This study improved the work efficiency by supplementing the shortcomings of the manual process by developing a double tube feeding device, and the following results were obtained by conducting the production capacity, production length, and defect rate tests. Developed a double tube production system to enable the simultaneous production of two tubes, increasing the production volume by about 1.5 times. The product length has been improved from semi-automatic to automated, and the production capacity has been improved from 16 to 25 pieces per hour (based on 15m). Developed a double-tube input straight line automatic adjustment feeder, which resulted in reducing the defect rate to less than 1%.

In the nuclear fuel cycle (NFC) facilities, the failure of Heating Ventilation and Air Conditioning (HVAC) system starts with minor component failures and can escalate to affecting the entire system, ultimately resulting in radiological consequences to workers. In the field of air-conditioning and refrigerating engineering, the fault detection and diagnosis (FDD) of HVAC systems have been studied since faults occurring in improper routine operations and poor preventive maintenance of HVAC systems result in excessive energy consumption. This paper aims to provide a systematic review of existing FDD methods for HVAC systems therefore explore its potential application in nuclear field. For this goal, typical faults and FDD methods are investigated. The commonly occurring faults of HVAC are identified through various literature including publications from International Energy Agency (IEA) and American Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE). However, most literature does not explicitly addresses anomalies related to pressure, even though in nuclear facilities, abnormal pressure condition need to be carefully managed, particularly for maintaining radiological contamination differently within each zone. To build simulation model for FDD, the whole-building energy system modeling is needed because HVAC systems are major contributors to the whole building’s energy and thermal comfort, keeping the desired environment for occupants and other purposes. The whole-building energy modeling can be grouped into three categories: physics-based modeling (i.e., white-box models), hybrid modeling (i.e., grey-box models), and data-driven modeling (i.e., black-box models). To create a white-box FDD model, specialized tools such as EnergyPlus for modeling can be used. The EnergyPlus is open source program developed by US-DOE, and features heat balance calculation, enabling the dynamic simulation in transient state by heat balance calculation. The physics based modeling has the advantage of explaining clear cause-and-effect relationships between inputs and outputs based on heat and mass transfer equations, while creating accurate models requires time and effort. Creating a black-box FDD model requires a sufficient quantity and diverse types of operational data for machine learning. Since operation data for HVAC systems in existing nuclear cycle facilities are not fully available, so efforts to establish a monitoring system enabling the collection, storage, and management of sensor data indicating the status of HVAC systems and buildings should be prioritized. Once operational data are available, well-known machine learning methods such as linear regression, support vector machines, random forests, artificial neural networks, and recurrent neural networks (RNNs) can be used to classify and diagnose failures. The challenge with black-box models is the lack of access to failure data from operating facilities. To address this, one can consider developing black-box models using reference failure data provided by IEA or ASHRAE. Given the unavailability of operation data from the operating NFC facilities, there is a need for a short to medium-term plan for the development of a physics-based FDD model. Additionally, the development of a monitoring system to gather useful operation data is essential, which could serve both as a means to validate the physics-based model and as a potential foundation for building data-driven model in the long term.

