• 한국항해항만학회지
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• 제32권10호
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• pp.765-770
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• 2008

본 논문은 하이브리드 전기 추진 시스템의 전력 제어에 관한 연구를 수행하였다. 하이브리드 전기 추진 시스템은 기본적으로 발전기와 축전지 전원을 이용하여 선박을 추진하는 시스템이다. 하이브리드 추진 시스템은 공급되는 전력을 최소화하기 위한 제어 알고리즘으로 동작한다. 본 논문에서는 하이브리드 전기 추진 시스템의 효율을 증가시키기 위한 축전지 충전 알고리즘을 제안한다. 실험을 통하여 제어 알고리즘이 하이브리드 전기 추진 시스템에서 정상적으로 동작하는 것을 알 수 있었다.

• 한국지능시스템학회논문지
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• 제16권6호
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• pp.753-758
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• 2006

본 논문에서는 하이브리드 발전 시스템에서의 최대 전력 추종을 위한 디지털 퍼지 제어기 설계를 목표로 한다. 하이브리드 발전 시스템은 풍력과 태양광, 두 개의 발전 시스템으로 구성된다. 각 발전기에서 전압과 전류는 일반적으로 비선형 관계에 있기 때문에, 퍼지 모델 기반 제어기를 사용하여 비선형성을 효율적으로 제어하게 된다. 또한 마이크로프로세서 기반제어 시스템의 구축을 위하여 최신 디지털 재설계 기법을 사용하며, 디지털 퍼지 제어기를 설계하게 된다. 마지막으로 하이브리드 발전 시스템의 플랜트를 통한 실험으로써 본 제안 기법의 우수성을 입증한다.

• 한국산업보건학회지
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• 제29권3호
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• pp.351-357
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• 2019

Objectives: The objectives of this study were to investigate fungal contamination in a 31-year old university building in Seoul, Korea, and to study the inactivation of fungi using cold atmospheric pressure plasma(CAP). Methods: To investigate the fungal contamination in a university building, air samples were collected from five locations in the building, including two study rooms, a storage room, a laboratory, and a basement. The sampling was performed in a dry season(February to April) and in a wet season(July). To study the inactivation efficacy of fungi by CAP, airborne fungal concentrations were measured before and after the operation of the CAP generator. Results: Humidity was an important factor affecting fungal growth. The airborne fungal concentrations determined in the wet season(July) were significantly higher than those determined in the dry season(February to April). In the basement, the values determined in the dry and wet season were 319 and $3,403CFU/m^3$, respectively. The inactivation efficiency of fungi by CAP was 83-90% over five to nine days of operation. Conclusions: The university building was highly contaminated by airborne fungi, especially in summer. It is concluded that humidity is an important factor affecting fungal growth and CAP is a highly useful technique for inactivation of indoor airborne fungi.

• Ocean Systems Engineering
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• 제2권4호
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• pp.297-314
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• 2012

Power-take-off through inner dynamic system inside a floating buoy is suggested. The power take-off system is characterized by mass, stiffness, and damping and generates power through the relative heave motion between the buoy and inner mass (magnet or amateur). A systematic hydrodynamic theory is developed for the suggested WEC and the developed theory is illustrated by a case study. A vertical truncated cylinder is selected as a buoy and the optimal condition of the inner dynamic system for maximum PTO (power take off) through double resonance for the given wave condition is systematically investigated. Through the case study, it is seen that the maximum power can actually be obtained at the optimal spring and damper condition, as predicted by the developed WEC theory. However, the band-width of high performance region is not necessarily the greatest at the optimal (maximum-power-take-off) condition, so it has to be taken into consideration in the actual design of the WEC.

• Nuclear Engineering and Technology
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• 제51권3호
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• pp.723-730
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• 2019

Acquiring instrumentation signals generated from nuclear power plants (NPPs) is essential to maintain nuclear reactor integrity or to mitigate an abnormal state under normal operating conditions or severe accident circumstances. However, various safety-critical instrumentation signals from NPPs cannot be accurately measured on account of instrument degradation or failure under severe accident circumstances. Reactor vessel (RV) water level, which is an accident monitoring variable directly related to reactor cooling and prevention of core exposure, was predicted by applying a few signals to deep neural networks (DNNs) during severe accidents in NPPs. Signal data were obtained by simulating the postulated loss-of-coolant accidents at hot- and cold-legs, and steam generator tube rupture using modular accident analysis program code as actual NPP accidents rarely happen. To optimize the DNN model for RV water level prediction, a genetic algorithm was used to select the numbers of hidden layers and nodes. The proposed DNN model had a small root mean square error for RV water level prediction, and performed better than the cascaded fuzzy neural network model of the previous study. Consequently, the DNN model is considered to perform well enough to provide supporting information on the RV water level to operators.

