• 디지털산업정보학회논문지
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• 제9권1호
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• pp.53-58
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• 2013

In this paper, we proposed low power algorithm for battery residual capacity and a task. Algorithm the mobile devices power of the battery residual capacity for the task to perform power consumption to reduce the frequency alters. Task is different in power consumption according to kinds of in time accomplishment device to use. Adjustment of power consumption analyzes kinds of given tasks from having the minimum power consumption task to having the maximum power consumption task. Control frequency so that power consumption waste to be exposed to battery residual capacity can be happened according to the results analyzed. Experiment the frequency by adjusting power consumption a method to reduce using [7] and in the same environment power of the battery residual capacity consider the task to perform frequency were controlled. Efficiency was proved compare with the experiment results [7]. The experiments results show increment in the number of processing by 45.46% comparing with that [7] algorithm.

• 한국산업융합학회 논문집
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• 제21권5호
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• pp.207-217
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• 2018

Recently, the importance of energy demand management, particularly peak load control, has been increasing due to the policy changes of the Second Energy Basic Plan. Even though the installation of distributed generation systems such as Photovoltaic and energy storage systems (ESS) are encouraged, high initial installation costs make it difficult to expand their supply. In this study, the power consumption of a university building was measured in real time and the measured power consumption data was used to calculate the optimal installation capacity of the Photovoltaic and ESS, respectively. In order to calculate the optimal capacity, it is necessary to analyze the operation methods of the Photovoltaic and ESS while considering the KEPCO electricity billing system, power consumption patterns of the building, installation costs of the Photovoltaic and ESS, estimated savings on electric charges, and life time. In this study, the power consumption of the university building with a daily power consumption of approximately 200kWh and a peak power of approximately 20kW was measured per minute. An economic analysis conducted using these measured data showed that the optimal capacity was approximately 30kW for Photovoltaic and approximately 7kWh for ESS.

• International Journal of Naval Architecture and Ocean Engineering
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• 제11권2호
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• pp.765-781
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• 2019

This study predicts the power consumption of an Electric Propulsion Ship (EPS) in marine environment. The EPS is driven by a propeller rotated by a propulsion motor, and the power consumption of the propeller changes by the marine environment. The propulsion motor consumes the highest percentage of the ships' total power. Therefore, it is necessary to predict the power consumption and determine the power generation capacity and the propeller capacity to design an efficient EPS. This study constructs a power estimation simulator for EPS by using a ship motion model including marine environment and an electric power consumption model. The usage factor that represents the relationship between power consumption and propulsion is applied to the simulator for power prediction. Four marine environment scenarios are set up and the power consumed by the propeller to maintain a constant ship speed according to the marine environment is predicted in each scenario.

• 한국입자에어로졸학회지
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• 제9권3호
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• pp.139-147
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• 2013

The performances of indoor air cleaners including particle cleaning capacity and collection efficiency are usually tested at the condition of the maximum air flow rate of the air cleaners. However, the power consumption of the air cleaners is highly dependent on the air flow rate of the individual air cleaners. Therefore, there seems to be an optimized air flow rate for the air cleaning capacity considering power consumption. In this study, clean air delivery rate(or standard useful area as suggested room size) and power consumption have been investigated for different maximum air flow rates of 15 air cleaners and then compared those for different air flow rate modes of the individual 5 air cleaners selected from the 15 cleaners. For the maximum air flow rate conditions of 15 air cleansers, the power consumption per unit area was less related to the maximum air flow rate. However, for the different air flow rate modes of the selected 5 air cleaners, the lower power consumption per unit area was corresponding to the lower air flow rate mode of the individual air cleaners. When considering the operation time to the desired particle concentrations, there was an optimized one in the medium air flow rate modes for the individual air cleaners. Therefore, not only the maximum air flow rate but also lower air flow rates of individual air cleaners should be considered for estimating air cleaning capacity based on energy consumption per unit area.

• Journal of Advanced Marine Engineering and Technology
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• 제37권5호
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• pp.467-476
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• 2013

동결농축법은 열역학적 효율이 높고 에너지 소비량이 작으며 처리수를 재활용할 수 있는 장점을 가지고 있다. 본 연구에서는 중소규모로 상용화 가능한 동결농축폐수처리시스템을 설계하고, 각 시스템의 에너지 소비효율과 일일처리량을 비교하여 시스템 개발방향을 제안하고자 하였다. 시스템을 완속운전시스템과 급속운전시스템으로 각각 모델링하고 해석을 통해 소비동력과 운전시간을 계산하여 비교한 다음 설계처리량에 따른 변화를 추가 검토하였다. 연구결과 급속운전시스템의 소비전력량비가 0.6 Wh/kg 만큼 다소 높으나 일일처리량은 19 % 증가하였으며, 설계처리량이 큰 시스템일수록 소비전력량비가 작아지고 일일처리량이 큰 결과를 얻었다.

