변전소 구조물 내부에 설치되는 전력설비의 내진설계 시 사용되는 변수인 가속도 증폭계수는 미국, 일본과 국내의 변전소 내진설 계기준에서 제시되어 있다. 국내 설계기준에 제시된 가속도 증폭계수는 미국, 일본의 설계기준에서 제시된 계수와는 달리 변전소 구조물의 층수가 4층 이상일 경우에는 동적해석을 수행하여 가속도 증폭계수를 구하게 되어 있다. 국내의 변전소 구조물은 대부분 층수가 4~5층이므로 기존의 가속도 증폭계수는 실제 변전소 구조물에 적용하기에 미흡한 상황이다. 국내 변전소 구조물 형식에 적합한 가속도 증폭계수를 제시하기 위하여 대표적인 7가지 구조형식의 변전소 구조물에 대하여 가속도 증폭계수를 평가하였다. 가속도증폭 계수는 변전소 구조물에 대하여 원거리 지진과 근거리 지진을 사용하여 내부-구조물 응답스펙트럼을 작성하여 이로부터 평가하였다. 미국, 일본 전력설비 내진설계 기준에 따른 각각의 가속도 증폭계수 αj, αA는 근거리 및 원거리 지진을 사용한 동적 해석으로 구한 가 속도 증폭계수에 비하여 다소 과대평가하는 경향이 있다.

In this study, we proposed a model for forecasting power energy demand by investigating how outside temperature at a given time affected power consumption and. To this end, we analyzed the time series of power consumption in terms of the power spectrum and found the periodicities of one day and one week. With these periodicities, we investigated two time series of temperature and power consumption, and found, for a given hour, an approximate linear relation between temperature and power consumption. We adopted an exponential smoothing model to examine the effect of the linearity in forecasting the power demand. In particular, we adjusted the exponential smoothing model by using the variation of power consumption due to temperature change. In this way, the proposed model became a mixture of a time series model and a regression model. We demonstrated that the adjusted model outperformed the exponential smoothing model alone in terms of the mean relative percentage error and the root mean square error in the range of 3%~8% and 4kWh~27kWh, respectively. The results of this study can be used to the energy management system in terms of the effective control of the cross usage of the electric energy together with the outside temperature.

본 연구는 전기자동차 충전시스템에서 전력변환장치의 경량화를 위한 최적화 분석프로세스에 대한 내용을 서술하였다. 최적화 설계는 재료 물성치에 대한 설계민감도와 수학적 최적화를 결합하여 주어진 재료량 제한조건 하에 최적의 재료분포를 찾는 설계기법으로 위상의 고정화, 자유도가 묶이는 문제 등을 해결할 수 있는 위상 최적화방법을 사용하였으며, 위상 최적화 방법 중 비교적 수식화가 간단하고 수렴성이 좋은 SIMP법(solid isotropic material with penalization)에 의해 경량화 설계를 수행하였다. 경량화 설계는 3단계의 절차로 구성하였으며, 첫 번째 단계로 전력변환장치의 기본 설계에 대한 유한요소모델을 구성하고, 하중에 대한 정적해석을 수행하였다. 두 번째 단계로 정적해석 결과에 대해 등방성 재료의 강성계수를 적용한 밀도법을 이용하여 위상 최적화를 수행하여 경량화를 위한 최적 형상을 도출하였다. 세 번째 단계로 최적 형상에 대해 차량 탑재 부품의 충격시험기준에 만족하는 반정현파 펄스형태 충격하중을 인가하여 충격해석을 수행하였다. 위상 최적화단계에서 사용 환경조건으로 설계영역 정의는 마운팅 브래킷 영역으로 제한하였으며, 마운팅 브래킷의 설계 최적화를 통해 최종적으로 기본설계대비 20%이상의 경량화가 가능한 설계기술을 확보하였다.

