• 지역연구
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• 제33권1호
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• pp.3-16
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• 2017

본 논문은 에너지 효율성 지표로써 투입물로 에너지뿐만 아니라 노동과 자본 등을 동시에 고려한 총요소 에너지 효율성을 DEA에 기초하여 2005-2013년 기간 동안 우리나라 16개 시 도의 제조업 부문에 대하여 추정하였다. 추정결과에 의하면, 단일요소 에너지 효율성과 총요소 에너지 효율성 간에 차이가 존재하여 두 지표를서로 보완적으로 사용할 필요성이 있는 것으로 나타났다. 한편, 총요소 에너지 효율성 지표는 대부분의 시 도들에서 높게 나타났는데 서울, 광주, 울산, 경북 등은 프런티어에 위치하지만, 강원, 부산, 대구, 인천 등은 상대적으로 매우 비효율적인 것으로 나타났다. 또한 패널 토빗 모형을 통해 총요소 에너지 효율성의 결정 요인을 추정한 결과에 의하면, 대기업의 생산액 비중이 클수록, 에너지 다소비업종의 생산액 비중이 작을수록, 그리고 전력 사용 비중이 클수록, 총요소 에너지 효율성에 긍정적인 영향을 주는 것으로 추정되었다.

• 교육녹색환경연구
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• 제9권2호
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• pp.30-37
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• 2010

This study purposed realization and a phase reduction of school building $CO_2$ emissions. Accordingly selected standard school buildings and evaluated life cycle environmental load($CO_2$). This study proposed Green building technology which separated design sector, energy sector, afforestation sector for carbon-neutral city school buildings realization of M-city. As a result, elementary, middle and high schools of M-city built in the year 2013 were required that design sector was Energy Performance Index(EPI) 75 point and energy sector was solar installations more than 25% of the power usage, Solar systems installed more than 10% of total gas consumption and the area of afforesting more than 35% of the ecological area to achieve 30% $CO_2$ reduction compared to the Respectively standard school buildings.

• 전력전자학회:학술대회논문집
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• 전력전자학회 2016년도 전력전자학술대회 논문집
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• pp.423-424
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• 2016

Recently, the mass production of Energy storage system (ESS) is actively perform around world. Energy storage system is a technique that stores power to energy storage device to supply energy into grid and load at peak-load. Therefore, the efficient energy management is available by using ESS system. The life of Lithium-ion battery is varied corresponding to the power usage, especially selected depth of discharge (DOD). The lifetime of battery is the one of the most issue of the ESS system because of its stability and reliability. Therefore, lifetime management of battery and power converter of ESS module is required. In this paper, the battery lifetime management method estimating residual power and lifetime of lithium ion battery of ESS system is proposed. Also, total avenue prediction of ESS system is simulated considering the total lifetime of battery.

• 한국태양에너지학회 논문집
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• 제31권5호
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• pp.126-133
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• 2011

The current world wide interest in environmental issues has moved from energy conservation to $CO_2$emission reduction. Recently, according to the increase in demand for water resources, insufficient potable water circumstance is supposed, unless there are corresponding in crease in water conservation and water recycling. This study has attempted to analyze $CO_2$emission reduction by water saving strategies like installation water saving devices, rain water harvesting and grey water system. To do this, this research investigates applicable water conservative strategies by literature review and calculated total water saving. The results show that (1) firstly, the water usage and $CO_2$ emission could be reduced up to 44%, (2) $CO_2$ emission reduction by water saving devices and rainwater harvesting system is about 47.7%, and (3) water usage and $CO_2$ emission reduction by grey water system is about 66%. In the future, this paper will be utilized for water management from the early design stage to maintenance stage of water glutton building.

• 스마트미디어저널
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• 제4권1호
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• pp.25-32
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• 2015

Powering wireless sensors with energy harvested from the environment is coming of age due to the increasing power densities of both storage and harvesting devices and the electronics performing energy efficient energy conversion. In order to maximize the functionality of the wireless sensor network, minimize missing packets, minimize latency and prevent the waste of energy, problems like congestion and inefficient energy usage must be addressed. Many sleep-awake protocols and efficient message priority techniques have been developed to properly manage the energy of the nodes and to minimize congestion. For a WSN that is operating in a strictly energy constrained environment, an energy-efficient transmission strategy is necessary. In this paper, we present a novel transmission priority decision scheme for a heterogeneous body sensor network composed of normal nodes and an energy harvesting node that acts as a cluster head. The energy harvesting node's decision whether or not to clear a normal node for sending is based on a set of metrics which includes the energy harvesting node's remaining energy, the total harvested energy, the type of message in a normal node's queue and finally, the implementation context of the wireless sensor network.

