• 제목/요약/키워드: electric power rates

검색결과 205건 처리시간 0.026초

레이저유기에 의한 GaAs의 건식에칭 (Laser induced dry etching of GaAs)

  • 박세기;이천;최원철;김무성;민석기;안병성
    • 한국전기전자재료학회:학술대회논문집
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    • 한국전기전자재료학회 1995년도 춘계학술대회 논문집
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    • pp.58-61
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    • 1995
  • 레이저 유기에 대한 GaAs 의 건석에칭에 있어서 기존의 $CCl_4$와CCl$_2$F$_2$ 가스를 에칭하스로 사용하는 대신에 본 연구팀이 새로 개발한 CFCs 대체가스를 사용하여 기존의 가스와의 에칭률과 그 가공된 형태를 비교하였다. 실험은 power 밀도 12.7 MW/$\textrm{cm}^2$에서 27 MW/$\textrm{cm}^2$까지로 가변시키면서 하고 에칭가스의 압력은 260 Torr에서760 Torr 까지 변화를 주면서 하였다. 빔의 주사속도는 8.3$\mu\textrm{m}$/sec에서 80$\mu\textrm{m}$/sec 까지 가변을 시켰다. 그 결과 CHCiF$_2$가스에서의 에칭율(etch rate)은 최대 136$\mu\textrm{m}$/sec이고 aspect ratio 는 2.6 이 됨을 알 수 있었다. 애칭된 형태를 측정하기 위해서 SEM(Scanning Electron Microscopy)을 사용하였으며, 시료 표면의 물질 분석을 위해서 AES(Auger Electron Spectroscopy)를 사용하였다.

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원전 증기발생기 2차측 화학세정을 위한 제동공정중의 전기화학적 거동 및 슬러지용해 거동 (Electrochemical and Sludge Dissolution Behavior During a Copper Removal Process for Chemical Cleaning on the Secondary Side of Nuclear Steam Generators)

  • Hur, Do-Haeng;Chung, Han-Sub;Kim, Uh-Chul;Chae, Sung-Ki;Park, Kwang-Kyoo;Kim, Jae-Pyong
    • Nuclear Engineering and Technology
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    • 제24권2호
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    • pp.154-162
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    • 1992
  • 원전 증기발생기 2차측 화학세정시 두가지 주요 목표는 슬러지 제거를 효과적으로 하는 것과 모재금속의 부식을 최소화하는데 있다. 본 연구에서는 전기화학 실험과 슬러지 용해 실험을 통하여 제동공정 중에 어떤 인자들이 중요한 역할을 하는지 확인하고 외국에서 개발된 두가지 제동공정에 대하여 안전성 측면과 슬러지 제거 효과를 비교. 평가하고자 하였다. 38$^{\circ}C$에서 EDTA, NH$_4$OH. EDA를 사용하는 제동공정에 있어서 $H_2O$$_2$는 구리슬러지 제거에 적합한 전위구역으로 구리의 전위를 높여주는데 매우 효과적이었다. 이런 전위구역에서 SA 285 Grade C와 Alloy 600 재료의 부식속도는 매우 작았다. 그러나 전위가 -450 mV 이하로 유지될 때 SA 285 Grade C 재료의 부식속도 증가가 예상된다. 6$0^{\circ}C$에서 EDA, (NH$_4$)$_2$CO$_3$를 사용하는 공정은 구리의 부식전위가 -200 mV이상으로 유지될 때 효과적인 제동이 가능하였으나 전위를 공기주입과 용액교반으로 이 구역으로 올리기는 매우 어려웠다.

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제주지역 지하공기를 이용한 농업시설용 히트펌프시스템의 난방 성능 분석 - 제주지역을 중심으로 - (The Analysis of heating performance of heat pump system for agricultural facility using underground air in Jeju area - Focused on the Jeju Area -)

