• Journal of Korea Water Resources Association
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• v.40 no.10
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• pp.769-781
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• 2007

Factor analysis has been usually employed in reducing quantity of data and summarizing information on a system or phenomenon. In this analysis methodology, variables are grouped into several factors by consideration of statistic characteristics, and the results are used for dropping variables which have lower weight than others. In this study, factor analysis was applied for extracting primary factors influencing multi-dam system operation in the Han River basin, where there are two multi-purpose dams such as Soyanggang Dam and Chungju Dam, and water has been supplied by integrating two dams in water use season. In order to fulfill factor analysis, first the variables related to two dams operation were gathered and divided into five groups (Soyanggang Dam: inflow, hydropower product, storage management, storage, and operation results of the past; Chungju Dam: inflow, hydropower product, water demand, storage, and operation results of the past). And then, considering statistic properties, in the gathered variables, some variables were chosen and grouped into five factors; hydrological condition, dam operation of the past, dam operation at normal season, water demand, and downstream dam operation. In order to check the appropriateness and applicability of factors, a multiple regression equation was newly constructed using factors as description variables, and those factors were compared with terms of objective function used in operation water resources optimally in a river basin. Reviewing the results through two check processes, it was revealed that the suggested approach provided satisfactory results. And, it was expected for extracted primary factors to be useful for making dam operation schedule considering the future situation and previous results.

• Environmental and Resource Economics Review
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• v.30 no.4
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• pp.627-648
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• 2021

The fine-dust season management system refers to the policy of implementing enhanced reduction measures in transportation, power, business and living sectors in winter, when fine dust levels are high. The fine dust season management system is a regulatory policy that causes social costs and transfers to various economic players. Equity is an important issue for the cost burden. Therefore, in this study, the cost of each power generator was analyzed using the coal power generation reduction amount of each power generator to verify that the cost of the power sector is evenly distributed. In particular, the effect of the fine dust season management system on coal power generation of power generators was analyzed by applying a synthetic control method that can identify the time-variable effect of the policy. It was confirmed that the fine dust season management system reduced volume of fuel and power generation in coal power plants, resulting in an increase in the cost of the power generation sector, even considering the effect of some power demand due to the COVID-19 crisis. However, it could be seen that these costs were not distributed equally among the generators, and that they were more costly to the specific generators.Social costs incurred by fine dust season management need to be improved so that stakeholders are equally burdened.

• Journal for History of Mathematics
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• v.10 no.2
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• pp.48-52
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• 1997

통계학이란 미래에 대한 예측을 하고 이에 대비하여 합리적인 의사결정을 내리는데 도움을 받을 수 있는 학문이다. 최근 다변량 통계분석은 관찰이나 실험의 대상이 되는 하나 이상의 변수들을 동시에 분석할 수 있는 매우 실제성이 높은 분석방법으로 통계학, 경영학, 사회학, 심리학, 생물학 등 여러 전공 분야에서 복잡하고 다양한 자료 분석에 폭넓게 활용되고 있다. 이 논문에서는 다변량 분석 방법 중 컴퓨터와 통계 분석 소프트웨어의 발전으로 인하여 최근에 활발히 연구되고 있는 군집방법의 역사와 여러 연구분야의 실제자료분석에 응용할 수 있도록 군집분석을 6가지로 나누어서 분류하였고 그 방법론을 제시하였다.

• Journal of the Korean Institute of Gas
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• v.10 no.4 s.33
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• pp.11-16
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• 2006

The purposes of this study is to develop a domestic MARKAL(MARKet ALlocation) model with construction of database system to find the technology mix for the electricity generation market in Korea. The MARKAL model is officially used for national energy system optimization in the International Energy Agency(IEA), and the role is becoming more important in relation to analyze the greenhouse gas mitigation potential and to evaluate the technologies. Four scenarios specially emphasized on the greenhouse gas reduction and technology mix of electric generation were applied, each of them covering the analysis periods between 2004 and 2040.

