• Journal of Energy Engineering
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• v.22 no.2
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• pp.211-225
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• 2013

To run an optimal operation of Integrated energy supply facilities, we need to analyze heat consumption patterns of District heating users and derive optimum and maximum load ratio of heat production facilities unit. This study selects three District heat production facilities. It also classifies District heating users into residential apartment buildings and eight non-residential buildings and analyzes heat consumption results for an year. Finally it carries out the analysis of how the ratio change of each type affects maximum load ratio, facility utilization ratio, heat supply range. According to this study, three different District heat facilities of residential apartment building show similar daily and annual heat consumption patterns. Annual average load ratio, maximum load ratio and annual heat demand increase as outdoor temperatures decrease. Non-residential buildings in urban District focused on apartment buildings display similar by the daily and annual heat consumption patterns. Yet their daily and annual maximum load ratio differ according to outdoor temperature, District, building types and their composition ratio. In the case of urban District focused on apartment buildings reach optimum and maximum load ratio when apartment buildings reaches 60-70% of the total. At that point heat supply range becomes maximized and the most economic efficiency is obtained.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.16 no.6
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• pp.385-391
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• 2023

As the use of electric vehicles has increased to minimize carbon emissions, the analyzing the state and performance of lithium-ion batteries that is instrumental in electric vehicles have been important. Comprehensive analysis using not only the voltage, current and temperature of the battery pack, which can affect the condition and performance of the battery, but also the driving data and charging pattern data of the electric vehicle is required. Therefore, a thorough analysis is imperative, utilizing electric vehicle operation data, charging pattern data, as well as battery pack voltage, current, and temperature data, which collectively influence the condition and performance of the battery. Therefore, collection and preprocessing of battery data collected from electric vehicles, collection and preprocessing of data on driver driving habits in addition to simple battery data, detailed design and modification of artificial intelligence algorithm based on the analyzed influencing factors, and A battery analysis and evaluation model was designed. In this paper, we gathered operational data and battery data from real-time electric buses. These data sets were then utilized to train a Random Forest algorithm. Furthermore, a comprehensive assessment of battery status, operation, and charging patterns was conducted using the explainable Artificial Intelligence (XAI) algorithm. The study identified crucial influencing factors on battery status, including rapid acceleration, rapid deceleration, sudden stops in driving patterns, the number of drives per day in the charging and discharging pattern, daily accumulated Depth of Discharge (DOD), cell voltage differences during discharge, maximum cell temperature, and minimum cell temperature. These factors were confirmed to significantly impact the battery condition. Based on the identified influencing factors, a battery analysis and evaluation model was designed and assessed using the Random Forest algorithm. The results contribute to the understanding of battery health and lay the foundation for effective battery management in electric vehicles.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2009.10a
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• pp.215-216
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• 2009

By growing the capacity of container in the world, main container terminal in countries introduces the automated container equipments and try to improve the productivity for handling the container. ARMC(Automated Rail Mounted Crane) is installed in automated container terminal and expected the high efficiency of productivity by using minimum-time control method. However recently by the GREEN Port policy, high energy efficiency method for container equipments is importance issue in ports. In this paper, the 3-dimensional modelling of AMRC is discussed and the acceleration characteristics for ARMC is analyzed By using the results of this paper, the advanced controller for the crane will be developed in future.

• The Transactions of the Korean Institute of Power Electronics
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• v.9 no.5
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• pp.430-437
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• 2004

This thesis proposes novel SRP-PWM(Separately Random Pulse Position PWM) techniques and novel two-phase switching pattern applied to four-switch inverter, having various advantages such as operation time decrease that is required for decrease of switching damage, easy of implementation and inverter control at high frequency switching. In this thesis, we wish to confirm that SRP-PWM techniques disperse harmonic spectrum of inverter output current evenly into wide frequency area, that is, side-band of specification frequency. And we confirm the harmonic reduction effect of proposed techniques. Therefore, we will achieve an experiment by IGBT inverter using DSP and will verify the validity of proposed techniques compared with simulation results that use MATLAB/SIMULINK.