In this study, we have defined measurement and verification methods and procedures to assess the energy use on the utility system of building. Time series data conversion methods and algorithms have been proposed in performance evaluation options. To verify the feasibility of the method, the energy consumption of the refrigerator, which was an energy utility, was measured and analyzed. we present an algorithm based on the annual base conversion and analyze it based on actual data. As a result, a k-means clustering moving average method was defined for the performance calculation option A, and the use time correction coefficient method was proposed. The validity of this method was verified through the verification.

본 연구는 가정용 냉장고를 대상으로 냉동실과 냉장실의 설정온도를 각기 달리할 경우 냉동실과 냉장실 고내의 온도를 실측하여 냉장고 식품 보관 온도분포를 추정하고자 한다. 또한, 각 실의 설정온도를 중심으로 상하로 온도차가 얼마나 큰가를 파악하고, 설정온도로 회복하는데 소요되는 시간을 파악하고자 한다. 그리고 설정된 온도로 회복하기 위해 소비하는 전력량을 측정함으로서 가정용 냉장고의 최적 설정조건을 제시하고자 한다. 그 결과, 냉동실 온도가 –18℃를 실현한 조건은 Case 3, Case 6, Case 8, Case 9로 냉동실 조건보다는 냉장실의 설정온도를 저온으로 할 경우에만 냉동실의 온도가 적정온도를 나타냈다. 이 조건에서 냉장실의 온도는 최저 –1.1℃, Case 6은 –1.5℃, Case 8은 –1.1℃, Case 9는 –0.8℃로 영하의 온도를 보였다. 또한 각 케이스의 운전시작 10시간 동안 누적소비전력량은 Case 4를 제외하고는 냉동실 및 냉장실의 설정온도가 낮을수록 컸으며, Case 4는 운전시작이 13:30분에 시작되었기에 09시경에 운전을 시작한 다른 조건보다는 낮시간의 환경온도가 높은 이유로 전력소비가 크다는 것을 확인하였다.

The ultimate goal of this development is a hybrid solar energy storage device. It supplies stable power to the load due to the emergency generator that compensates for the power shortage due to solar power generation. We have developed a stand-alone photovoltaic power generation and energy storage system with a dual inverter that extends the performance life of the PV system. It solves the problem of shortening the lifespan of battery due to repetition of charge / discharge of PV system and supplies stable power to load due to emergency generator that compensates for power shortage due to solar power generation, and furthermore, A stand-alone photovoltaic power generation system having a dual inverter for extending the life span and a control method thereof. We have also developed an optimized energy solution that enables us to save and use the remaining surplus power in the ESS to save energy through efficiency, optimization and substantial energy savings.

In this study, we utilize the cross and partial correlation analyses in order to investigate the dependence of power energy consumption on the temperature. To this end, we use a time series data that consists of three attributes : an hourly measured electric power consumption, temperature, and humidity. We, in particular, divide the yearly data into monthly base, and estimate the cross correlation coefficients between all possible pairs of attributes for each monthly based data. We found that temperature and power consumption are negatively correlated in the winter; positively correlated in the summer. A similar trend was found between humid and power consumption. This implies that when temperature or humidity is relatively high or low, the power consumption increases due to the cooling and heating system at work. In contrast, the correlation between temperature and humid behaves differently from those between temperature and power consumption. These results can be used to effectively manage the power system.

In this paper, we propose an Elman recurrent neural network to predict and analyze a time series of power energy consumption. To this end, we consider the volatility of the time series and apply the sample variance and the detrended fluctuation analyses to the volatilities. We demonstrate that there exists a correlation in the time series of the volatilities, which suggests that the power consumption time series contain a non-negligible amount of the non-linear correlation. Based on this finding, we adopt the Elman recurrent neural network as the model for the prediction of the power consumption. As the simplest form of the recurrent network, the Elman network is designed to learn sequential or time-varying pattern and could predict learned series of values. The Elman network has a layer of “context units” in addition to a standard feedforward network. By adjusting two parameters in the model and performing the cross validation, we demonstrated that the proposed model predicts the power consumption with the relative errors and the average errors in the range of 2%~5% and 3kWh~8kWh, respectively. To further confirm the experimental results, we performed two types of the cross validations designed for the time series data. We also support the validity of the model by analyzing the multi-step forecasting. We found that the prediction errors tend to be saturated although they increase as the prediction time step increases. The results of this study can be used to the energy management system in terms of the effective control of the cross usage of the electric and the gas energies.

