• 대한전기학회:학술대회논문집
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• 대한전기학회 2011년도 제42회 하계학술대회
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• pp.743-744
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• 2011

Currently, the major issue in power system is construction of smart grid. Unlike conventional electricity grids, smart grid allows two-way communication between electricity suppliers and consumers, as well as enabling more dispersed generation and storage of power. The AMI(advanced metering infrastructure) system is the core technology of smart grid and this paper deals with the design methodology of AMI System using PLC(power line communication) networks.

• 국제학술발표논문집
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• The 9th International Conference on Construction Engineering and Project Management
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• pp.937-944
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• 2022

Electric vehicles (EVs) have been growing to reduce energy consumption and greenhouse gas (GHG) emissions in the transportation sector. The increasing number of EVs requires adequate recharging infrastructure, and at the same time, adopts low- or zero-emission electricity production because the GHG emissions are highly dependent on primary sources of electricity production. Although previous research has studied solar photovoltaic (PV) -integrated EV charging stations, it is challenging to optimize spatial areas between where the charging stations are required and where the renewable energy sources (i.e., solar photovoltaic (PV)) are accessible. Therefore, the primary objective of this research is to support decisions of siting EV charging stations using a spatial data clustering method integrated with Geographic Information System (GIS). This research explores spatial relationships of PV power outputs (i.e., supply) and traffic flow (i.e., demand) and tests a community in the state of Indiana, USA for optimal sitting of EV charging stations. Under the assumption that EV charging stations should be placed where the potential electricity production and traffic flow are high to match supply and demand, this research identified three areas for installing EV charging stations powered by rooftop PV in the study area. The proposed strategies will drive the transition of existing energy infrastructure into decentralized power systems. This research will ultimately contribute to enhancing economic efficiency and environmental sustainability by enabling significant reductions in electricity distribution loss and GHG emissions driven by transportation energy.

• 한국건설관리학회:학술대회논문집
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• 한국건설관리학회 2003년도 학술대회지
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• pp.67-72
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• 2003

Infrastructure asset management is a methodology for programming infrastructure capital investments and adjusting infrastructure service provision to fulfil established performance, considering the life-cycle perspective of infrastructure. In this study, the methodologies for infrastructure asset management system implemented in sewer management system, bridge management system, pavement and highway management system, and embankment dam management system are described with focus on the system in U.S. As the major methodology to support the decision-making for asset mangers to better allocate the limited funds to the area needing it the most. various demand forecasting methodologies used in wastewater, water, transportation, electricity, and construction are also introduced for their applicability towards infrastructure asset management.

• 디지털융복합연구
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• 제17권8호
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• pp.105-113
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• 2019

본 연구는 원자력 발전소등의 국가 핵심기반시설에 대한 기존의 사이버 보안 위험 모델링 기법을 분석하고 이의 한계점 및 개선방안을 도출하는데 목적이 있다. 연구 대상은 전력 및 원자력 발전소, SCADA등의 국가 핵심기반시설의 사이버 보안 위험 모델링 기법이다. 연구에서는 SCADA, 전력, 원자력 발전의 사이버 보안 위험 모델링 분야의 총 26편에 대한 선행 연구 사례를 분석하고, 이를 정성적 모델링과 정량적 모델링 기법으로 구분하여 각각의 특징과 한계점에 대해 분석하였다. 최근 핵심기반시설은 디지털화 되어 가는 추세이며 Windows등의 운영체제를 사용하는 시스템들로 구성되어 있지만, 상시 운영되어야 하는 요구사항으로 인해, 취약점이 발견되더라도 패치등을 즉각 행할 수가 없는 특징이 있다. 본 연구에서는 이러한 제약사항들을 감안하여 취약점들이 핵심기반시설의 생명주기동안 어떤 특성으로 전파되고 예방 할 수 있는지에 대한 모델링 기법 방안을 제시하고 있다.

• 한국건설관리학회논문집
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• 제16권1호
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• pp.74-81
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• 2015

도심기반시설은 도시 내 인간의 활동을 위해 필수적으로 공급해야 할 시설이나 도심 내의 입지선정과 관련하여 위험시설로 인식되어 많은 갈등이 야기되고 있다. 대표적인 도심의 통신전력 기반시설인 변전소 역시 전력수요의 증가에 따라 도심지에 반드시 존치해야 함에도 불구하고 사회민원이 발생함에 따라 이러한 갈등을 구체적이고 과학적인 근거에 따라 판단하고 객관적인 해결방안을 도출할 필요가 있게 되었다. 이에 본 연구에서는 아파트 가격을 결정짓는 일반적인 요소들과 아파트 단지와 변전소의 직선상의 거리를 독립변수로 사용하고, 아파트 가격을 종속변수로 단위면적당 매매가를 선정하여, 시설 위치를 포함한 아파트가격 결정요인들이 각각 어떠한 영향을 주었는지를 헤도닉 가격모형을 활용한 회귀분석과 인공신경망 분석을 통해 분석하였다. 결과 일부 대상 변전소의 경우 아파트 단지와 거리가 가까울수록 매매가격이 떨어지며 변전소가 아파트가격에 미치는 영향력의 범위는 600m이내 인 것으로 나타났다. 본 연구에서는 변전소의 입지가 아파트 가격에 영향을 미치는지를 객관적 데이터와범 용적인 모형으로 분석함으로써, 변전소의 입지가 부동산의 경제적 가치를 분석하는 방법적 토대를 제공하였다.

