• Proceedings of the Korea Information Processing Society Conference
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• 2022.11a
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• pp.273-274
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• 2022

본 논문에서는 제주지역의 전기자동차 충전 로그를 분석하여 일일 충전회수, 충전시간, 최대 동시 충전수 등의 데이터를 추출한다. 이 요소들에 의해 전기자동차 충전 수요, 전력량, 전력 등의 흐름을 파악할 수 있으며 전반적인 수요는 계절적 요인, 즉 휴가철 혹은 태풍 등의 영향을 받는다. 전력 수요는 아직 제주도 전체적인 전력소비에 비해 1.3 % 정도인 것을 파악되고 있으며 추후 태양발전과 같은 신재생 에너지와의 결합이나 광고 등의 비즈니스 모델 개발에 근거자료로 활용할 수 있다.

• Environmental and Resource Economics Review
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• v.22 no.4
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• pp.691-726
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• 2013

We develop a hybrid model which allows the change in electricity generation mix by adding the electricity-sector components of bottom-up model to the conventional CGE model. The electricity sector is represented as a sum of separate generation technologies, each of which has the form of DRTS (Decreasing Returns to Scale) production function, unlike the conventional CGE model. We compare the effects of the 30% emission reduction target using the hybrid model with those using the conventional CGE model. The cost of meeting the target is lower with the hybrid model than the conventional CGE. It is consistent with previous studies in that adding the bottom-up components to the top-down model reduces the cost of emission reduction. In an extra analysis we find that an additional regulation like RPS (Renewable Portfolio Standard) increases the cost.

• Journal of the Korea Convergence Society
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• v.6 no.1
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• pp.29-34
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• 2015

As smart grid techniques developed, public attention is concentrating on energy efficiency. So it is necessary to study on new renewable energy in order to manage the energy within micro grid consisting smart grid. Among them, small hydro energy has the advantage of being installable anywhere depending the amount of water used by the users within micro grid. This study examines if the measured value is appropriate for small hydro power generation by measuring generation quantity and operation rate of generator based on the sewage flow used by apartments and multi-unit dwellings where those users live. Some appropriate apartments and multi-unit dwellings generate electricity with small hydro generator using sewage as potential energy. This study intends to suggest more effective management by introducing energy management system and electricity storage device of micro grid.

• 한국신재생에너지학회:학술대회논문집
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• 2009.06a
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• pp.573-573
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• 2009

지열에너지는 지구가 생성될 당시부터 지구 내부에 존재하는 무한한 열에너지로 온실가스 배출이 적으며 태양광이나 풍력 등 다른 신재생 에너지와는 달리 일정한 에너지를 공급할 수 있는 항상성 에너지로 기저부하를 담당할 수 있다. 지열을 이용한 전력 생산은 1904년에 이탈리아 라데렐로에서 처음으로 시작되었으며, 현재까지 화산지대를 중심으로 활발히 이루어지고 있다. 2001년에서 2005년 사이에 전세계 지열발전용량은 약 13% 증가하였으며, 2005년을 기준으로 약 8,933MWe의 지열발전설비가 가동 중이다. 최근 들어 지하 심부까지 시추하여 지열저장소(geothermal reservoir)를 형성하고 이를 통해 지열에너지를 생산하는 새로운 시스템인 EGS(Enhanced Geothermal Systems)가 개발됨에 따라 비화산지대에서도 지열발전소를 건설하려는 움직임이 가속화되고 있다. EGS는 지하 심부의 불투수성 결정질 암반에 존재하는 지열에너지의 경제적인 생산뿐만 아니라 물을 주입하여 생산시키는 순환 방식을 이용하여 지열에너지 획득의 매개 역할을 하는 지열수의 고갈 문제를 해결하였다. 결정질 암반에서의 지열저장소의 형성은 암반 내에 분포하는 불연속면에서 주로 발생하며, 이를 위한 압력 조건은 현지 암반의 응력 분포 특성과 암반 및 불연속면의 물성에 좌우된다. 시추공을 통해 지하 심부의 암반에 수압이 가해지면 물의 주입으로 불연속면의 마찰력이 감소하며, 이로 인해 불연속면에 전단변형이 발생하게 된다. 전단변형은 불연속면을 열린 상태로 유지시켜 지열저장소를 형성하게 된다. 불연속면의 전단 변형시 발생하는 미소 탄성파는 시추공 주변에 설치한 모니터링 장비에서 측정되며, 모니터링 장비에 의해 측정된 미소 탄성파 발생 지점의 클러스터는 지열저장소의 공간적 분포 및 규모를 추정할 수 있는 자료가 된다. 현재 EGS를 이용한 지열발전 프로젝트는 프랑스 슐츠, 스위스 바젤, 호주 하바네로에서 대표적으로 진행 중이다. 슐츠는 현재 1.5MWe의 파일럿 플랜트를 가동 중이며, 하바네로는 파일럿 플랜트 건설 단계를 진행중이다. 스위스 바젤은 지열저장소를 형성시킬 목적으로 수행된 주입시험에서 발생된 문제에 대한 기술의 신뢰성을 확보할 목적으로 잠시 중단된 상태다. 제주도는 신생대에 분출하여 형성된 대표적인 한국의 화산지형으로 지열부존 가능성이 높을 것으로 예상되는 지역이다. 따라서 폐사는 지열에너지 부존 특성을 파악하기 위한 심부 물리 탐사 및 탐사정 시추가 실시될 예정이며 궁극적으로 국내 최초의 상용화된 지열발전소 건설을 목표로 하고 있다.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.29 no.3
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• pp.209-218
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• 2016