  • 강연구;임태섭
    • KIEAE Journal
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    • 제16권6호
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    • pp.109-114
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    • 2016
  • Purpose: The underground air is the warm air discharged from the porous volcano bedrock 30-50m underground in Jeju, including excessive humidity. The temperature of the underground air is $15-20^{\circ}C$ throughout the year. In Jeju, the underground air was used for heating greenhouses by supplying into greenhouses directly. This heating method by supplying the underground air into greenhouses directly had several problems. The study was conducted to develop the heat pump system using underground air as heat source for resolving excessive humidity problem of the underground air, adopting the underground air as a farm supporting project by Ministry of Agriculture, Food and Rural Affairs(MAFRA) and saving heating cost for agricultural facilities. Method: 35kW scale(10 RT) heat pump system using underground air installed in a greenhouse of area $330m^2$ in Jeju-Special Self-Governing Province Agricultural Research & Extension Services, Seogwipo-si, Jeju. The inlet and outlet water temperature of the condenser, the evaporator and the thermal storage tank and the underground air temperature and the air temperature in the greenhouse were measured by T type thermocouples. The data were collected and saved in a data logger(MV200, Yokogawa, Japan). Flow rates of water flowing in the condenser, the evaporator and the thermal storage tank were measured by an ultrasonic flow meter(PT868, Panametrics, Norway). The total electric power that consumed by the system was measured by a wattmeter(CW240, Yokogawa, Japan). Heating COP, rejection heat of condenser, extraction heat of evaporator and heating cost were analyzed. Result: The underground air in Jeju was adopted as a farm supporting project by Ministry of Agriculture, Food and Rural Affairs(MAFRA) in 2010. From 2011, the heat pump systems using underground air as a heat source were installed in 12 farms(16.3ha) in Jeju.

CFD 해석을 적용한 18650 리튬-이온 배터리 팩의 열 해석 신뢰도 기초 분석 (Basic Investigation into the Validity of Thermal Analysis of 18650 Li-ion Battery Pack Using CFD Simulation)

  • 심창휘;김한상
    • 한국수소및신에너지학회논문집
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    • 제31권5호
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    • pp.489-497
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    • 2020
  • The Li-ion battery is considered to be one of the potential power sources for electric vehicles. In fact, the efficiency, reliability, and cycle life of Li-ion batteries are highly influenced by their thermal conditions. Therefore, a novel thermal management system is highly required to simultaneously achieve high performance and long life of the battery pack. Basically, thermal modeling is a key issue for the novel thermal management of Li-ion battery systems. In this paper, as a basic study for battery thermal modeling, temperature distributions inside the simple Li-ion battery pack (comprises of nine 18650 Li-ion batteries) under a 1C discharging condition were investigated using measurement and computational fluid dynamics (CFD) simulation approaches. The heat flux boundary conditions of battery cells for the CFD thermal analysis of battery pack were provided by the measurement of single battery cell temperature. The temperature distribution inside the battery pack were compared at six monitoring locations. Results show that the accurate estimation of heat flux at the surface of single cylindrical battery is paramount to the prediction of temperature distributions inside the Li-ion battery under various discharging conditions (C-rates). It is considered that the research approach for the estimation of temperature distribution used in this study can be used as a basic tool to understand the thermal behavior of Li-ion battery pack for the construction of effective battery thermal management systems.

전기화학적 재활성화 분극시험에 의한 터빈부재의 열화손상 평가 (Degradation Damage Evaluation for Turbine Structural Components by Electrochemical Reactivation Polarization Test)

  • 권일현;백승세;류대영;유효선
    • 대한기계학회논문집A
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    • 제26권7호
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    • pp.1241-1249
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    • 2002
  • The extent of materials deterioration can be evaluated accurately by mechanical test such as impact test or creep test. But it is almost impossible to extract a large test specimen from in-service components. Thus material degradation evaluation by non-destructive method is earnestly required. In this paper, the material degradation for virgin and several aged materials of a Cr-Mo-V steel, which is an candidated as structural material of the turbine casing components for electric power plant, is nondestructively evaluated by reactivation polarization testing method. And, the results obtained from the test are compared with those in small punch(SP) tests recommended as a semi-nondestructive testing method using miniaturized specimen. In contrast to the aged materials up to 1,000hrs which exhibit the degradation behaviors with increased ${\Delta}[DBTT]_{SP}$, the improvement of mechanical property can be observed on the 2,000hrs and 3,000hrs aged materials. This is because of the softening of material due to the carbide precipitation, the increase of ferritic structures and the recovery of dislocation microstructure by long-time heat treatment. The reactivation rates($I_R/I_{Crit},\;Q_R/Q_{Crit}$) calculated by reactivation current densityt ($I_R$) and charge($Q_R$) in the polarization curves exhibit a good correlation with ${\Delta}[DBTT]_{SP}$ behaviors.

