• 전기학회논문지
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• 제67권8호
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• pp.1009-1018
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• 2018

As the generation of renewable energy increases rapidly, the stability of the grid due to its intermittency becomes a problem. The most appropriate way to solve this problem is to combine and operate the renewable generators with the ESS(Energy Storage System). However, since the revenues of operating the ESS are less than the investment cost, many countries are implementing various incentive policies for encouraging investment of the ESS. In this paper we estimated optimal capacity of the ESS to maximize profits of renewable energy generation businesses under the incentive policy of Korea and analyzed the impact of the incentive policy on the future electric power system of Jeju island. The simulation results show that the incentive policy has significantly improved the profitability of the renewable energy businesses generation business. But the volatility of the net demand has increased as the energy stored in the ESS is discharged intensively at the time of the incentive application.

• 전기화학회지
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• 제26권2호
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• pp.19-34
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• 2023

Due to the intermittency of renewable energy sources, a need to store and transport energy will increase. Hydrogen production through water electrolysis will provide an excellent way to supplement the intermittency of renewable energy sources. While alkaline water electrolysis is currently the most mature technology, it has drawbacks of low current density, large footprint, gas crossover, etc. The PEM water electrolysis has potential to replace the alkaline electrolysis. However, expensive catalyst material used in the PEM electrolysis has been the bottleneck of widespread use. In this review, we have reviewed recent efforts to reduce catalyst loading in PEM water electrolysis. In core-shell nanostructures, the precious metal catalyst forms a shell while heteroatoms form a core. In this way, the catalyst loading can be significantly reduced while maintaining the catalytic activity. In another approach, a corrosion-resistant support is utilized, which provides a stable platform to impregnate precious metal catalyst.

• 한국신재생에너지학회:학술대회논문집
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• 한국신재생에너지학회 2011년도 춘계학술대회 초록집
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• pp.133.2-133.2
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• 2011

2012년 RPS 제도가 시행되게 되면 발전설비용량 기준 500MW이상의 발전 사업자는 전체 전력생산량 중 일정 부분을 신재생에너지로 생산, 공급해야 한다. 최근 지경부에서 고시한 제5차 전력수급기본계획에서도 이러한 점을 반영하여 2024년까지 전체 발전량의 8.9%를 신재생에너지원으로 대체하겠다고 발표하였다. 신재생에너지 기술 수준, 시장여건 등을 고려하였을 때 앞으로 가장 크게 보급량(penetration)이 증가할 것으로 보이는 신재생에너지원은 태양광과 풍력인데 이 두 에너지원은 간헐성(intermittency)으로 인한 비급전성이라는 특징을 가지고 있어 향후 그 비중이 증가하면 전력계통의 안정성에 미치는 영향에 대해 고려해야할 것으로 보인다. 본 연구에서는 태양광과 풍력의 간헐성을 고려했을 때 추가적으로 발생하는 비용을 고려했을 경우 각 에너지원의 용량비용은 어떻게 되는지 알아보고자 한다.

• 한국전자통신학회논문지
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• 제16권4호
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• pp.735-742
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• 2021

최근 정부에서 역점 적으로 추진하고 있는 '재생에너지 3020', '그린뉴딜', '2050 탄소중립', 'K-RE100' 정책에 의해 재생에너지 관련 발전설비들이 급증하고 있다. 재생에너지 설비들은 대부분 소규모이고, 분산되어 있어서 효율적인 관리가 어렵고, 1MW 미만의 소규모 분산자원은 판매량 제한, 거래회피 등으로 시장참여에 큰 어려움을 겪고 있다. 특히, 재생에너지의 간헐성 때문에 전력망의 안정성 저하에도 큰 영향을 끼치고 있다. 정부에서는 '소규모 분산자원 중개거래'를 통해서 변동성 및 간헐성 문제를 해결하고, 이종의 대량 소규모 분산자원들의 계통 자원화와 수용성 확대를 추구하고 있다. 본 연구에서는 AI에 기반한 발전량 예측 모델을 분산자원 중개거래 시스템에 적용하여 최적의 운영 솔루션을 제시하고, 에너지신사업 시장 개척의 기반 플랫폼으로 활용될 수 있도록 하고자 한다.

