• Transactions of the Korean hydrogen and new energy society
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• v.28 no.4
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• pp.407-418
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• 2017

Battery heat management is essential for high power and high energy battery system because it affects its performance, longevity, and safety. In this paper, we investigated the temperature of the 18650 Lithium Ion Battery Module used in a Energy Storage System (ESS) and the cooling method to minimize cell-to-cell temperature variation of battery module. For uniform temperature distribution within a battery module, the flow direction of the coolant in a battery module has been changed according to the time interval, and studied the effect of the cooling method on the temperature uniformity in a battery module which includes a number of battery cells. The experimental results show that bi-directional battery cooling method can effectively reduce the cell-to-cell temperature variation compared with the one-directional battery cooling. Furthermore, it is also found that bi-directional battery cooling can reduce the maximum temperature in a battery module.

• Journal of Energy Engineering
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• v.14 no.4 s.44
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• pp.213-218
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• 2005

In order to understand the heat and mass transfer characteristics of humid airflow in frosting conditions, a flat plate of aluminum with cooling modules located in the central part of the plate was used. A microscope system (resolution of 0.05 mm) was used for the measurement of local thickness of frost at seven points along the plate in the flow direction. For the total mass of frost at each test operation, an electronic balance (resolution of 1 mg) was used. The local frost thickness distributions far various test conditions were presented along with the frost mass data measured at the given operating times. The effect of humidity and velocity of humid air on frosting were analyzed.

• The KIPS Transactions:PartA
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• v.11A no.7 s.91
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• pp.529-536
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• 2004

Smart homes integrated with sensors, actuators, wireless networks and context-aware middleware will soon become part of our daily life. This paper describes a context-aware middleware providing an automatic home service based on a user's preference. The context-aware middle-ware utilizes 6 basic data for learning and predicting the user's preference on the multimedia content : the pulse, the body temperature, the facial expression, the room temperature, the time, and the location. The six data sets construct the context model and are used by the context manager module. The log manager module maintains history information for multimedia content chosen by the user. The user-pattern learning and pre-dicting module based on a neural network predicts the proper home service for the user. The testing results show that the pattern of an in-dividual's preferences can be effectively evaluated and predicted by adopting the proposed context model.

• 한국신재생에너지학회:학술대회논문집
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• 2009.06a
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• pp.45-48
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• 2009

This study evaluated the influence of temperature on the PV module surface on power output characteristics, especially for an amorphous transparent thin-film PV module which was applied to a full-scale mock-up model as building integrated photovoltaic system. The tested mock-up consisted of various slopes of PV module, facing to the south. The annual average temperature of the module installed with the slope of $30^{\circ}$ revealed $43.1^{\circ}C$, resulting in $7^{\circ}C$ higher than that measured in PV modules with the slope of $0^{\circ}$and $90^{\circ}$ did. This $30^{\circ}$ inclined PV module also showed the highest power output of 28.5W (measured at 2 PM) than other two modules having the power output of 20.4W and 14.9W in the same time for $0^{\circ}$ and $90^{\circ}$ in the slope, respectively. In case of the $30^{\circ}$ inclined PV module, it exhibited very uniform distribution of power output generation even under the higher temperature on the module surface. Consequently, the surface temperature of the PV module analyzed in this study resulted in 0.22% reduction in power output in every $1^{\circ}C$ increase of the module surface temperature.

• Journal of the Korean Institute of Gas
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• v.22 no.2
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• pp.29-33
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• 2018

Accident likelihood is growing due to a correlation for gas and electricity installed in the area of dense energy consumption like traditional market and underground shopping center. In order to prevent and respond accident risks related to gas and electricity in this area, it should be monitored and predicted for factors of gas leak or electricity by developing safety management system. This study is about accident prediction model development considering fire risk factor related to gas accident. The temperature variation characteristic near a gas burner was analyzed. Also, accident prediction algorithm and related module were developed to prevent fire in the area of dense energy consumption.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.21 no.1
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• pp.75-81
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• 2007

This paper dealt with the design and implementation of an expert system to monitor and diagnose the lightning arresters in GIS substations. The expert system consists of a data acquisition module(DAM) based on microprocessor and diagnostic algorithms. The DAM measures and analyzes several parameters necessary for the arrester diagnosis such as system voltages, leakage current components, and temperatures. Also, it includes an intelligent surge counter which can record the date and tin, the polarity, and the amplitude of surge currents. All the data acquired is transmitted to a remote computer by a low rate wireless network specified in IEEE 802.15.4 to avoid electromagnetic intereference under high voltage and large current environments. The decision-making for the arrester diagnosis completes with a Java Expert System Shell(JESS) which is composed of a knowledge base, an inference engine and a graphic user interface(GUI).