We demonstrated a CNT synaptic transistor by integrating 6,6-phenyl-C61 butyric acid methyl ester(PCBM) molecules as charge storage molecules in a polyimide(PI) dielectric layer with carbon nanotubes(CNTs) for the transistor channel. Specifically, we fabricated and compared three different kinds of CNT-based synaptic transistors: a control device with Al2O3/PI, a single PCBM device with Al2O3/PI:PCBM(0.1 wt%), and a double PCBM device with Al2O3/PI:PCBM(0.1 wt%)/PI:PCBM(0.05 wt%). Statistically, essential device parameters such as Off and On currents, On/Off ratio, device yield, and longterm retention stability for the three kinds of transistor devices were extracted and compared. Notably, the double PCBM device exhibited the most excellent memory transistor behavior. Pulse response properties with postsynaptic dynamic current were also evaluated. Among all of the testing devices, double PCBM device consumed such low power for stand-by and its peak current ratio was so large that the postsynaptic current was also reliably and repeatedly generated. Postsynaptic hole currents through the CNT channel can be generated by electrons trapped in the PCBM molecules and last for a relatively short time(~ hundreds of msec). Under one certain testing configuration, the electrons trapped in the PCBM can also be preserved in a nonvolatile manner for a long-term period. Its integrated platform with extremely low stand-by power should pave a promising road toward next-generation neuromorphic systems, which would emulate the brain power of 20W.

Shape optimization is needed to enhance the performance or efficiency of many industrial products, for instance, such as small-scale electric parts, automotive design and so on. In, especially, small-scale apparatus with heat transfer, it is not easy to decide optimal shape of apparatus. Therefore, the shape of power auxiliary apparatus in automotive engine was investigated using numerical analysis which includes k- model and unsteady state. The relations between temperature and heat transfer were simulated in case of 3 Type and 3 Point for power auxiliary apparatus. As the results, the heat transfer was decreased due to flow recirculation in case of Type-1. Further high temperature did not always mean high heat transfer when the shape interacted with surrounding fluid.

High voltage electric power transmitter GIS(Gas Insulated Switchgear) above 72.5kV needs to satisfy domestic Korean peninsular standard(ES-6110-0002) in KEPCO with respect to normal and special operation conditions which include internal gas pressure, dead weight, wind and seismic load. Some other requirements not described in Korean standard can be applied from other international standards such as IEC(International Electronical Committee) 62271-203 and 62271-207. The GIS is a kind of pressure vessel structure made of aluminum and filled with SF6 gas of internal pressure 0.4～0.5MPa. Finite element analysis of GIS is performed with such operational loads including seismic loading and the stability and reliability is determined according to ASME BPVC(Boiler and Pressure Vessel Code) SEC. VIII standard where the allowable stress level of the pressure vessel is suggested. The result shows that the stress of GIS is satisfied the allowable stress level and the safety factor is about 2.3 for Korean peninsular standard.

본 연구에서는 공급수의 Blending 및 ERD 적용을 통해 역삼투 공정의 소비전력량을 비교 분석하였다.

Numerical analysis using k-ε model of unsteady state was performed to decide the optimal shape of power auxiliary apparatus in automotive engine. In order to obtain auxiliary electric power using coolant in automotive engine, shapes of 3 Types were compared. Furthermore to achieve the confidence of numerical analysis, the results of numerical analysis was compared with those of experiment. As the results, it showed that accuracy of numerical analysis was about 85~98%. Further the optimal shape, in this study, was Type-1, which had outer rounding R32.5, among 3 Types.