Recently, Wind-turbine electronic generator become popular. Wind-Turbine is free to cost for purchase and noise problem. For this reason, trend is shifting from Wind-turbine on land to offshore. Research and Development for offshore Wind-turbine has been conducted by various research institution. However, There is no solid design code for offshore Wind-turbine even in domestic as well as foreign. In this paper, conduct seismic analysis and compare results using design codes Korea Bridge Design Codes, Korea Harbor and Marina Design Codes, and DNV OS. Time-History analysis conducted for checking time dependent effect. The Added-Mass Method applied to consider water-structure effects and compared for w/ water and w/o water condition.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.31 no.5D
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• pp.689-695
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• 2011

In this paper, available power generation on the road from renewable energy technologies on how to use the piezoelectric effect has been studied. A lot of vehicles on road that can generate electricity using renewable energy technology as part of the external shock to convert the load into electrical energy using piezoelectric effect piezoelectric generator can be applied to road space. Piezoelectric power harvesting using piezoelectric ceramics for the development of impact load characteristics were tested as function of various experimental design such as generator design and array of piezo-ceramic. To design the piezoelectric generator, the characteristics of piezoelectric ceremic were compared depending on the type of impact load as function of impact load, shock-absorbing.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.12
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• pp.112-117
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• 2017

Interest in the development of renewable energy sources has been increasing over the past 10 years and the west coast of Korea is one of the most favorable regions for tidal power. Barrage type tidal power is representative of the experience of installation and operation of such power sources for long periods. However, future projects for barrage type energy sources are either delayed or closed due to their environmental impact. For this reason, we applied a new tidal power technology with minimized environmental impact to a candidate area in the west coast and then analyzed its feasibility. The new tidal power technology is called Dynamic Tidal Power (DTP). Because its verification is impossible both in the laboratory and field, a numerical model is used for the evaluation of DTP. This new technology produces tidal power by means of the phase difference caused by diffraction on both sides of a dike built tens of km away from the coast. Because DTP is theoretically able to almost double the tidal range, it is expected to be applicable to even a small tidal area. Unlike the barrage type, it has the advantage of reducing the environmental impact by not enclosing the sea water. The west coast of Korea is close to the metropolitan area and has a high tidal range and, thus, it is thought to be a suitable candidate for tidal power.

• Journal of the Institute of Convergence Signal Processing
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• v.25 no.2
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• pp.94-99
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• 2024

Recently, wind power has been gaining attention as a highly efficient renewable energy source, leading to various technological developments worldwide. Typically, wind power is operated in the form of large wind farms with many wind turbines installed in areas rich in wind resources. However, in developing countries or regions isolated from the power grid, off-grid small wind power systems are emerging as an efficient solution. To efficiently operate and expand off-grid small-scale power systems, the development of real-time monitoring systems is required. For the efficient operation of small wind power systems, it is essential to develop real-time monitoring systems that can actively respond to excessive wind speeds and various environmental factors, as well as ensure the stable supply of produced power to small areas or facilities through an Energy Storage System (ESS). The implemented system monitors turbine RPM, power generation, brake operation, and more to create an optimal operating environment. The developed small wind power system can be utilized in remote road lighting, marine leisure facilities, mobile communication base stations, and other applications, contributing to the development of the RE100 industry ecosystem.

• KEPCO Journal on Electric Power and Energy
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• v.5 no.4
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• pp.295-309
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• 2019

This paper demonstrates that the verification and analysis of the increase of hosting capacity of distributed energy resources in distribution system for the high penetration of distributed energy resources. In the case of generally designed distribution feeders in South Korea, it can host up to 10 MVA of distributed energy resources and the over voltage due to reverse power flow is prohibited beyond the range by the law of electric utility. However, it should take into consideration that there are some factors of extra hosting capacity such as generation characteristics of distributed energy resources and minimum loads that always exist to distribution system. For these reason, we choose a specific distribution system hosted 10 MVA of distributed energy resources monitored by distribution system operator and verify the impact of increasing hosting capacity such as power flow and voltage profile of distribution system. By the result, we could find that it is possible to increase the hosting capacity and define the factors to expand the hosting capacity of distributed energy resources in distribution system.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.05a
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• pp.457-459
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• 2018

Solar power generation system is a energy generation technology that produces electricity from solar power, and it is growing fastest among renewable energy technologies. It is of utmost importance that the solar power system supply energy to the load stably. However, due to unstable energy production due to weather and weather conditions, accurate prediction of energy production is needed. In this paper, an Artificial Neural Network(ANN) that predicts solar energy using 15 kinds of meteorological data such as precipitation, long and short wave radiation averages and temperature is implemented and its performance is evaluated. The ANN is constructed by adjusting hidden parameters and parameters such as penalty for preventing overfitting. In order to verify the accuracy and validity of the prediction model, we use Mean Absolute Percentage Error (MAPE) and Mean Absolute Error (MAE) as performance indices. The experimental results show that MAPE = 19.54 and MAE = 2155345.10776 when Hidden Layer $Sizes=^{\prime}16{\times}10^{\prime}$.