A large amount of small and medium-sized metal waste is generated during the decommissioning of nuclear power plants (NPPs). Metal waste is mostly contaminated with low-level radioactive, so it needs decontamination for self-disposal and recycling. A large amount of Organic Decontamination Liquid Waste during decontamination will be generated. The generated organic liquid waste is low in concentration, so the decomposition efficiency is low in the decomposition process. A conditioning process is necessary to concentrate at a high concentration. For effective treatment for Organic Decontamination Liquid Waste, the composition of organic liquid waste and conditioning process were analyzed. Organic acids, metal ions, radioactive nuclides, surfactants, etc. are present in the Organic Decontamination Liquid Waste, and suspended solids are sometimes generated by various reactions. According to previous studies, the concentration of organic acids including surfactants obtained results from several tens of ppm to a maximum of 1,000 ppm, so the maximum value of 1,000 ppm was assumed. For the composition and total amount of metal ions, the average value (52.7wt% Fe, 16.3wt% Ni, 15.1wt% Cr, 15.9wt% Mn) of the distribution of metal species removed by the actual decontamination process is applied, and the total amount is 1,000 ppm was assumed. As for the radionuclides, only 60Co and 137Cs, which are expected to be mainly present, were considered, and 60Co was assumed to be 2,000 Bq/g and 137Cs to be 360 Bq/g by referring to the literature. The amounts of suspended solids were assumed to be 500 ppm by referring to the characteristics of the liquid waste generated in the decontamination process of the NPPs. Based on the estimated value, a reaction formula was established and a simulated Organic Decontamination Liquid Waste was prepared. As a result of measurement using an analysis device, the composition of the estimated and simulated Organic Decontamination Liquid Waste had similar values. The conditioning and treatment process largely consists of pretreatment, conditioning, decomposition processes. Organic Decontamination Liquid Waste goes through a pretreatment process to remove impurities with large particles. In the conditioning process, treated water that has passed through the UF/RO membrane system is discharged into the environment. At this time, Concentrated water goes through a decomposition process for processing the Organic Decontamination Liquid Waste, and is discharged to the environment through a secondary RO membrane system. The conditioning process is the low-concentration Organic Decontamination Liquid Waste in the UF membrane system is forming a micelles in an RO membrane system, concentrating it to a high concentration and then go through a recirculation process in the UF membrane system. An experiment was conducted to confirm whether the concentration of surfactants occurred during the conditioning process. As a result of the experiment confirmed that the highly concentrated surfactant formed micelles and was filtered out in the UF membrane system.

Organic waste generated by small and medium-sized (S&M-sized) metal decontamination in NPP decommissioning. To lower the concentration of these organic substances for a level acceptable at the disposal site, the project of “Development of Treatment Process of Organic Decontamination Liquid Wastes from Decommissioning of Nuclear Power Plants” is being carried out. The conditioning and treatment process of organic liquid waste was designed. Also, the literature was investigated to make simulated organic liquid waste, and the composition of these waste was analyzed and compared. As the decontamination agent, organic acids such as EDTA, oxalic acid, citric acid are used. The sum of the concentrations of these organic materials was set to a maximum value of 1,000 ppm. The major metal ions of the decontamination liquid waste estimated are 59Fe, 51Cr, 54Mn, 63Ni, and the concentrations are respectively 527, 163, 161, 159 ppm. Additional major metal ions are 60Co, 58Co, 137Cs. 58Co is replaced by 60Co because it has the same chemical properties as 60Co. Unlike the HLW, the contamination level of S&M-sized metal in primary system was quite low, so 60Co is set to 2,000 Bq/g. Considering the contribution of fission and gamma ray dose constant, 137Cs was estimated to 360 Bq/g. Also, suspended solids of decontamination liquid waste were set at 500 ppm. Under these assumptions, the simulated organic liquid waste was made, and then organic substances and metal ions were analyzed with TOC analyzer and ICP-OES. The TOC analysis value was expected to 392 ppm in consideration of the equivalent organic quantity. the test result was 302 ppm. Some of organics appears to have been decomposed by acid. The values of metal ions (Fe3+, Cr3+, Mn2+, Ni2+) analyzed by ICP-OES are 139, 4, 152, 158 ppm, respectively. A large amount of Cr3+ and Fe3+ were expected to exist as ions, but they existed in the form of suspended solid. Mn2+ and Ni2+ came out similar to the expected values. The designed conditioning and treatment process is largely divided into pretreatment, conditioning, and decomposition processes. After collecting in the primary liquid waste storage tank, large particulate impurities and suspensions are removed through a pretreatment process. In the conditioning process, treated liquid waste passes through UF/RO membrane system, and pure water is discharged to the environment after monitoring. Concentrated water is decomposed in the electrochemical catalyst decomposition process, then this water secondarily passes through the RO membrane system and then discharged to the environment after monitoring. Through an additional experiment, the conditioning and treatment process will be verified.

The Nuclear Cycle Experiment Research Center is one of the facility of the Korea Atomic Energy Research Institute (KAERI). This facility is a laboratory-scale version of pyro-processing technology. Mixture depleted Uranium (DU) and depleted Uranium (DU) feed material are used in this facility for pyro-research. During summer, air conditioners that maintain temperature and humidity are always in operation to protect analysis equipments. 15 air conditioners are installed in this facility. The condensate which is generated in 15 air conditioners is collected in one place to analyze. Sampling was performed to check the level of contamination, U, pH and gamma radiation test were performed. This paper shows the degree of contamination of air conditioner condensate which is generated in the radiation management area.