Pressure retarded osmosis (PRO) processes can be implemented on a number of water types, using different technologies and achieving various power outcomes. In this study, Sewage facility effluent was used for feed solution of PRO and synthetic NaCl water for draw solution. This study was conducted to investigate effect of water quality of pretreatment on power density and flux decline in PRO process. The results show that organic and particulate foulants have to be removed for more stable operation. Flourescence technique with EEM enables to investigate the chemical properties of aquatic organic matter by extracting spectral information. Humic/fulvic matters and soluble microbial by-products were analyzed as the most affecting factors on the PRO performance. As a result of analyzing the whole system based on the energy consumption of the unit process, specific energy consumption(SEC) of the applicable technology for PRO pre-treatment should be about 0.2 kWh/m3 or less.

동절기에 공정육묘장에서 난방 에너지 절감과 우량묘 생산을 위해 나노탄소섬유적외선 난방등(NCFIHL, nanocarbon fiber infrared heating lamp)의 적정 전력과 설치 높이를 구명하는 것이 본 연구의 목적이다. 벤로형 유리 온실 내부에 수박 접목묘를 재배하기 위해 700과 900W NCFIHL을 육묘 베드(1.2 × 2.4m)에서 0.7, 1.0, 및 1.3m 높이로 각각 설치하였다. 수박(Citrullus lanatus (Thunb.) Manst.) ‘지존꿀’과 박(Lagenaria leucantha Rusby.) ‘선봉장’은 각각 접수와 대목으로 사용되었다. 접수와 대목은 편엽합접 방식으로 접목되었다. NCFIHL의 광도는 모든 처리에서 1μmol·m-2·s-1 이하였다. NCFIHL의 광분포는 대부분 적외선 영역에서 나타났다. 외기온도가 10oC 이하일 때 700과 900W NCFIHL을 0.7m 높이로 설치한 처리구와 900W NCFIHL을 1.0m 높이로 설치한 처리에서 야간 설정온도(20oC)를 유지하였다. 열화상 촬영에서는 900W NCFIHL을 0.7m 높이로 설치한 처리에서 가장 빨리 식물체의 온도가 올라갔다. Compactness는 700W NCFIHL을 1.3m 높이로 설치한 처리에서 우수하였다. 결과적으로 700W NCFIHL을 1.0m 이상으로 설치하는 것이 바람직하다고 판단된다.

해양구조물에 전기 안전사고가 급증하면서 전력시스템 고조파 분야가 최근 많은 관심 받고 있다. 이것은 주로 비선형 (또는 고조파 생성) 부하가 일반적인 산업플랜트 전력시스템에서 계속 증가되고 있기 때문이다. 해양플랜트에서는 전력시스템의 안전설계로 인하여 고조파 문제의 발생률은 낮지만, 고조파 문제에 대한 인식은 전력시스템 설계의 신뢰성을 향상시키는데 여전히 도움이 될 수 있다. 전력시스템에 고조파 문제가 드물게 발생되는 경우, 이는 생성된 고조파의 크기 혹은 전력시스템의 공진 때문이다. 이 고조파 비교분석에 관한 연구는 전력부하를 고려한 부유식 액화천연가스 생산·저장·하역 (FLNG) 설비의 하역 운전 시나리오에 대한 전기적인 구성으로 비교분석하였다. 전기적인 네트워크 구성은 전기적인 네트워크 부하 흐름에서 볼 수 있다. 본 연구는 해양플랜트 전력시스템의 안전을 보장하기 위해 전기 모터 시스템의 고조파 효율에 초점을 맞추어 전력시스템 성능을 시뮬레이션을 통해 검증하였다. 또한, 본 연구의 설계분야에서도 운전 및 유지·보수의 향상시키기 위해 FLNG 설비의 전력시스템을 분석하였다.