• 디지털산업정보학회논문지
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• 제16권1호
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• pp.33-39
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• 2020

A smart grid is a next-generation power grid that can improve energy efficiency by applying information and communication technology to the general power grid. The smart grid makes it possible to exchange information about electricity production and consumption between electricity providers and consumers in real-time. Advanced metering infrastructure (AMI) is the core technology of the smart grid. The AMI provides two-way communication by installing a modem in an existing digital meter and typically include smart meters, data collection units, and meter data management systems. Because the AMI requires data collection units to control multiple smart meters, it is essential to ensure network availability under heavy network loads. If the load on the work done by the data collection unit is high, it is necessary to allocation new data collection units to ensure availability and improve energy efficiency. In this paper, we discuss the allocation scheme of data collection units for the energy efficiency of the AMI.

• 한국수소및신에너지학회논문집
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• 제23권1호
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• pp.100-109
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• 2012

In this paper, some ideas are proposed to establish the infrastructure of all-electric houses which are able to reduce primary energy consumption and $CO_2$ emission by adopting heat pump systems and induction heating cookers excluding the use of fossil fuel energy. This electrification concept is based on the consumption of only one type of energy which means electricity as secondary energy and the conventional fossil fuel energy is just consumed to generate electricity as primary energy. All-electric house is laid on the extension of the hydrogen economy in a long-term viewpoint so that the effectiveness of this new conceptual house is estimated analyzing the reduction of $CO_2$ emission. In this analysis, the balance of electricity supply and demand is considered including the construction of new power plants by renewable energy such as nuclear, IGCC and fuel cell because decarbonization is an essential element of hydrogen technology and economy and this action is accomplished in both supply and demand side of electricity. The results are able to contribute to develop various useful hydrogen policies and strategies and some detail researches are required previously to make the best application of this new conceptual house.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2005년도 ICCAS
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• pp.1379-1383
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• 2005

Introducing the market into the electricity industry lets the multiple participants get into new competition. These multiple participants of the market need new business strategies for providing value added services to customer. Therefore they need the accurate customer information about the electricity demand. Demand characteristic is the most important one for analyzing customer information. In this study load profile data, which can be collected through the Automatic Meter Reading System, are analyzed for getting demand patterns of customer. The load profile data include electricity demand in 15 minutes interval. An algorithm for clustering similar demand patterns is developed using the load profile data. As results of classification, customers are separated into several groups. And the representative curves for the groups are generated. The number of groups is automatically generated. And it depends on the threshold value for distance to separate groups. The demand characteristics of the groups are discussed. Also, the compositions of demand contracts and standard industrial classification in each group are presented. It is expected that the classified curves will be used for tariff design, load forecasting, load management and so on. Also it will be a good infrastructure for making a value added service related to electricity.

• 한국환경과학회지
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• 제23권6호
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• pp.1067-1074
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• 2014

Life Cycle Assessment(LCA) has been carried out to evaluate the environmental impacts of glass bottle recycle. The LCA consists of four stages such as Goal and Scope Definition, Life Cycle Inventory(LCI) Analysis, Life Cycle Impact Assessment(LCIA), and Interpretation. The LCI analysis showed that the major input materials were water, materials, sand, and crude oil, whereas the major output ones were wastewater, $CO_2$, and non-hazardous wastes. The LCIA was conducted for the six impact categories including 'Abiotic Resource Depletion', 'Acidification', 'Eutrophication', 'Global Warming', 'Ozone Depletion', and 'Photochemical Oxidant Creation'. As for Abiotic Resource Depletion, Acidification, and Photochemical Oxidant Creation, Bunker fuel oil C and LNG were major effects. As for Eutrophication, electricity and Bunker fuel oil C were major effects. As for Global Warming, electricity and LNG were major effects. As for Ozone Depletion, plate glasses were major effects. Among the six categories, the biggest impact potential was found to be Global Warming as 97% of total, but the rest could be negligible.

• 한국전자통신학회논문지
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• 제14권3호
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• pp.537-546
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• 2019

본 논문에서는 스마트 전력량계에 세대집중화장치를 내장하여 AMI에 필요한 가스, 수도, 온수, 난방 검침을 일괄검침하는 시스템과, 검침데이터를 에너지정보표시장치(IHD: In House Display)와 서버로 전송하는 방법을 구성하여 보다 경제적으로 AMI 시스템을 구축하는 방법을 제시한다. 개발된 시스템은 기존 시스템 보다 네트워크 구성에 있어서 가격이 저렴하고 운영비용이 절감되며 설치가 용이하다. 개발된 시스템을 적용하면 전기, 수도, 가스, 온수 및 난방의 5종 계량기의 계량값을 원격검침 하고 이에 대한 AMI 적용을 보다 용이하게 구성 가능하다. 주요개발 내용은 스마트 전력량계 구성과 세대집중화장치 결합 및 이들 데이터를 IHD와 서버로 전송하는 방법이며, 이들 요소들을 연계하여 시스템을 구성하고 실제 검침 동작구성을 테스트하고 그 결과를 보여준다.