In general, small and medium-sized computer rooms do not have access floors for reasons of increased floor height and increased construction cost. Therefore, the air conditioning method used here applies the method of directly blowing the cold air of the air conditioner into the computer room. In this case, the hot/cold air is not separated, and as the hot air is recirculated, it is re-introduced to the front of the server rack, resulting in a problem that the server cooling efficiency is decreased. In addition, in such a computer room structure, it is difficult to configure and install a containment system. In this study, we tried to understand the problem of the formation airflow in the case of using the existing air conditioning method, and to find a method of configuring the air conditioning environment to improve the cooling efficiency. The purpose of this study was to understand the airflow/temperature distribution in the computer room using the CFD simulation method. In addition, the thermal characteristics of various air-conditioning environments such as the location of the CRAC cold air discharge location, the layout between server rack and CRAC and the containment were reviewed.

To ensure the safety and functionality of a railroad bridge, maintaining the integrity of the bridge via continuous structural health monitoring is important. However, most structural integrity monitoring methods proposed to date are based on modal responses which require the extracting process and have limited availability. In this paper, the applicability of the existing damage identification method based on free-vibration reponses to time-domain deflection shapes due to moving train load is investigated. Since the proposed method directly utilizes the time-domain responses of the structure due to the moving vehicles, the extracting process for modal responses can be avoided, and the applicability of structural health evaluation can be enhanced. The feasibility of the presented method is verified via a numerical example of a simple plate girder bridge.

This experiment evaluated the efficiency of mechanical ventilation, one of the measures to reduce indoor radon concentration in residential spaces. In the most popular ventilation rates of the air conditioning system, the most efficient air conditioning system was confirmed by checking the time when the radon concentration reached the lowest level, the radon reduction rate, and the radon concentration that could be lowered as much as possible. The results showed a reduction rate of up to 80% or more as a result of conducting the experiment by blocking the inflow of outside air. It was confirmed that the time to reach the lowest concentration after starting the mechanical ventilation was about 6 hours to a maximum of 7 hours. Therefore, this study verified that indoor radon concentrations can be efficiently reduced by using a mechanical ventilation system.

In this study, heat exchangers used in data center and building air-conditioners were tested according to the type of heat exchangers to select them for commercial use. The experiment was performed three samples, one micro channel heat exchanger, the same volume oval coil and the same performance oval coil. The experiment conducted under actual operation conditions in the data center and building. Micro-channel heat exchanger has lower air side pressure drop and higher capacity per volume than oval coil. It may be advantageous when the installation small space or the little design static pressure in the fan, such as in-row systems or CRAC installed in data center.

목적 : 본 연구는 인공눈물과 습윤액에 대한 일반인의 올바른 사용법 인지 여부의 파악하고, 인공눈물 및 습윤 액 사용 시 시간 경과에 따라 눈물막 안정성(눈물띠 높이와 눈물막 파괴시간)에 미치는 영향을 측정하고자 하였다. 방법 : 첫 번째 실험은 온라인 설문조사로 안구점안액의 사용법에 대한 인지를 온라인 설문을 통하여 실시하였다. 두 번째 실험은 20명의 피실험자를 모집하여, OSDI 점수를 기준으로 건성안과 비건성안 그룹으로 나누고(건성안 그룹 10명, 비건성안 그룹 10명), 참가자에게 3개의 점안액(인공눈물(AT), 습윤액(CS), 식염수(SS)를 점안하도록 하였다. 점안 후 1분, 3분, 5분 단위로 눈물막 높이(TMH)와 눈물막 파괴 시간(TBUT)을 측정하여 눈물막 안 정성 변화를 확인하였다. 결과 : 127명의 온라인 설문 응답자 중 66.6%(N=82)가 인공눈물과 습윤액의 차이에 대해서 잘 모른다고 응답하였으며, 콘택트렌즈 착용자 중 68.1%(N=47)는 렌즈 착용 중 인공눈물을 점안한 경험이 있다고 답하였다. 점안 시 시간경과에 따라 눈물띠 높이는 통계적 유의성이 있었다.(Baseline<1 min and 3 min, p<0.050). 하지만 점안전과 5분경과시의 눈물띠의 차이는 없었다(p=0.720). 눈물막 파괴시간은 점안액 종류별로 유의적인 차이가 있었으며 (SS<AT, CS p<0.050) 시 간경과에 따른 유의적 차이도 있었다(baseline, 5 min after < 1 min after, p<0.050). 결론 : 많은 사람들이 올바른 사용법에 대한 인지가 부족하였으며, 올바른 사용법의 전달이 이루어져야 할 것 이다. 눈물띠 높이는 점안액에 따른 변화는 5분 이후에는 관찰되지 않았으며, 이는 일시적인 증상완화만을 의미할 수 있다. 눈물막 파괴시간은 인공눈물을 점안 시 1분경과시 가장 길게 나타났다. 식염수 점안 시 눈물막이 가장 불안정하게 되었으며, 특히나 눈물막 파괴시간에 미치는 영향이 가장 컸다.