• 한국안전학회지
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• 제38권1호
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• pp.18-24
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• 2023

Severe natural disasters and man-made attacks such as terrorism are causing unprecedented disruptions in power systems. Due to rapid climate change and the aging of energy infrastructure, both the frequency of failure and the level of damage are expected to increase. Resilience is a concept proposed to respond to extreme disaster events that have a low probability of occurrence but cause enormous damage and is defined as the ability of a system to recover to its original function after a disaster. Resilience is a comprehensive indicator that can include system performance before and after a disaster and focuses on preparing for all possible disaster scenarios and having quick and efficient recovery actions after an incident. Various studies have been conducted to evaluate resilience, but studies on economic damage considering the duration of a power outage are scarce. In this study, we propose an optimal algorithm that can identify failures after an extreme disaster and restore the load on the distribution system through emergency distributed power generation input and system reconfiguration. After that, the cost of power outage damage is analyzed by applying VoLL and CDF according to each restoration strategy.

• 반도체디스플레이기술학회지
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• 제22권4호
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• pp.66-71
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• 2023

This paper describes a hybrid cleaning method of silicon wafer combining nano-bubble and ultrasound to remove sub-micron particles and contaminants with minimal damage to the wafer surface. In the megasonic cleaning process of semiconductor manufacturing, the cavitation induced by ultrasound can oscillate and collapse violently often with re-entrant jet formation leading to surface damage. The smaller size of cavitation bubbles leads to more stable oscillations with more thermal and viscous damping, thus to less erosive surface cleaning. In this study, ultrasonic energy was applied to the wafer surface in the DI water to excite nano-bubbles at resonance to remove contaminant particles from the surface. A patented nano-bubble generator was developed for the generation of nano-bubbles with concentration of 1×10⁹ bubbles/ml and nominal nano-bubble diameter of 150 nm. Ultrasonic nano-bubble technology improved a contaminant removal efficiency more than 97% for artificial nano-sized particles of alumina and Latex with significant reduction in cleaning time without damage to the wafer surface.

• 한국가시화정보학회지
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• 제22권1호
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• pp.34-39
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• 2024

With the fine particulate matter (PM) poses a serious threat to public health and the environment. The ultrafine PM in particular can cause serious problems. This study investigates the effectiveness of a submicron dry fog system in removing fine PM. Two methods are used to create fine dust particles: burning incense and utilizing an aerosol generator. Results indicate that the dry fog system effectively removes fine dust particles, with a removal efficiency of up to 81.9% for PM₁₀ and 61.9% for PM_2.5 after 30 minutes of operation. The dry fog, characterized by a mean size of approximately 1.5 ㎛, exhibits superior performance in comparison to traditional water spraying methods, attributed to reduced water consumption and increased contact probability between water droplets and dust particles. Furthermore, experiments with uniform-sized particles which sizes are 1 ㎛ and 2 ㎛ demonstrate the system's capability in removing ultrafine PM. The proposed submicron dry fog system shows promise for mitigating fine dust pollution in various industrial settings, offering advantages such as energy consumption and enhanced safety for workers and equipment.

• Nuclear Engineering and Technology
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• 제56권1호
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• pp.141-146
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• 2024

Station blackout (SBO) risk is one of the most significant contributors to nuclear power plant risk. In this paper, the sequence probability formulas derived by the convolution approach are compared with those derived by the conventional event tree/fault tree (ET/FT) approach for the SBO situation in which emergency diesel generators fail to start. The comparison identifies what makes the ET/FT approach more conservative and raises the issue regarding the mission time of a turbine-driven auxiliary feedwater pump (TDP), which suggests a possible modeling improvement in the ET/FT approach. Monte Carlo simulations with up-to-date component reliability data validate the convolution approach. The sequence probability of an alternative alternating current diesel generator (AAC DG) failing to start and the TDP failing to operate owing to battery depletion contributes most to the SBO risk. The probability overestimation of the scenario in which the AAC DG fails to run and the TDP fails to operate owing to battery depletion contributes most to the SBO risk overestimation determined by the ET/FT approach. The modification of the TDP mission time renders the sequence probabilities determined by the ET/FT approach more consistent with those determined by the convolution approach.

• 한국해양환경ㆍ에너지학회지
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• 제16권4호
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• pp.239-247
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• 2013

최근 화석연료의 고갈과 환경오염으로 인하여 해상풍력에너지와 같은 신재생 에너지에 대한 관심이 높아지고 있다. 본 연구에서는 범용 동역학해석 프로그램인 MSC.ADAMS를 이용하여 공력하중 및 전기 발전기 토오크를 결정하기 위한 테브난(Thevenin) 방정식이 고려된 해상풍력발전기의 다물체 동역학 해석 기법을 검토하였다. 해석대상으로 고려한 시스템은 5MW급 해상풍력발전기이며, 3개의 블레이드가 수평축 방향에서 역풍을 받아 전기를 생산하는 수평축 풍력발전 형태이다. 블레이드에 작용하는 공력하중은 블레이드 요소 모멘텀 이론을 기반으로 일반화된 동적 웨이크를 고려할 수 있도록 개발된 AeroDyn 프로그램으로부터 산출하였다. 해상풍력발전기의 주요 연결부에서의 동적하중과 토오크 특성이 실제 현상과 유사하게 산출될 수 있도록 하기 위하여, 다물체 동역학 모델 상에 블레이드와 타워는 실제 구조 특성치를 고려한 유연체 모델링을 적용하였다.