• Journal of Satellite, Information and Communications
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• v.8 no.3
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• pp.15-19
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• 2013

Lithium-ion batteries have been used for high density energy storage system due to the features such as low self-discharge rate. And the unit cell battery with the voltage less than 4V is recommended to use the series connections for a high voltage charger. When batteries are charged or discharged with series connection, there may be an explosion or degradation of unit cell battery owing to undistributed internal resistance of cell battery. therefore, the voltages of unit cell batteries should be monitored to prevent an overcharging and a deep discharging. This paper introduces the implementation of CVM (Cell Voltage Monitoring) system that can transmit the 12 channel's information including voltages and temperatures with the 12-bits resolutions and the transmission speed of 192 kbps.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.1
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• pp.233-240
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• 2011

A field server was developed by using ubiquitous sensor network technology to monitor the abrupt weather variation in local or mountain area. The data transmissions between deployed field servers in local terrain are very important technology in disaster prevention monitoring system. Weather related information such as temperature, humidity, illumination, atmospheric pressure, dew point and meteorological data are collected from the designated field at a regular interval. The received information from the multiple sensors located at the sensor field is used flooding routing protocol transmission techniques and the sensing data is transferred to gateway through multi-hop method. Telosb sensor node are programmed by nesC language in TinyOS platform to monitor the weather parameters of the local terrain.

• Resources Recycling
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• v.27 no.1
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• pp.22-30
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• 2018

In order to industrially recycle nickel, cobalt and rare earth elements included in waste NiMH batteries, electrode powder scraps were recovered by dismantle, crushing and classification from automobile waste battery module. As a result of leaching recovered electrode powder scrap with sulfuric acid solution, 99% of nickel, cobalt and rare earth elements were leached under reaction conditions of 1.0 M sulfuric acid solution, pulp density 25 g/L and reaction temperature $90^{\circ}C$ for 4 hours. In addition, the rare earth elements were able to separate from nickel / cobalt solution as cerium, lanthanum and neodymium precipitated under pH 2.0 using 10 M NaOH.

• Proceedings of the Korea Water Resources Association Conference
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• 2008.05a
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• pp.704-708
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• 2008

유역 통합 수자원 환경관리 시스템 내의 유출예측모듈인 RRFS를 통한 유출예측결과의 신뢰도 개선을 위해 ESP 기법을 금강유역에 적용하였다. 시나리오를 통해 생성된 유출예측 앙상블을 이용하여 50%의 확률값을 적용하여 본 결과 우리나라의 실정에 맞지 않아 예측의 결과를 적용하기 힘들고 수자원 관리의 정보로서 활용하기 힘들기 때문에 통계적인 분석을 통하여 정확도가 개선된 발생확률을 제시하기 위하여 본 연구를 수행하였다. 금강유역을 용담, 대청, 공주 지점으로 나눈 뒤, 유출량의 확률 예보를 위하여 '83년$\sim$'07년까지 25년간의 강우자료와 온도자료를 RRFS에 적용하여 '07년의 매월 25개의 유출 시나리오를 생성하였다. 생성된 유출 시나리오에서 Case별로 ESP확률을 산정하였다. 통계분석을 통해 얻어진 월별 ESP 확률분포를 이용하여 '02년부터 '07년까지 과거 실측 월별 유출량에 대한 ESP 확률범위를 결정하였고 년강수량의 2/3가 홍수기인 $6{\sim}9$월 사이에 집중되는 우리나라의 특성을 고려해 이수기(1월$\sim$6월 그리고 10월$\sim$12월)와 홍수기(7월$\sim$9월)로 분리한 후 각각에 대한 ESP 확률 값을 최종적으로 결정하였다. Case별로 '07년 금강유역에 적용한 결과, Case 2로 산정된 ESP확률 값이 다른 Case에 비해 더 적합한 것으로 나타났다. Case 1 큰 오차가 나는 ESP 확률을 제외한 평균 ESP확률의 적용, Case 2 월별 최소 오차가 나는 ESP확률의 적용, Case 3 Case2의 월별 ESP확률을 이수기 홍수기로 평균한 ESP확률 적용, Case 4 분기별 최소 오차가 나는 ESP확률의 적용, Case 5 Case4의 분기별 ESP확률을 이수기 홍수기로 평균한 ESP확률의 적용.