Indirect evaporative coolers (IECs) are widely used for cooling of outdoor air in building air-conditioning and for cooling of indoor air in data center air-conditioning. However, for each case, the inlet air temperature and humidity condition to IEC are different, which may yield different cooling efficiency. In this study, tests were conducted at the two air conditions using two IEC samples having different channel pitch (3 mm × 5 mm, 5 mm × 5 mm). Results showed that the efficiencies of the 3 mm × 5 mm sample were 12~32% larger than those of the 5 mm × 5 mm sample due to 25% larger heat transfer area and the usage of smaller diameter channel. The efficiency was 10% larger at the data center condition than at the building condition. The reason may be attributed to a larger absolute humidity difference between the liquid film and the air at the data center condition. At the same air velocity, the pressure drops at the wet channel were 64~128% larger than those at the dry channel due to the presence of liquid film at the wet channel. Comparison of the data with predictions by the analytical model revealed that both the efficiency and the pressure drop were over-predicted. Possible reason may be the simplification of the channel geometry and the assumption of fully developed flow, which may be improved in the future.

To ensure the safety and functionality of a railroad bridge, maintaining the integrity of the bridge via continuous structural health monitoring is important. However, most structural integrity monitoring methods proposed to date are based on modal responses which require the extracting process and have limited availability. In this paper, the applicability of the existing damage identification method based on free-vibration reponses to time-domain deflection shapes due to moving train load is investigated. Since the proposed method directly utilizes the time-domain responses of the structure due to the moving vehicles, the extracting process for modal responses can be avoided, and the applicability of structural health evaluation can be enhanced. The feasibility of the presented method is verified via a numerical example of a simple plate girder bridge.

굴 패각과 같은 반응성 재료는 사용 목적에 적합한 전처리 조건을 선택할 필요가 있다. 본 연구에서는 인 농도 제어를 목적으로 효율적인 굴 패각 사용을 위한 전처리 조건을 제안하는데 목적을 둔다. 굴 패각의 전처리(소성 온도, 소성 시간, 입자 크기)에 따른 인산염 제거 효율을 조사하였다. 또한 XAFS 분석 및 등온 흡착 실험을 통해 굴 패각의 인산염 제거특성에 대해 조사하였다. 실험 결과 소성 온도는 600°C, 소성 시간은 6 h, 입자 크기는 0.355~0.075 mm에서 우수한 제거 효율을 확인하였다. 등온 흡착 실험 결과 Langmuir 모델이 굴 패각의 흡착에 적합한 것으로 나타났다. XAFS 분석 결과 600°C에서 소성시킨 굴 패각에는 인산칼슘이 생성된 것이 확인되었다. 즉 굴 패각의 칼슘 이온 용출에 의한 인산칼슘 형성이 인산염의 농도 감소에 기여하고 있음을 확인하였다.

