• 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.

• 국제초고층학회논문집
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• 제7권2호
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• pp.161-170
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• 2018

Rapid urbanization, resource depletion, and limited land are further increasing the need for skyscrapers in city centers; therefore, it is imperative to enhance tall building performance efficiency and energy-generative capability. Potential performance improvements can be explored using parametric multi-objective optimization, aided by evaluation tools, such as computational fluid dynamics and energy analysis software, to visualize and explore skyscrapers' multi-resource, multi-system generative potential. An optimization-centered, software-based design platform can potentially enable the simultaneous exploration of multiple strategies for the decreased consumption and large-scale production of multiple resources. Resource Generative Skyscrapers (RGS) are proposed as a possible solution to further explore and optimize the generative potentials of skyscrapers. RGS can be optimized with waste-energy-harvesting capabilities by capitalizing on passive features of integrated renewable systems. This paper describes various resource-generation technologies suitable for a synergetic integration within the RGS typology, and the software tools that can facilitate exploration of their optimal use.

• 한국태양에너지학회 논문집
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• 제36권1호
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• pp.63-73
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• 2016

How effectively a wind farm captures high market prices can greatly influence a wind farm's viability. This research identifies and creates an understanding of the effects that result in various capture prices (average revenue earned per unit of generation) that can be seen among different wind farms, in the current and future competitive SMP (System Marginal Price) market in South Korea. Through the use of a neural network to simulate changes in SMP caused by increased renewables, based on the Korea Institute of Energy Research's extensive wind resource database for South Korea, the variances in current and future capture prices are modelled and analyzed for both onshore and offshore wind power generation. Simulation results shows a spread in capture price of 5.5% for the year 2035 that depends on both a locations wind characteristics and the generations' correlation with other wind power generation. Wind characteristics include the generations' correlation with SMP price, diurnal profile shape, and capacity factor. The wind revenue cannibalization effect reduces the capture price obtained by wind power generation that is located close to a substantial amount of other wind power generation. In onshore locations wind characteristics can differ significantly/ Hence it is recommended that possible wind development sites have suitable diurnal profiles that effectively capture high SMP prices. Also, as increasing wind power capacity becomes installed in South Korea, it is recommended that wind power generation be located in regions far from the expected wind power generation 'hotspots' in the future. Hence, a suitable site along the east mountain ridges of South Korea is predicted to be extremely effective in attaining high SMP capture prices. Attention to these factors will increase the revenues obtained by wind power generation in a competitive electricity market.

• 한국태양에너지학회 논문집
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• 제38권4호
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• pp.43-54
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• 2018

In this study, we assessed dependency of small hydropower potentials on the two different runoff such as the estimated runoff based on the rainfall amounts and measured runoff. The hydpropower potentials were evaluated using actural power generations taken from Deoksong, Hanseok, and Socheon small hydropower plants over Han and Nakdong river basins, respectively. As a result of comparing the actual power generation amount with the potential amount based on the rainfall amount and the estimated amount based on the observed flow amount by each small hydroelectric power plant, the degree of latent small hydro energy by the observed flow was confirmed to be high. It is confirmed that the potential hydroelectric power generation rate is estimated to be about average 30%Point higher than the actual generation amount as a result of the measured flow rate rather than using the rainfall amount. Based on this, a method for improving the degree of the actual generation amount is proposed.

• 한국태양에너지학회 논문집
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• 제39권3호
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• pp.59-66
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• 2019

New and renewable energy forecasts are key technology to reduce the annual operating cost of new and renewable facilities, and accuracy of forecasts is paramount. In this study, we intend to build a model for the prediction of short-term solar power generation for 1 hour to 3 hours. To this end, this study applied two time series technique, ARIMA model without considering seasonality and SARIMA model with considering seasonality, comparing which technique has better predictive accuracy. Comparing predicted errors by MAE measures of solar power generation for 1 hour to 3 hours at four locations, the solar power forecast model using ARIMA was better in terms of predictive accuracy than the solar power forecast model using SARIMA. On the other hand, a comparison of predicted error by RMSE measures resulted in a solar power forecast model using SARIMA being better in terms of predictive accuracy than a solar power forecast model using ARIMA.

• Journal of Advanced Marine Engineering and Technology
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• 제39권8호
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• pp.856-862
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• 2015

Tidal current energy is an important alternative energy resource among the various ocean energy resources available. The tidal currents in the South-Western sea of Korea can be utilized for the development of tidal current power generation. Tidal power generation can be beneficial for many fishing nurseries and nearby islands in the southwest region of Korea. Moreover, tidal power generation is necessary for promoting energy self-sufficient islands. As tidal currents are always available, power generation is predictable; thus, tidal power is a reliable renewable energy resource. The selection of an appropriate hydrofoil is important for designing a tidal current turbine. This study concentrates on the selection and numerical analysis of four different hydrofoils (MNU26, NACA63421, DU91_W2_250, and DU93_W_210LM). Blade element momentum theory is used for configuring the design of a 50 W class turbine rotor blade. The optimized blade geometry is used for computational fluid dynamics (CFD) analysis with hexahedral numerical grids. Among the four blades, NACA63421 blade showed the maximum power coefficient of 0.45 at a tip speed ratio of 6. CFD analysis is used to investigate the power coefficient, pressure coefficient, and streamline distribution of a 50 W class horizontal axis tidal current turbine for different hydrofoils.

