In this study, flow analysis was performed using ANSYS CFX to evaluate the performance of the 30kg hydrogen fuel cell hexa-copter drone in hovering flight. In the case of a hydrogen fuel cell hexa-copter drone, a total of four cooling fans are mounted on the drone's body in two pairs on the left and right to cool the fuel cell module. In order to evaluate the effect of the air flow from the cooling fan on the aerodynamic properties of the hydrogen fuel cell drone as the mounted cooling fan operates, the change in thrust for the case where the cooling fan operates and does not operate was compared and analyzed. Looking at the analysis results, it was found that the presence or absence of the drone's cooling fan had little effect on the drone's thrust through the thrust results for the six wings.

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.

Due to severe environmental pollution from ships, IMO(International Maritime Organization) is imposing strict controls on pollutant emission in ECA(Emission Control Area). There have been active studies to find fuel that could replace existing fossil fuel and especially in recent times, diverse studies on recycling of coffee ground are in progress. The annual domestic consumption of coffee was 150,000 tons according to the data of 2017 year and 99% of them are coffee ground to be scrapped. Therefore, in this study, coffee ground was mixed with diesel oil to develop alternative fuel. The analysis result showed that when coffee ground and diesel oil were mixed at a rate of 30%, 20% and 10%, the diameter of coffee ground droplet was 49.1μm, 45.9μm and 17.5μm respectively.

Numerical analysis has been carried out to investigate the flow field characteristics for exhaust gas in automobile engine DPF system. The DPF system performance is largely affected by exhaust gas flow while it passes through the complicated geometry of DOC/DPF system, fan shape structure, and perforated can with air for fuel combustion. Hence the characteristics of fluid velocity, pressure, and streamline are analyzed with velocity uniformity in front of DOC and swirl flow near the fan. It can be seen that the velocity uniformity increases with the gas flow rate including flow acceleration near the lower area of the fan. The air flow also influences the gas flow distribution close to the impeller and fan structure with complicated swirl flow. These results are expected to be applicable as fundamental design data for automobile engine exhaust system.

본 연구에서는 선박용 엔진을 활용하여 E2, E3 사이클 시험 결과로부터 연료 내 황 함유량 변화에 따른 대기오염물질 배출 특성을 조사하였다. 테스트를 위해 사용된 엔진은 360 PS의 엔진(Doosan L126TIH engine)을 활용하였고, 동력계로는 Horiba-Schenck사의 400㎾급 동력계인 W400을 사용하였다. 엔진에서 발생되는 대기오염물질 계측을 위해서는 오스트리아 AVL사의 FTIR과 SPC 장비를 배기라인 후단에 장착해서 사용하였다. 실험 결과로는 E2, E3 사이클 모두에서 연료 내 황 함유량이 증가할수록 THC와 CO의 단위 출력 당 배출량은 감소하고 입자상물질은 증가하였다. 연료의 황 함유량이 증가할수록 동점도가 증가되어 엔진의 연료소모율이 좋아지는 것을 확인하였다. 이는 본 연구에 사용된 엔진의 경우 연료 분사압력이 일정한 상태에서 동점도 증가에 따른 분무입자의 평균입경이 커짐에 따른 연소 상태가 개선되었기 때문이라 생각되어진다. 질소산화물의 경우 이번 연구에서는 황함유량의 변화에도 배출량에서는 큰 변화를 보이지 않았다.

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.

본 연구에서는 목포해양대학교의 실습선 새누리호를 대상으로 선박의 중앙집중 공조시스템에 공랭식 에어컨을 직접 설치하여 성능을 개선시킨 공기조화시스템으로 운전하였을 경우의 냉방 성능을 비교하고, 선실의 온열환경에 대한 실측조사를 통해서 향후 선박용 공기조화 설계 및 계획에 경험적 기초참고자료로 활용하고자 하는 것이다. 연구결과 동일한 외기조건에서 기존의 중앙집중방식 공조시스템과 개선된 공조시스템으로 운전하였을 경우, 모든 선실의 온도는 24~28 ℃, 습도는 55~75 %로 쾌적한 조건임을 알 수 있었고, 발전기 부하를 측정결과 공기조화시스템의 성능개선에 따라 평균 부하 48 KW, 전부하시 부하율 약 8 %정도 감소하여 1일 연료소모량 FOC는 하루 평균 222[L/day]의 기름이 절약됨을 알 수 있었다. 또한 학생 선실(Cadet No. 21)은 기관실의 전열로 인해서 온도가 높게 나타났는데, 이것은 공기조화 설계 시 취출구 개수 및 전열부하를 고려하지 못한 결과로 판단된다.

본 연구에서는 선박의 중앙집중 공조시스템에 공랭식 에어컨(전기히터 내장형)을 직접 설치하여 성능을 개선시킨 공기조화시스템으로 운전하였을 경우의 난방 성능을 비교하고, 선실의 온열환경에 대한 실측조사를 통해서 향후 선박용 공기조화 설계 및 계획에 경험적 기초참고자료로 활용하고자 하는 것이다. 연구결과 동일한 외기조건에서 기존의 중앙집중 방식 공조시스템과 개선된 공조시스템으로 운전하였을 경우..