열시스템에서 생성된 SO$_{2}$ 가스의 배출저감을 위한 정전기 분무 원리의 응용 (An application of the electrostatic spray technology to increase scrubbing efficiency of SO$_{2}$ emitted from thermal systems)

  • 정재윤;변영철;황정호
    • 대한기계학회논문집B
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    • 제21권8호
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    • pp.1068-1076
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    • 1997
  • Emission control of acid exhaust gases from coal-fired power plants and waste incinerators has become an increasing concern of both industries and regulators. Among those gaseous emissions, SO$_{2}$ has been eliminated by a Spray Drying Absorber (SDA) system, where the exhaust gas is mixed with atomized limestone-water slurry droplets and then the chemical reaction of SO$_{2}$ with alkaline components of the liquid feed forms sulfates. Liquid atomization is necessary because it maximizes the reaction efficiency by increasing the total surface area of the alkaline components. An experimental study was performed with a laboratory scale SDA to investigate whether the scrubbing efficiency for SO$_{2}$ reduction increased or not with the application of a DC electric field to the limestone-water slurry. For a selected experimental condition SO$_{2}$ concentrations exited from the reactor were measured with various applied voltages and liquid flow rates. The applied voltage varied from -10 to 10 kV by 1 kV, and the volume flow rate of slurry was set to 15, 25, 35 ml/min which were within the range of emission mode. Consequently, the SO$_{2}$ scrubbing efficiency increased with increasing the applied voltage but was independent of the polarity of the applied voltage. For the electrical and flow conditions considered a theoretical study of estimating average size and charge of the atomized droplets was carried out based on the measured current-voltage characteristics. The droplet charge to mass ratio increased and the droplet diameter decreased as the strength of the applied voltage increased.

단기 물 수요예측 시뮬레이터 개발과 예측 알고리즘 성능평가 (Development of Water Demand Forecasting Simulator and Performance Evaluation)

  • 신강욱;김주환;양재린;홍성택
    • 상하수도학회지
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    • 제25권4호
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    • pp.581-589
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    • 2011
  • Generally, treated water or raw water is transported into storage reservoirs which are receiving facilities of local governments from multi-regional water supply systems. A water supply control and operation center is operated not only to manage the water facilities more economically and efficiently but also to mitigate the shortage of water resources due to the increase in water consumption. To achieve the goal, important information such as the flow-rate in the systems, water levels of storage reservoirs or tanks, and pump-operation schedule should be considered based on the resonable water demand forecasting. However, it is difficult to acquire the pattern of water demand used in local government, since the operating information is not shared between multi-regional and local water systems. The pattern of water demand is irregular and unpredictable. Also, additional changes such as an abrupt accident and frequent changes of electric power rates could occur. Consequently, it is not easy to forecast accurate water demands. Therefore, it is necessary to introduce a short-term water demands forecasting and to develop an application of the forecasting models. In this study, the forecasting simulator for water demand is developed based on mathematical and neural network methods as linear and non-linear models to implement the optimal water demands forecasting. It is shown that MLP(Multi-Layered Perceptron) and ANFIS(Adaptive Neuro-Fuzzy Inference System) can be applied to obtain better forecasting results in multi-regional water supply systems with a large scale and local water supply systems with small or medium scale than conventional methods, respectively.