• KIEAE Journal
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• 제8권1호
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• pp.19-24
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• 2008

The wind-power among the new and renewable energies uses the wind, a limitless, clean and pure energy which is available at any place. It requires low installation cost compared to the generation of other renewable energies, and is easy to operate, and furthermore, can be automated for operation. Korea has been taking a great deal of interest in the development of renewable energy generating equipment, specifically wind power generation as the nation has a nearly total reliance on imported petroleum. A measuring poll 30m high was installed at a location with an altitude of 142m above the sea level in order to measure and analyze the wind power potentiality at H University's Asan Campus, and the wind velocity and wind direction were measured for 1 year. As for the wind power resource of the area adjacent to Asan campus, the Weibull Distribution coefficient was C=2.68, K =1.29 at H30m. Weibull Distribution coefficient was modified on the basis of compensated wind velocity (=3.1m/s) at H 60m, and the energy density was $42W/m^2$. AEP 223,750 KWh was forecast based on the simulation of an 800KW grade wind turbine. It is considered that the wind power generation has to be studied further in the inland zone with low wind velocity to cope with the possible exhaustion of fossil fuel and ensure a sustainable environmental preservation.

• 자원ㆍ환경경제연구
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• 제30권2호
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• pp.325-345
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• 2021

본 논문은 원전 비중 축소와 신재생발전 비율 확대를 핵심 내용으로 하는 에너지 전환 정책의 잠재적 성과를 실증적으로 평가하고 그 파급효과를 분석하고자 한다. 발전산업을 대상으로 에너지원 간 수요가격탄력성을 측정하여 그 대체 여부 및 정도를 조사한 후, 원전과 신재생발전 비중 확대 시 CO₂ 발생량 변화를 추산한다. 원자력과 신재생에너지의 암묵가격을 산출하여 두 에너지원간 전력생산의 잠재적 비용을 비교하고, 원전 혹은 신재생발전을 각각 늘릴 경우 전력공급가격에 미치는 파급효과에 대한 시뮬레이션 분석을 실시한다. 원자력과 신재생에너지는 서로 보완적인 것으로 측정되었다. 원전 확대가 신재생발전을 늘리는 것보다 CO₂ 감축하는 데 효과적인 것으로 나타났다. 2002~2016년 기간에 걸쳐 대부분 연도에서 원전 확대의 전력공급가격 파급효과는 대체로 신재생발전보다 높게 추산되었으며 변동 폭은 상대적으로 크게 나타났다.

• 자원ㆍ환경경제연구
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• 제15권2호
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• pp.269-296
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• 2006

본 연구는 신 재생전원설비가 전력공급설비로서의 역할을 키워감에 따라 나타날 수 있는 공급상의 문제를 신 재생에너지원별로 확률적인 분석을 통하여 제기하였다. 각 원별 패턴은 풍속, 일사량, 그리고 월력에 근거한 조수간만의 차이 등에 의해 영향을 받으며 이들은 확률적 분포를 갖는다는 점에 주목하여 피크공급에 대한 각 원별 기여도에 대한 확률적 분석을 시도하였다. 분석의 결과, 통상적인 전력수급계획에서 각 에너지원별 혹 발전원별 설비이용률만을 고려하여 설비계획에 반영하는 기존의 방법론이 갖는 한계를 보여준다.

• 자원ㆍ환경경제연구
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• 제30권4호
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• pp.607-625
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• 2021

본 연구는 우리나라 발전 부문의 원자력과 신재생에너지 발전의 온실가스 감축효과를 추정하고, 원자력 발전의 사고위험에 따른 외부비용을 포함한 발전 비용을 고려하여 두 발전원의 온실가스 감축비용의 효율성을 비교하였다. 모형의 추정결과, 원자력 및 신재생에너지 발전 1% 증가는 각각 0.744%와 0.127%의 CO₂ 배출량을 감축시키는 것으로 분석되었다. 이는 CO₂ 배출량을 1% 감축시키기 위해서는 원자력 발전은 1.344%, 신재생에너지 발전은 7.874% 증가시켜야 함을 의미한다. 추정된 계수와 원자력 발전의 외부비용 포함 발전비용을 사용하여 1%의 CO₂ 배출량 감축을 위한 총 비용을 도출한 결과, 전체 발전량이 1MWh로 가정할 때 CO₂ 배출량 1%를 감축시키기 위한 원자력 발전비용은 외부비용에 따라 0.72~1.49달러로 계산되었으며, 신재생에너지 발전비용은 6.49달러로 나타났다. 이를 2020년 우리나라 총 화석연료 발전량(352,706GWh)을 기준으로 계산할 경우, 원자력 발전은 2.54억~5.26억 달러, 신재생에너지 발전은 22.89억 달러로 신재생에너지 발전이 원자력 발전보다 4.35~9.01배의 비용이 더 소요되는 것으로 분석되었다. 따라서 발전 부문의 온실가스 감축을 위해서는 원자력 발전이 신재생에너지 발전에 비해 높은 비용 효율성을 가지는 것을 알 수 있었다.