• 한국태양에너지학회 논문집
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• 제37권1호
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• pp.59-69
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• 2017

In 2012, Korea introduced a Renewable Portfolio Standard (RPS) scheme, replacing the Feed-in Tariff (FIT) scheme as a market support policy of renewable energy in the electricity market. RPS is to allocate obligatory quota of renewable energy sources for electricity suppliers, whereas FIT is to guarantee high prices for electricity from renewable energy sources. This study examines the effect of this policy change on solar photovoltaic market. According to the study, solar PV market grew fast under FIT as well as under RPS. However, under RPS the size of subsidy for solar PV suppliers was shrunk substantially. In addition, market risk increased severly under RPS due to the volatility of price of renewable energy certificate (REC) as well as of the electricity market price. The small and medium suppliers of solar PV were suffered the most severly from these policy effects. Therefore, the policy reform of RPS is needed to alleviate the market risk of small and medium suppliers of solar PV.

• 에너지협의회보
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• 통권76호
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• pp.44-57
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• 2006

이 자료는 지난 5월 24일 중국 소흥시에서 개최된 WEC 아태지역 에너지 시나리오 워크숍 및 역내 회원국 회의에서‘Energy Policy Scenarios to 2050’을 위한 아태지역 국가별 보고서 중 에너지경제연구원 김남일 박사가 발표한 우리나라의 국가 보고서 내용 입니다.

• 에너지공학
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• 제25권4호
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• pp.110-123
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• 2016

산업화에 따른 에너지 소비량의 증가와 지구온난화에 따른 환경 문제가 대두되면서 세계 각국은 안정적이고 환경친화적인 에너지자원인 신재생에너지의 보급을 촉진하고자 지원정책을 운영하고 있다. 본 연구에서는 주요국의 정책 동향 변화와 국내 의무할당제도를 실용주의 산업정책 제도설계 구성요소인 정치적 리더십, 정책조정과 협의 기구, 책임성 및 투명성 있는 정책의 집행의 관점에서 비교 분석을 통해 문제점을 도출하고, 신재생에너지 지원정책의 성공적인 운영을 위하여 실용주의 산업정책 기본 개념을 근거로 정책적인 제언을 제시하였다.

• Nuclear Engineering and Technology
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• 제54권6호
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• pp.2062-2066
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• 2022

Nuclear energy sources are indispensable in cost effectively achieving carbon neutral economy, where public opinion is critical to adoption as the consequences of nuclear accident can be catastrophic. In this context, discussion on spent nuclear fuel is a prerequisite to expanding nuclear energy, as it leads to the issue of radioactive waste disposal. Given the dearth of study on spent nuclear fuel public acceptance, we use text mining and big data analysis on the news article and public comments data on Naver news portal to identify the Korean public opinion on spent nuclear fuel. We identify that the Korean public is more interested in the nuclear energy policy than spent nuclear fuel itself and that the alternative energy sources affect the position towards spent nuclear fuel. We recommend relating spent nuclear fuel issue with nuclear energy policy and environmental issues of alternative energy sources to further promote spent nuclear fuel.

• Journal of Communications and Networks
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• 제14권2호
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• pp.121-129
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• 2012

In this paper, we consider a source node that operates over a time varying channel with energy harvesting capability. The goal of the source is to maximize the average number of successfully delivered packets per time slot. The source is able to choose whether to transmit a packet or defer the transmission in each time slot. The decision which is chosen by the source depends on the channel information available and the length of the energy queue. We formulate the problem of finding the optimal policy as a Markovian decision problem. We show some properties of the value function that represents the discounted number of successfully delivered packets per time slot. We prove that the optimal policy is a threshold type policy depending on the state of the channel and the length of the energy queue. We also derive an upper bound for the average number of packets per time slots successfully received by the destination. We show using numerical results that this bound is a tight bound on the performance of the optimal policy. And we consider the case of time varying channel but without channel state information (CSI). Then, we study the impact of channel time varying nature and the availability of CSI. In this case, we show that the optimal policy is a greedy policy. The performance of this greedy policy is also calculated.

