• Journal of Energy Engineering
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• v.27 no.2
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• pp.1-13
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• 2018

The proportion of natural gas-fueled power generation is expanding due to the change of domestic energy policy pursuing reduction of dust and increasing clean energy consumption. Natural gas fuels used for the combined-cycle power plants and the district-heating power plants are operated at high temperature and high pressure in the fuel supply system. Accidents due to leakage of the gas such as fire and explosion should be prevented by applying risk management techniques. In this study, risk assessment was performed on the natural gas fuel supply system of a combined power plant based on the API RP 581 RBI code. For the application of the API RBI code, lines and segments of the evaluation target system were identified. Operational data and input information were analyzed for the calculations of probability of failure and consequence of failure. The results of the risk assessment were analyzed over time from the initial installation time. In the code-based evaluation, the gas fuel supply system was mainly affected by thinning, external damage, and mechanical fatigue damage mechanisms. As the operating time passes, the risk is expected to increase due to the external damage caused by the CUI(Corrosion Under Insulation).

• KIPS Transactions on Software and Data Engineering
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• v.6 no.11
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• pp.527-536
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• 2017

With the recent development of smart grid industry, the necessity for efficient EMS(Energy Management System) has been increased. In particular, in order to reduce electric load and energy cost, sophisticated electric load forecasting and efficient smart grid operation strategy are required. In this paper, for more accurate electric load forecasting, we extend the data collected at demand time into high time resolution and construct an artificial neural network-based forecasting model appropriate for the high time resolution data. Furthermore, to improve the accuracy of electric load forecasting, time series data of sequence form are transformed into continuous data of two-dimensional space to solve that problem that machine learning methods cannot reflect the periodicity of time series data. In addition, to consider external factors such as temperature and humidity in accordance with the time resolution, we estimate their value at the time resolution using linear interpolation method. Finally, we apply the PCA(Principal Component Analysis) algorithm to the feature vector composed of external factors to remove data which have little correlation with the power data. Finally, we perform the evaluation of our model through 5-fold cross-validation. The results show that forecasting based on higher time resolution improve the accuracy and the best error rate of 3.71% was achieved at the 3-min resolution.

• Korean Journal of Remote Sensing
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• v.37 no.5_3
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• pp.1405-1423
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• 2021

Precipitation is one of the main factors that affect water and energy cycles, and its estimation plays a very important role in securing water resources and timely responding to water disasters. Satellite-based quantitative precipitation estimation (QPE) has the advantage of covering large areas at high spatiotemporal resolution. In this study, machine learning-based rainfall intensity models were developed using Himawari-8 Advanced Himawari Imager (AHI) water vapor channel (6.7 ㎛), infrared channel (10.8 ㎛), and weather radar Column Max (CMAX) composite data based on random forest (RF). The target variables were weather radar reflectivity (dBZ) and rainfall intensity (mm/hr) converted by the Z-R relationship. The results showed that the model which learned CMAX reflectivity produced the Critical Success Index (CSI) of 0.34 and the Mean-Absolute-Error (MAE) of 4.82 mm/hr. When compared to the GeoKompsat-2 and Precipitation Estimation from Remotely Sensed Information Using Artificial Neural Networks (PERSIANN)-Cloud Classification System (CCS) rainfall intensity products, the accuracies improved by 21.73% and 10.81% for CSI, and 31.33% and 23.49% for MAE, respectively. The spatial distribution of the estimated rainfall intensity was much more similar to the radar data than the existing products.

• The Transactions of the Korean Institute of Power Electronics
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• v.6 no.6
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• pp.538-545
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• 2001

In this paper a gearless drive system using a permanent-maget synchronous motor for high speed elevators is addressed. The application of permanent magnet synchronous motor to an elevator traction machine enables several improvements including higher efficiency better ride comfort smaller size and lighter weight and so on A PWM boost converter has been also adopted so that DC-link voltage regulation bi-directional power flow and controllable power factor with reduced input current harmonics are possible. To increase the reliability and performance of overall control system the unified control board which can include the car and group controller as well as PWN converter/inverter controller has been designed based on a DSP TMS320VV33. In addition the dynamic load simulator system has been developed so that the drive system of high speed elevator can be tested and evaluated without and limitation on ride distance. Some experimental results are given to verify the effectiveness of the developed system.

