and nuclear power plants along with LNG and pumped-storage hydroelectricity can be used to counterbalance the excess electricity generation from renewables. In addition, nuclear energy plays an important role in reducing CO2 emissions and electricity costs unlike the fossil fuel-based generation sources outlined in the 8th Basic Plan
Viet Phuong Nguyen,임만성 한국원자력학회 2018 Nuclear Engineering and Technology Vol.50 No.5
Public acceptance is a major issue that will determine the future of nuclear energy. In this article, wereview relevant studies and identify several common patterns of nuclear public acceptance. Based onthese patterns and four categories of factors, we propose hypotheses on the impact of different socioeconomicfactors on the public opinion of nuclear energy. These factors were demographic and socialinfluences, politico-economic, energy conditions, and nuclear accidents and natural risks. We testedthese hypotheses using a data set including survey results on public opinion of nuclear energy in 59countries from 1987 to 2014. Results of the regression analysis generally verified the proposed hypotheses,especially regarding the positive impact of education or geological suitability and the negativeeffect of improved living standards and democracy on nuclear acceptance. We propose policy recommendations,including a better focus on education and communication and a thorough consideration ofthe social and geological conditions a country needs to make before deciding to go nuclear. Potentialweaknesses of this study are also discussed, including the possible causal relation between independentvariables and the binary nature of the dependent variable