• 조명전기설비학회논문지
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• 제23권6호
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• pp.85-88
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• 2009

업무용 건축물 분야에서의 초에너지절약형 시스템으로의 개선이 절실하다. 사무소용/병원/호텔 건물을 중심으로 시간대별 및 연간 전력사용량 등의 전력소비 특성을 조사하였고, 건물연면적, 계약전력, 최대수요진력 등을 조사 분석하였다. 조사된 자료의 전체 특징과 중심적인 경향을 알아 보기 위해서 평균값, 표준편차, 최대값, 최소값, 부하율 등의 특징파라메터를 분석하였다 이를 토대로 연간 전기에너지 사용 총량과 에너지절약 성능의 관리기준을 나타내는 전력원단위를 분석하였고, 전기에너지 연간 사용총량 산정에 필요한 자료를 데이터베이스화하였다.

• 한국자동차공학회논문집
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• 제11권2호
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• pp.203-210
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• 2003

A simulation study was carried to analyze the vehicle fuel consumption on component basis. Experiments was also carried out to identify the simulation results, under FTP-75 Hot Phase driving conditions. and arbitrary driving conditions. A good quantitative agreement was obtained. Based on the simulation, fuel energy was used in pumping loss(3.7%), electric power generation(0.7%), engine friction(12.7%), engine inertia(0.7%), torque converter loss(4.6%), drivetrain friction(0.6%), road-load(9.2%), and vehicle inertia(13.4%) under FTP-75 Hot Phase driving conditions. Using simulation program, the effects of capacity factor and idle speed on fuel consumption were estimated. A increment of capacity factor of torque converter resulted in fuel consumption improvement under FTP-75 Hot Phase driving conditions. Effect of a decrement of idle speed on fuel consumption was negligible under the identical driving conditions.

• 조명전기설비학회논문지
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• 제25권1호
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• pp.70-77
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• 2011

Sewage treatment plants, consuming 1,756[GWh] which is 0.53[%] of national wide electricity consumption, is one of the electricity consuming facilites. At the research of electricity consumption and power quality analysis on sewage treatment plants, average utilization of transformer was less than 40[%] because peak load was very lower than its capacity due to excess capacity. So reduction of power loss can be achieved by transformer design optimization. The achievement in this research, is to meet reduction of power loss through optimizing the capacity and to improve as high efficiency-low loss transformer while the transformer is operating.

• 디지털콘텐츠학회 논문지
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• 제15권3호
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• pp.433-438
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• 2014

본 논문은 배터리와 태스크를 고려한 저전력 알고리듬을 제안하였다. 제안한 알고리듬은 배터리의 용량과 사용 목표 시간에 따른 단위 시간의 소모 전력을 설정한다. 주어진 모든 태스크들의 소모 전력을 계산한다. 태스크들 중에서 소모 전력이 가장 큰 태스크의 소모 전력과 소모 전력이 가장 작은 태스크의 소모 전력의 평균을 구한다. 태스크의 소모 전력의 평균을 단위 시간을 고려하여 다시 소모 전력을 계산한다. 태스크의 평균 소모 전력의 크기가 계산된 소모 전력의 평균보다 작거나 같을 경우 태스크의 평균 소모 전력보다 큰 태스크 들을 대상으로 저전력을 수행한다. 또한, 태스크의 평균 소모 전력의 크기가 계산된 소모 전력의 평균보다 클 경우 계산된 소모 전력의 평균보다 큰 태스크 들을 대상으로 저전력을 수행한다. 저전력은 태스크의 프로세서와 디바이스의 소모 전력을 분할하여 소모 전력이 큰 부분에 대해 저전력을 수행한다. 실험은 배터리를 고려한 저전력 알고리듬인 [6]과 비교하였다. 실험결과 [6]보다 소모 전력이 감소되어 알고리듬의 효율성이 입증되었다.

• 정보처리학회논문지C
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• 제13C권2호
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• pp.219-226
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• 2006

MANET은 토폴로지의 빈번한 변화에 따라 경로가 짧은 기간 동안만 유지되고 모든 노드는 에너지를 배터리에 의존하기 때문에 배터리에 많은 제약을 받는다 이와 같은 제한사항을 극복하기 위해 링크의 안정성을 유지하거나 파워 소모를 고려한 프로토콜에 대한 연구들이 활발히 이루어져 왔다. 하지만 링크의 안정성 또는 파워 소모의 어느 한 측면만을 고려함으로써 링크의 안정성은 높일 수 있으나 파워 소모가 효율적이지 못하다. 또한 전체 파워소모는 줄일 수 있으나 파워소모의 균형을 이루지 못함으로써 네트워크 수명을 오래 지속시킬 수 없는 문제점이 발생 한다. 본 논문에서는 배터리 잔량과 신호세기를 동시에 고려하여 각 노드들의 균형된 파워소모와 네트워크 전체의 파워 소모를 최소화함 으로써 네트워크 수명을 오래 지속시키기 위한 프로토콜인 RBSSPR(Residual Battery Capacity and Signal Strength Based Power-aware Routing Protocol in MANET)를 제안한다. RBSSPR은 AODV(Ad-hoc On-demand Distance Vector Routing)를 기반으로 하였다. NS-2 네트워크 시뮬레이션 결과를 통해, 제안된 RBSSPR이 특정 노드로 집중되는 트래픽을 분산시켜 파워소모의 균형을 이루고 네트워크 전체의 파워소모를 최소화함으로써 네트워크 수명을 연장시킴을 보였다.