• Proceedings of the Materials Research Society of Korea Conference
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• 2011.05a
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• pp.48.2-48.2
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• 2011

열전재료는 열과 전기에너지의 상호 변환이 가능한 재료로 이를 이용한 응용제품의 개발이 크게 주목을 받고 있으며, 특히 $Bi_2Te_3$계 합금의 경우 상온에서 가장 우수한 성능지수를 가지는 재료로 많은 연구가 진행되고 있다. 그러나 기존의 $Bi_2Te_3$계 합금은 일방향응고법으로 제조되어 많은 시간과 비용을 필요로 하고, 특히 C축의 Van der Waals 결합으로 인해 기계적 강도가 약하다는 단점이 있었다. 최근 분말야금법을 이용하여 기계적강도를 높이고, 격자산란에 의한 열전도도의 감소로 성능지수를 높일수 있는 방법들이 제시되고 있다. 본 연구에서는 급속응고공정인 가스분무법을 이용하여 n-type의 $95%Bi_2Te_3-5%Bi_2Se_3$분말을 제조하였고, 이 재료의 경우 성형조건에 따라 조직이 쉽게 변하기 때문에 이를 제어하기 위해 단시간동안 고압으로 성형가능한 자기펄스압축성형법(Magnetic Pulsed Compaction)을 이용하여 성형체를 제조하였다. 제조된 성형체는 밀도를 증가시키고 결정립성장을 억제시킬수 있는 방전플라즈마소결법(Spark Plasma Sintering)을 이용하여 소결체로 제조되었으며, 각각의 공정이 열전성능에 미치는 영향을 고찰하였다. OM (Optical Microscope) 및 SEM (Scaning Electric Microscope)을 이용하여 미세구조를 관찰하였고 XRD (X-Ray Diffraction)를 이용하여 상의 변화를 분석하였으며, 상온에서 경도를 측정함으로서 공정조건에 따른 기계적강도를 비교하였다. Seebeck계수는 시편의 양단에 온도차를 주어 발생하는 기전압을 측정하여 계산하였고, 전기비저항은 4point probe방법으로 측정하였다. 전하이동도 및 전하농도는 Hall측정으로부터 구하였고 열전도도를 측정하여 종합적인 열전성능을 평가하였다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.3
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• pp.1795-1800
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• 2014

The temperature change in the biologically activated sludge wastewater treatment process was predicted using the heat transfer model. All incoming and outgoing heats in wastewater treatment processes were considered. Incoming heats included the solar radiation heat, the heat from impeller mechanical energy, and the biochemical heat in the aeration process. Outgoing heats comprised the radiation heat from the waste itself, the heat of vaporization and surface aeration, the wind convection heat and the conduction heat between the surface and aerator. All heats were used as an input to the existing empirical heat transfer model. The heat transfer model of wastewater treatment processes is presented also. To test the validity of the heat transfer model, the operating conditions of the actual wastewater treatment plant were used. The temperatures were compared with the model temperatures. Model predictions were consistent within the $1.0^{\circ}C$.

• Journal of the Korean Society for Nondestructive Testing
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• v.23 no.2
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• pp.156-164
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• 2003

STS316L had been used as the structural material for energy environmental facilities, because austenite stainless steels like 316L have superior mechanical properties of which toughness, ductility, corrosion resistant and etc. However, those welded structures are receiving severe damage due to increasing of the aged degradation. Most studies until now have been carried out against fatigue behaviors of weldments, and were not well studied on nondestructive evaluation methods. In this study, the fatigue crack propagation behavior of STS316L weldment usually used for vessels of the nuclear power plant was investigated. Also, the degradation characteristics of 316L stainless steel weldments were evaluated by the ultrasonic parameter such as ultrasonic velocity, attenuation factor and time-frequency analysis. The results of this study can be used as a basic data for the prediction of the fatigue crack life of weldments structures without disjointing or stopping service of structures in service.