• 한국환경과학회지
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• 제18권8호
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• pp.867-876
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• 2009

Although renewable power is regarded a way to active response to climate change, the stability of whole power system could be a serious problem in the future due to its uncertainties such as indispatchableness and intermittency. From this perspective, the peak time impact of stochastic wind power generation is estimated using simulation method up to year 2030 based on the 3rd master plan for the promotion of new and renewable energy on peak time. Result shows that the highest probability of wind power impact on peak time power supply could be up to 4.41% in 2030. The impact of wind power generation on overall power mix is also analyzed up to 2030 using SCM model. The impact seems smaller than expectation, however, the estimated investment cost to make up such lack of power generation in terms of LNG power generation facilities is shown to be a significant burden to existing power companies.

• 한국태양광발전학회지
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• 제3권3호
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• pp.56-61
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• 2017

With the appearance of the climate change concerns, energy transition to renewable energy is accelerating over the world. Korea, a latecomer to the renewable energy sector, has also been unable to avoid energy transition. The government is promoting strong goals for expansion of renewable energy. However, switching from stable and controllable conventional generation to intermittent and uncontrollable renewable generation will be a big challenge for the electric power industry. Korea Power Exchange(KPX), which is responsible for the planning and operation of the electric power industry in Korea, is trying to improve measures in various fields such as the implementation of real-time unit commitment and additional real-time markets in order to cope with the volatility and intermittency of renewable energy.

• 한국신재생에너지학회:학술대회논문집
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• 한국신재생에너지학회 2011년도 추계학술대회 초록집
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• pp.140.2-140.2
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• 2011

Renewable energy(RE) systems have difficulties in operating and management due to the intermittency of the energy generation. Stochastic supply profiles of RE creates problems for mechanical and electrical design in relation to the selection of technology types and capacities of RE to be installed. This paper presents an methodology of the feasibility assessment of RE-integrated energy systems on the basis of hourly demand/supply analysis tools. Also, this paper shows the feasibility and the usefulness of GS REMA(Renewable Energy Matching Analysis) and HOMER by comparing actual energy data.

• Nuclear Engineering and Technology
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• 제54권8호
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• pp.2883-2897
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• 2022

According to the Renewable Energy 3020 Implementation Plan announced in 2017 by the South Korean government, the electricity share of renewable energy will be expanded to 20% of the total electricity generation by 2030. Given the intermittency of electricity generation from renewable energy, realization of such a plan presents challenges to managing South Korea's isolated national electric grid and implies potentially large excess electricity generation in certain situations. The purpose of this study is: 1) to develop a model to accurately simulate the effects of excess electricity generation from renewables which would arise during the transition, and 2) to propose strategies to manage excess electricity generation through effective utilization of domestic electricity generating capabilities. Our results show that in periods of greater PV and wind power, namely the spring and fall seasons, the frequency of excess electricity generation increases, while electricity demand decreases. This being the case, flexible operation of coal and nuclear power plants along with LNG and pumped-storage hydroelectricity can be used to counterbalance the excess electricity generation from renewables. In addition, nuclear energy plays an important role in reducing CO₂ emissions and electricity costs unlike the fossil fuel-based generation sources outlined in the 8th Basic Plan.

• 한국산업융합학회 논문집
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• 제25권1호
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• pp.71-78
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• 2022

With the advent of cutting-edge technology, renewable energy is significantly considered as alternative resources to supply electric power. However, many barriers such as energy intermittency, high initial installation cost, and low-efficiency generation challenged building new infrastructure with clean energy. Efforts reducing greenhouse gas emissions and reliance on fossil fuels resulted in the decentralization of power generation like distributed energy resource (DER). This paper is to introduce and evaluate the feasibility of building-integrated photovoltaics (BIPV) in a high-rise building in Ulsan. To optimize BIPV, a variety of methods to minimize efficiency decrease and maximize electric power generation after installing BIPV on the building's facade are suggested. The variables causing power losses are analyzed. By utilizing System Advisor Model (SAM), actual power generated from solar panels is measured by Thin-film PV, Mono-crystalline PV, and Poly-crystalline PV.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제11권4호
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• pp.247-253
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• 2011

A sustainability of electricity supply has emerged as a critical issue for low carbon green growth in South Korea. Wind power is the fastest growing source of renewable energy. However, due to its own intermittency and volatility, the power supply generated from wind energy has variability in nature. Hence, accurate forecasting of wind speed and power plays a key role in the effective harvesting of wind energy and the integration of wind power into the current electric power grid. This paper presents a short-term wind speed prediction method based on support vector regression. Moreover, particle swarm optimization is adopted to find an optimum setting of hyper-parameters in support vector regression. An illustration is given by real-world data and the effect of model regularization by particle swarm optimization is discussed as well.