• 한국태양에너지학회 논문집
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• 제38권6호
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• pp.27-36
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• 2018

Typical Meteorological Year Dataset is necessary for the renewable energy feasibility study. Since National Renewable Energy Laboratory has been built Typical Meteorological Year Dataset in 1978, gridded datasets taken from numerical weather prediction or satellite imagery are employed to produce Typical Meteorological Year Dataset. In general, Typical Meteorological Year Dataset is generated by using long-term in-situ observations. However, solar insolation is not usually measured at synoptic observing stations and therefore it is limited to build the Typical Meteorological Year Dataset with only in-situ observation. This study attempts to build the Typical Meteorological Year Dataset with satellite derived solar insolation as an alternative and then we evaluate the Typical Meteorological Year Dataset made by using satellite derived solar irradiance at Daejeon ground station. The solar irradiance is underestimated when satellite imagery is employed.

• 한국신재생에너지학회:학술대회논문집
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• 한국신재생에너지학회 2007년도 춘계학술대회
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• pp.823-828
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• 2007

In compare with a major developed countries, Korea consumes much energy, but also eliminates much carbon dioxide. Agricultural sector eliminate much carbon dioxide than industrial sector. In Kyoto protocol, Korea needs to reduce carbon dioxide. One way to reduce carbon dioxide is utilization of biomass in rural area. This paper focus on utilization of biomass in rural area. If use 20% potential amount of biomass, it obtain 50% of TPES on agricultural sector. The condition of utilization biomass is connected with agricultural policy, environmental policy, and energy policy. And environmental restriction keep pace with economical incentive.

• 한국태양에너지학회 논문집
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• 제39권6호
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• pp.137-151
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• 2019

This study estimated the available renewable market potential based on Levelized Cost Of Electricity and then assessed the renewable derived energy self-sufficiency for the unit of local government in South Korea. To calculate energy self-sufficiency, 1 km gridded market renewable generation and local government scale of final energy consumption data were used based on the market costs and statistics for the recent three years. The results showed that the estimated renewable market potentials were 689 TWh (Install capacity 829 GW, 128 Mtoe), which can cover 120% of power consumption. 55% of municipalities can fully replace the existing energy consumption with renewable energy generation and the surplus generation can compensate for the rest area through electricity trade. However, it was confirmed that, currently, 47% of the local governments do not fully consider all renewable energy sources such as wind, hydro and geothermal in establishing 100% renewable energy. The results of this study suggest that energy planning is decentralized, and this will greatly contribute to the establishment of power planning of local governments and close the information gap between the central government, the local governments, and the public.

• 신재생에너지
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• 제6권2호
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• pp.40-48
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• 2010

This study was carried out to evaluate the renewable energy dissemination programs in Korea, using peer-review. Especially, we used the peer review method which was suggested to evaluate the renewable energy program in U.S. by EERE, DOE. Before we implemented the peer review, we modified this method suitable for evaluating the renewable energy dissemination programs in Korea by getting advice from expertise in renewable energy policy. From this procedure, we have verified six evaluation criteria as Quality, Productivity, Accomplishments, Relevance and Management. We interviewed renewable energy policy expertise and corporation to evaluate the programs against these criteria. The result shows that overall programs were performed more than average. In addition, both the policy expertise and corporation perceived that "oan Guarantee Program" and "ompulsory Installation of Renewable Energy Facility in Public building" fulfilled its role to a great extent. However, the respondents pointed out that all of the programs need to be improved on its management.

• 한국태양에너지학회 논문집
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• 제39권6호
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• pp.113-125
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• 2019

With the opening of the small power brokerage business market in December 2018, the small power trading market has started in Korea. Operators must submit the day-ahead estimates of power output and receive incentives based on its accuracy. Therefore, the accuracy of power generation forecasts is directly affects profits of the operators. The forecasting process for power generation can be divided into two procedure. The first is to forecast solar irradiation and the second is to transform forecasted solar irradiation into power generation. There are two methods for transformation. One is to simulate with physical model, and another is to use regression model. In this study, we found the best-fit regression model by analyzing hourly data of PV output and solar irradiation data during three years for 242 PV plants in Korea. The best model was not a linear model, but a sigmoidal model and specifically a Gompertz model. The combined linear regression and Gompertz curve was proposed because a the curve has non-zero y-intercept. As the result, R² and RMSE between observed data and the curve was significantly reduced.