• Proceedings of the KIEE Conference
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• 2007.11b
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• pp.217-219
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• 2007

GIS 부분방전 진단 시스템은 가스 절연개폐장치(GIS: Gas Insulated Switchgear) 내부에서 발생하는 UHF 대역의 부분방전 신호를 측정하며 이상신호가 발생하면 위상에 대한 부분방전 패턴을 분석하고 원인을 진단한다. 이러한 GIS 부분방전 진단 시스템은 다수의 변전소에 설치되어 운전되며 중앙제어센터에서 통합하여 관리하고자 할 경우 네트워크와 데이터베이스에 병목현상이 발생한다. 이에 본 논문에서는 Web을 통한 시스템의 분산화와 정보의 구분을 통한 정보의 분류로 병목현상을 줄이는 Web기반 GIS 부분방전 진단 시스템의 개발에 대하여 기술하고자 한다.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2004.05a
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• pp.991-996
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• 2004

The international competition in refrigerator markets has continuously required the research for sound quality of a refrigerator to improve the quality of a life. In this paper, A new method for evaluation of the sound quality of a refrigerator is developed based on human sensibility engineering by using ANN(Artificial neural network). Finally it is applied to evaluate the sound qualify of refrigerator on the production line.

• Proceedings of the KIEE Conference
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• 2007.07a
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• pp.1434-1435
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• 2007

UHF 센서를 사용한 GIS의 절연결함 패턴분석 및 위치판독에 대한 많은 연구가 이루어지고 있으나, 후자의 경우 GIS Bus bar의 형태에 의한 전자파의 전달속도를 고려한 결과들은 아직 보고된바 없다. 본 논문은 이러한 관점에서 부분방전 신호검출용 광대역 센서를 Fat-Dipole를 변형시켜 가장 넓은 대역을 얻도록 설계 제작하였으며, GIS Bus bar 내에서 발생하는 부분방전 신호의 전달 속도 계산결과 이론치의 약 2/3 정도였다. 또한 개발된 방법의 현장적용 가능성을 확인하기 위하여 자체 설계 제작한 외장형 UHF 센서를 중부발전소에서 운전중인 GIS에 부착하여 절연결함 위치를 추정 후 해체 작업을 통하여 확인한 결과 추정된 위치에서 결함이 발견되어 개발된 방법의 신뢰성을 입증하였다.

• Proceedings of the KIPE Conference
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• 2010.11a
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• pp.308-309
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• 2010

다중동력시스템용 전기자동차의 구동에 있어 부하가 적은 경우 한 대의 모터로만 운전을 하고, 경사로의 등판이나 화물의 양이 증가해 부하가 커지는 경우 하나의 엑슬에 결합된 두 개의 IPMSM모터를 사용하여 병렬형 인버터로 제어한다. 본 논문에서 개발한 인버터는 벡터제어 알고리즘 및 레졸버 위치센서를 적용하여 설계하였고 인버터 2개를 병렬 연결하여 Master와 Slave로 나눠 최적화 부하 분담 패턴으로 제어되도록 구현하였다. 제안된 제어기의 특성분석을 위해 PSIM시뮬레이션을 수행하였고, 제안된 방법의 유용성을 검증하였다.

• Science of Emotion and Sensibility
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• v.14 no.4
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• pp.571-580
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• 2011

The purpose of this study was to evaluate the effects of secondary task such as sending text message (STM) and searching navigation (SN) using the variable indicating control of vehicle ((Medial-Lateral Coefficient of Variation, MLCV), (Anterior-Posterior Coefficient of Variation, APCV)) and motion signal (Jerk-Cost function, JC). Participants included 50s taxi drivers; 14 males and 14 females. Participants were instructed to keep a certain distance (30m) from the car ahead with constant speed (80km/hr or 100km/hr). Experiement consisted of driving alone for 1minute and driving with secondary task for 1minute. Both MLCV and APCV were significantly increased during Driving + Sending Text Message(STM) and Driving + Searching Navigation(SN) than Driving only. Also, JC was increased during Driving + STM and Driving + SN than Driving only. In this study, we found that even in the experts group who are taxi driver and have 25 years driving experience, the smoothness of motion is decreased and the control of vehicle is disturbed when they were performing secondary tasks like sending text message or searching navigation.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.34 no.3
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• pp.263-271
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• 2010

e-Printing is a new manufacturing technology for electronic products and is based on traditional printing technology. The electronic products require a large area to facilitate printing and to be economical. A gravure printing system that supports a roll to roll (R2R) manufacturing process can be used to reduce the cost and to achieve the required accuracy. Many factors such as drying method, drying temperature, tension,-printing velocity, ink viscosity, ink conductivity, pattern accuracy, and dot geometry influence the performance of printed electronics. These factors are closely interrelated. The optimum condition for printing must be determined to enhance the performance of the printed electronics. In this study, lines and areas are printed using a gravure printer with conductive ink under different conditions of the above mentioned factors. The results are analyzed to investigate the influence of various factors on the performance of the printed electronics.