본 연구는 냉동공조용 열교환기 내 스케일 형성으로 열전달 과정에서 열저항으로 작용하여 냉동공조시스템의 냉각성능이 떨어져 이를 해결하기 위해 전기분해 원리를 이용하여 배관 내 스케일을 자동 제거하는 시스템을 개발하여 그 성능을 실험을 통해 확인하고자 한다. 이전까지는 배관 내 스케일을 2∼3 년에 한번씩 브러시나 분사 노즐에 의해 기계적으로 배관 내를 청소를 하거나 화학약품을 이용하여 세관하였다. 이러한 세관은 시간이 경과하면 또 관이 오염되어 전열성능이 떨어지고 냉각장치의 운전을 정지하여 반복해야하는 여러 가지 문제점을 안고 있었다. 따라서 시스템의 정지없이 전기분해 원리를 이용하여 만들어진 처리수를 순환시킴으로서 스케일의 원인물질은 Ca, Mg, SiO2를 고형물 형태로 석출시켜 배관계 외부로 배출시킴으로서 배관내 스케일 발생을 차단하고 기 형성된 스케일을 제거하여 배관의 전열 성능을 유지하고자 하는 것이다. 실험한 결과, 새 배관의 열전달율을 100으로 기준할 경우, 스케일이 형성된 배관의 열전달율은 86.66%이었으며, 스케일이 형성된 배관을 1개월 동안 처리수를 가동했을 경우 열전달율은 90.5%의 수준까지 회복되었으며, 2개월간 운전한 경우 97.86%의 수준까지, 3개월 운전했을 경우 98.72% 까지 열전달율이 회복되었다. 비교적 짧은 실험기간이지만 배관내 형성된 스케일의 제거효과를 파악하였으며, 전열성능에도 영향을 미치고 있음을 확인하였다.

This study investigated the odor-associated bacterial community in automobile HVAC systems. Through a metagenome analysis, it was found that; Massilia (42.426%), Sphingomonas (28.200%), (10.780%), and Methylobacterium (5.756%) were abundant in the HVAC systems. Massilia can cause the biodegradation of polycyclic aromatic hydrocarbons (PAHs) producing odor in automobiles. Sphingomonas produces volatile halogenated compounds or degrades organic pollutants. Rhodococcus is reported to produce sulfur compounds which give off an odor similar to rotting eggs and cabbages. Methylobacterium is one of the most representative bacteria that causes odor in automobile HVAC systems. The evaporator is considered as the appropriate habitat for microorganisms in automobiles because of its high humidity and organic adsorption. Massilia, Sphingomonas, Rhodococcus, Methylobacterium, Bacillus, Staphylococcus, Arthrobacter, Micrococcus, and Pseudomonas, listed in order from most to least present, were isolated as abundant bacteria in the evaporator of the HVAC systems.

In this paper, we utilize a Gaussian process to predict the power consumption in the air-conditioning system. As the power consumption in the air-conditioning system takes a form of a time-series and the prediction of the power consumption becomes very important from the perspective of the efficient energy management, it is worth to investigate the time-series model for the prediction of the power consumption. To this end, we apply the Gaussian process to predict the power consumption, in which the Gaussian process provides a prior probability to every possible function and higher probabilities are given to functions that are more likely consistent with the empirical data. We also discuss how to estimate the hyper-parameters, which are parameters in the covariance function of the Gaussian process model. We estimated the hyper-parameters with two different methods (marginal likelihood and leave-one-out cross validation) and obtained a model that pertinently describes the data and the results are more or less independent of the estimation method of hyper-parameters. We validated the prediction results by the error analysis of the mean relative error and the mean absolute error. The mean relative error analysis showed that about 3.4% of the predicted value came from the error, and the mean absolute error analysis confirmed that the error in within the standard deviation of the predicted value. We also adopt the non-parametric Wilcoxon’s sign-rank test to assess the fitness of the proposed model and found that the null hypothesis of uniformity was accepted under the significance level of 5%. These results can be applied to a more elaborate control of the power consumption in the air-conditioning system.

In this study, by comparing the heating performance when operating the air conditioning system that is installed directly air-cooled(heater) air conditioning central air conditioning system of the ship, with improved performance, through the actual measurement study of thermal environment of the cabin, Ship's air conditioning in the future it is intended to be used as a basic data experience of design and planning.