• 설비공학논문집
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• 제26권8호
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• pp.394-400
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• 2014

Several models and methods have been developed to verify the improvement of energy performance in retrofit buildings. The verification is important to confirm the effectiveness of new technologies or retrofits. Inverse model toolkit proposed by ASHRAE evaluates the changes of the energy performance of retrofit buildings by using actual energy consumption data. In this study, the inverse model toolkit was used to analyze heating and cooling energy performance of an office building. Analyzed coefficients of correlation of actual energy consumption with estimated energy consumption was above 0.92 and well fitted. It was confirmed that energy consumption of natural gas decreased by 43.4% and also that electricity decreased by 13.8%, after the retrofit of the case building. For the energy usage, cooling energy was increased by 7.4%, heating energy was decreased by 42.3%, hot water and cooking were increased by 3.4%, lighting and electronics were decreased by 19.3%, and the total energy was decreased by 18.9%.

• 조명전기설비학회논문지
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• 제23권12호
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• pp.176-183
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• 2009

대형병원의 에너지 소비패턴을 분석한 후 마이크로가스터빈을 적용할 경우 기존 시스템 대비 냉난방에너지 절감량 및 전기에너지 절감량과 경제성분석을 통해 대형병원의 에너지 소비량을 절감하기 위한 에너지성능평가 모의연구를 수행하였다. 0.5[MW]급 마이크로 가스터빈을 설치한 후 에너지 성능분석을 한 결과 터빈에서의 발전효율은 30[%]이며, 전기는 건물에서 사용되는 조명에너지 뿐만 아니라 전체 전기에너지의 40[%]을 절감할 수 있는 것으로 분석되었다. 또한 터빈에서 발전되는 전기량과 배열을 냉난방에너지원으로 이용할 경우 전체 시스템효율은 70[%]로 상승할 뿐만 아니라 난방에너지의 56[%], 냉방에너지의 67[%]를 절감할 수 있는 것으로 분석되었으며 현가등가법에 의한 시스템 투자회수 기간이 약 9년으로 분석되었다.

• 한국정밀공학회지
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• 제30권5호
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• pp.480-485
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• 2013

Enhancing energy efficiency of machine tools causes substantial impacts on the manufacturing industries, to cope with the competitive introduction of the total energy management strategies. Real-time energy monitoring is essential to identify energy consumption patterns of the machine tools and correlate them with the energy management strategy. Integrated analysis of machine tool's operation status and the corresponding energy usage is most important to accurately evaluate the energy efficiency under the various machining process environments. This paper proposes a system architecture to realize the online energy monitoring system and the embedded energy monitoring approach interconnected with the CNC kernel. The shop-floor operation management system is presented to integrate the proposed online energy monitoring approach.

• International Journal of Air-Conditioning and Refrigeration
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• 제17권1호
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• pp.15-24
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• 2009

The energy usage and the economical feasibility of the typical two story office building in the three urban locations of South Korea are evaluated as the eight orientations. The smallest energy consume is shown at the true south. The ranges of the low energy consume are $-3l5^{\circ}{\sim}0^{\circ}\;and\;-135^{\circ}{\sim}-180^{\circ}$. There are obvious advantages of passive solar designs such as using a fully glazed facade at the true south in the building. The General Low voltage plan is the effective way for the office building when does not required the high voltage electricity. The energy cost of KEPCO is compared to that of XCEL ENERGY. The portion of the customer charge of XCEL ENERGY is about 10% but it is about 50% of the total tariff of KEPCO. The effective way to save the energy cost is by reducing the operating energy of XCEL ENERGY plane but the most effective way is reduce the contracting energy of KEPCO plane.

• 전기학회논문지
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• 제67권3호
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• pp.460-466
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• 2018

For the efficient energy consumption in an urban railway station, it is necessary to know the patterns of electrical loads for each usage in detail. The electrical loads in an urban railway station have different characteristics from other normal electrical load, such as the peak load timing during a day. The lighting, HVAC, communication, and commercial loads make up large amount of electrical load for equipment in an urban railway station, and each of them has the unique specificity. These loads for each usage were estimated without measuring device by the polynomial regression method with big data such as total amount of electrical load and weather data. In the simulation with real data, the optimal polynomial regression model was third order polynomial regression model with 9 or 10 independent variables.