• Journal of the Korean Society for Nondestructive Testing
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• v.19 no.6
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• pp.411-419
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• 1999

It has been well recognized that a long term service at elevated temperature of $350^{\circ}C{\sim}550^{\circ}C$ induces embrittlement damage due to carbide precipitation and/or P, Sb and Sn segregation at grain boundaries and thereby deteriorates the grain boundary strength of heat resisting components in the energy-related plants. Therefore, it is very important to assess quantitatively the extent of embrittlement damage of heat resisting components to secure the reliable and efficient service condition and to prevent brittle failure in service. However, because fracture tests are limited in size and number of specimen obtained from the structural components, nondestructive test method is required. In this study, the optimum electrochemical parameters are investigated and discussed to evaluate nondestructive embrittlement damage for aged 2.25Cr-1Mo steels by means of electrochemical polarization test method (ECPTM) in proper corrosive environment. In addition, the electrochemical test results are compared with embrittlement degree evaluated by semi-nondestructive SP test.

• Proceedings of the Materials Research Society of Korea Conference
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• 2012.05a
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• pp.104.2-104.2
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• 2012

이종 재료의 접합에 대한 연구는 단일 재료에서 얻을 수 없는 물리적/기계적 특성과 이종 재료의 우수한 특성을 얻을 수 있다는 장점이 있어 국내외 적으로 연구가 활발히 진행되고 있다. 이러한 이종 접합 기술은 구조재료와 에너지 변환분야에 가장 많이 사용되고 있으며, 그 외 광촉매와 Thin film, 경량구조재료 등에도 사용되고 있다. 그 중 FGM(Functional Graded Materials)는 조성의 점진적인 변화를 통하여 접합하는 방법으로 이종 재료 접합 시 발생하는 내부 응력을 해소해줌으로써 적합한 방법이라고 할 수 있다. FGM 제작에 사용되는 방법으로 널리 알려진 것들로는 plasma spraying, 원심주조, 분말 야금법, PVD, CVD 그리고 EPD(electrophoretic deposition) 등이 있다. 이중에서 EPD는 수용액이나 유기용매와 같은 분산매체 중에 콜로이드 입자의 표면에 대전되는 전하를 이용하여, 외부에서 전장을 걸어서 입자의 움직임을 제어하는 기술이다 EPD는 코팅 속도가 상대적으로 빠르고 두꺼운 코팅 층 제작이 가능하다. 또한 바인더, 윤활제 또는 가소제를 사용하지 않고 다양한 종류와 모양의 기판 위에 균일한 코팅이 가능하다는 장점이 있다. 본 연구에서는 Ni substrate를 이용하여 그 위에 Ni과 $Al_2O_3$의 조성을 점진적으로 변화시켜 FGM을 EPD 방법으로 코팅하였다. 여기서 사용된 Ni은 높은 녹는점과 좋은 연성으로 인해 성형이 용이하여 구조재료로 적합하며, $Al_2O_3$는 고내열성과 내부식성을 가지며 경도가 높다는 장점이 있다. 본 연구에서는 EPD 방식을 이용하여 Ni/$Al_2O_3$ FGM을 코팅하였으며, 코팅 후 발생하는 substrate와의 접착력 문제를 해결하기 위해서 건조 방식과 substrate의 표면 상태를 최적화하여 다층의 Ni/$Al_2O_3$ FGM을 코팅 및 소결하였다. Zeta-potential 측정을 통해 electrophoretic mobility와 suspension의 분산 안정도를 평가 할 수 있었으며, X-ray 회절 분석(XRD)을 통하여 Ni 의 환원 여부를 확인하였다. 또한 Scanning electron microscopy(SEM) 분석을 통하여 미세구조 분석을 하였고, 최종적으로 Electron Probe Micro Analyzer (EPMA) 를 이용하여 다층 구조의 조성변화를 확인함으로 Ni/$Al_2O_3$의 FGM 코팅이 이루어졌음을 확인하였다.

• Polymer(Korea)
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• v.26 no.1
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• pp.113-120
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• 2002

Electrostriction is the phenomenon that a material is strained due to Maxwell stress developed by the applied voltage. In many electrostrictive materials, especially polymeric elastomers can produce large deformation and force due to their low elastic modulus. In this study, polyurethanes and acrylic rubber with compliant electrodes were used as electrostrictive polymer(EP) actuator. Actuation characteristics of the EP actuators with different physical properties of dynamic modulus and dynamic dielectiric constant were analyzed under AC field. The classical laminate theory was also used to simulate the actuation process in relation to the geometry and the physical properties of the actuators.