가연성 폐기물 고형연료(SRF) 사업의 경제성 분석 (The Economic Analysis of A Solid Refuse Fuel (SRF) Project in the Urban Area)

  • 장은미;조용성
    • 한국기후변화학회지
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    • 제4권3호
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    • pp.245-254
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    • 2013
  • 정부에서는 지구온난화에 따른 이산화탄소 저감 및 자원순환형(Zero Waste) 사회구축을 위해 가연성 폐기물을 대상으로 한 고형연료화 사업을 추진 중에 있다. 본 연구에서는 가연성 폐기물 고형연료(SRF) 사업에 대하여 추가 편익을 고려한 경제성 평가를 실시하였다. 경세성 분석은 수도권매립지에 반입되는 폐기물을 대상으로 한 SRF 시설을 가정하였으며, 비용은 건설비와 운영비를 고려하고, 편익으로는 열 및 전력 판매비, 환경 편익, 매립대체 편익을 고려하였다. 결론적으로 SRF 사업은 환경편익 등 기타 사업시행에 대한 편익을 고려하면 1.0으로 산출되었으며, 이 결과는 전력가격 및 물가변동에 따른 인건비 등에 큰 영향을 받는 것으로 분석되었다. 따라서 SRF 사업의 지속성을 위해서는 정부의 투자비 지원뿐만 아니라, 전력판매에 따른 적정한 정책지원 방향 설정 등이 필요 하다.

WaveNet과 Work Forward Validation을 활용한 시계열 데이터 분석 (Time Series Data Analysis using WaveNet and Walk Forward Validation)

  • 윤협상
    • 한국시뮬레이션학회논문지
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    • 제30권4호
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    • pp.1-8
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    • 2021
  • 복잡하고 비선형적인 특징을 갖는 시계열 데이터를 예측하기 위해 딥러닝 기법이 널리 사용되고 있다. 본 연구에서는 최근에 개발된 WaveNet을 개선하고 워크포워드 검증 기법을 적용하여 전력 소비량 데이터를 24시간 이전에 예측하고자 한다. 원래 WaveNet은 오디오 데이터 예측에 사용하고자 고안되었으며, 장기간의 데이터를 효과적으로 예측하기 위해 1차원 팽창인과 합성곱(1D dilated causal convolution)을 사용한다. 먼저, WaveNet이 부호화된 정수 값이 아니라 실수 값을 출력하여 전력 데이터를 예측하기 적합하도록 개선하였다. 다음으로 학습 과정에 적용된 하이퍼파라미터(입력 기간, 배치 크기, WaveNet 블록 개수, 팽창 비율, 학습률 변경)를 조정하여 적절한 성능을 나타내도록 하였다. 마지막으로 성능 평가를 통해 전통적인 홀드아웃 검증 기법보다 본 연구에서 사용한 워크포워드 검증 기법이 전력 소비량 데이터 예측에 우수함 성능을 나타냄을 확인하였다.

SUMRAY: R and Python Codes for Calculating Cancer Risk Due to Radiation Exposure of a Population

  • Michiya Sasaki;Kyoji Furukawa;Daiki Satoh;Kazumasa Shimada;Shin'ichi Kudo;Shunji Takagi;Shogo Takahara;Michiaki Kai
    • Journal of Radiation Protection and Research
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    • 제48권2호
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    • pp.90-99
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    • 2023
  • Background: Quantitative risk assessments should be accompanied by uncertainty analyses of the risk models employed in the calculations. In this study, we aim to develop a computational code named SUMRAY for use in cancer risk projections from radiation exposure taking into account uncertainties. We also aim to make SUMRAY publicly available as a resource for further improvement of risk projection. Materials and Methods: SUMRAY has two versions of code written in R and Python. The risk models used in SUMRAY for all-solid-cancer mortality and incidence were those published in the Life Span Study of a cohort of the atomic bomb survivors in Hiroshima and Nagasaki. The confidence intervals associated with the evaluated risks were derived by propagating the statistical uncertainties in the risk model parameter estimates by the Monte Carlo method. Results and Discussion: SUMRAY was used to calculate the lifetime or time-integrated attributable risks of cancer under an exposure scenario (baseline rates, dose[s], age[s] at exposure, age at the end of follow-up, sex) specified by the user. The results were compared with those calculated using another well-known web-based tool, Radiation Risk Assessment Tool (RadRAT; National Institutes of Health), and showed a reasonable agreement within the estimated confidential interval. Compared with RadRAT, SUMRAY can be used for a wide range of applications, as it allows the risk projection with arbitrarily specified risk models and/or population reference data. Conclusion: The reliabilities of SUMRAY with the present risk-model parameters and their variance-covariance matrices were verified by comparing them with those of the other codes. The SUMRAY code is distributed to the public as an open-source code under the Massachusetts Institute of Technology license.