La1-xSrxMnO3(LSM,0≤x≤0.5) powders as the air electrode for solid oxide fuel cell were synthesized by a glycine-nitrate combustion process. The powders were then examined by X-ray diffraction(XRD) and scanning electron microscopy (SEM). The as-formed powders were composed of very fine ash particles linked together in chains. X-ray maps of the LSM powders milled for 1.5 h showed that the metallic elements are homogeneously distributed inside each grain and in the different grains. The powder XRD patterns of the LSM with x< 0.3 showed a rhombohedral phase; the phase changes to the cubic phase at higher compositions(x≥0.3) calcined in air at 1200˚C for 4 h. Also, the SEM micrographs showed that the average grain size decreases as Sr content increases. Composite air electrodes made of 50/50 vol% of the resulting LSM powders and yttria stabilized zirconia(YSZ) powders were prepared by colloidal deposition technique. The electrodes were studied by ac impedance spectroscopy in order to improve the performance of a solid oxide fuel cell(SOFC). Reproducible impedance spectra were confirmed using the improved cell, which consisted of LSM-YSZ/YSZ. The composite electrode of LSM and YSZ was found to yield a lower cathodic resistivity than that of the non-composite one. Also, the addition of YSZ to the La1-xSrxMnO3 (0.1≤x≤0.2) electrode led to a pronounced, large decrease in the cathodic resistivity of the LSM-YSZ composite electrodes.

The air blowers for fuel cell electric vehicle usually have big difference between inlet and outlet pressure. When the casing of the air blowers is designed, the stress analysis is required. (Approximately Inlet pressure is 0.5bar and outlet pressure is 2bar.) Gap distance between the casing and the impeller is 0.3mm. Therefore, if the amount of maximum deformation of casing is larger than 0.3mm, impeller crashed the casing. In order to avoid crashing, both the thickness and number of rims are changed and carried out simulations on each cases.

This study investigates experimentally Air-fuel ratio feedback control with a fuel valve in a LPG engine. The fueling valve is controlled by electronic control unit which is made with micro computer. Various control logics are employed and then PID control is adopter as a proper logic for own system and Air-fuel ratio feedback control by PID control was experimentally of various operation area with the stable control algorithm of PID control that was earned from the former experiment. On the process the experiment, determination experiment of each control part coefficient was the biggest variable among the whole result of experiment. We could know as a result of experiment that the lange of overshoot is bigger as the proportional control part os bigger integral control part is related with the delay time and coefficient of differential control part is related with the decrease of overshoot range from the experiment of various operation area we could also analyse consequently that direct fuel control in the fuel value makes more stable control status in rare operation and low load area.

50/50 vol% LSM-YSZ (La1-xSrxMnO3-yttria stabilized zirconia)의 복합공기극이 콜로이드 증착법에 의해 연마된 YSZ 전해질상에 증착되었다. 그 전극 특성은 주사전자현미경, X선회절과 임피던스 분석기에 의해 연구되어졌다. 900˚C에서 공기/LSM -YSZ/YSZ/Pt/공기 셀에 대해 측정된 전형적인 임피던스 스펙트럼들은 2개의 불완전한 호(depressed arc)로 구성되었다. LSM 전극에 대한 YSZ의 첨가는 전극내의 삼상계(TPB) 영역을 증가시켰으며, 이것이 LSM-YSZ 복합공기극의 비저항을 감소시켰다. 또한 전해질 표면의 불순물 제거와 TPB 길이의 증가를 위한 전해질 표면연마는 공기극의 비저항을 훨씬 더 감소시켰다. LSM-YSZ 공기극의 비저항은 작동온도, 공기극의 조성과 입자크기, 인가전류 및 전해질의 표면거칠기에 의해 큰 영향을 받았다.

50/50 vol% LSM-YSZ의 복합공기극(LSM=La1-xSrxMnO3(0≤x≤0.5))이 콜로이드 증착법에 의해 준비으며 주사전자현미경과 임피던스 분석기에 의해 연구되어졌다. 재현성있는 임피던스 스펙트럼들이 LSM-YSZ/YSZ/LSM-YSZ로 구성된 향상된 셀을 사용함으로써 얻어졌다. 이러한 셀들의 임피던스 스펙트럼들은 작동온도에 강하게 영향을 받았으며, 가장 안정된 조건은 900˚C에서 도달되어졌다. 900˚C에서 공기//공기 셀에 대해 측정된 전형적인 임피던스 스펙트럼들은 2개의 불완전한 호(depressed arc)로 구성되었다. LSM전극에 대한 YSZ의 첨가는 LSM-YSZ 공기극의 저항 감소를 가져왔으며, 전해질 표면의 불순물의 영향을 제거하기 위한 연마는 공기극 저항을 더욱 감소시켰다. 또한 촉매층(Ni 혹은 Sr)을 가진 LSM-YSZ 전극은 촉매층이 없는 경우에 비해 공기극 저항의 감소를 가져왔다. LSM-YSZ 공기극 저항은 전극조성, 전해질의 형태, 인가 전류에 의해 영향을 받았다.