• Plant Journal
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• v.14 no.1
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• pp.47-51
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• 2018

This study analyzed the effect of power output reduction in coal fired power generation on the change of system marginal price and green house gas emissions. Analytical method was used for electricity market forecasting system used in korea state owned companies. Operating conditions of the power system was based on the the 7th Basic Plan for Electricity Demand and Supply. This as a reference, I analyzed change of system marginal price and green house gas emission by reduced power output in coal fired power generation. The results, if the maximum output was declined as 29 [%] to overall coal-fired power plant, system marginal price is reduced 12 [%p] compared to before and decreasing greenhouse gas emissions were 9,966 [kton]. And if the low efficiency coal fired power plant that accounted for 30 [%] in overall coal-fired power plant stopped by year, system marginal price is reduced 14 [%p] compared to before and decreasing greenhouse gas emissions were 12,874 [kton].

• Korean Chemical Engineering Research
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• v.62 no.3
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• pp.225-232
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• 2024

The reduction of CO₂ emissions in the energy production sector, which accounts for 86.8% of total greenhouse gas emissions, is important to achieve carbon-neutrality. At present, 60% of total power generation in South Korea is coal and natural gas. Replacing fossil fuel with renewable energy such as wind and solar has disadvantages of unstable energy supply and high costs. Therefore, this study was conducted through the co-firing of natural gas, ammonia and hydrogen utilizing the natural gas combined cycle process. The results demonstrated reduction in CO₂ emissions and 34%~238% of the power production compared to using only natural gas. Case studies on mass fractions of natural gas, ammonia and hydrogen indicated that power production and NO_x emissions were inversely proportional to the ammonia ratio and directly proportional to the hydrogen ratio. This study provides guidelines for the use of various fuel mixtures and economic analysis in co-firing power generation.

• Proceedings of the KIEE Conference
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• 2008.11a
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• pp.241-243
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• 2008

태양광 발전 기술의 발달로 용량이 증가함에 따라 계통연계가 증가하고 있다. 본 논문에서는 태양광 발전이 계통에 연계됨에 따라 기존 배전계통에 미치는 전압변동 즉, 플리커 현상을 분석하였다. EMTP/ATPDraw를 이용하여 태양광 발전이 연계된 배전계통을 모델링 하였다. 태양광 발전은 직류가 3상 PWM 인버터를 통하여 교류로 변환되어 계통에 연결되도록 모델링하였다. 태양광 array를 병렬로 연결하여 태양광 발전의 출력량을 증가시켜서, 출력변동에 따른 계통의 전압변동을 분석 하였다.

• Proceedings of the Korea Water Resources Association Conference
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• 2011.05a
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• pp.219-219
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• 2011

최근 지방자치단체에서는 농업용 취수보를 이용한 소수력발전에 관심을 가지고 지자체내의 유휴자원인 하천유수를 이용하여 소수력발전을 함으로써 환경친화적인 에너지를 생산하여 석유 등 에너지 수입대체 효과와 전력수요 급증시의 부하평준화에 기여하고자 하고 있다. 이는 정부의 "저탄소 녹색성장의 에너지정책"에 부응하는 것이며, 또한 하천에 소규모 인공호수를 조성함으로써 소수력발전소 인근지역의 경관개선과 관광자원화에 기여함은 물론 농업용수 공급과 하천유지수를 조정하여 안전한 하천으로서 그 기능을 하도록 계획한 것이다. 이와 병행하여 소수력발전소에서 발생한 무공해 청정에너지를 생산함으로써 전 세계적으로 관심이 높아지고 있는 '온실가스 배출 감축' 노력에 동참함으로써 선진형 기후변화 대응체계에 적응할 수 있다. 본 연구에서는 농업용 취수보를 대상으로 소수력 발전시설의 성능분석 기법을 이용하여 소수력발전시설적용 타당성을 조사 분석하였다. 그림 1은 농업용 취수보인 북평보의 유역면적도를 나타내고, 그림 2는 북평보에 소수력발전시설을 적용할 경우의 부하특성을 나타낸다.

• Proceedings of the KIPE Conference
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• 2007.07a
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• pp.58-60
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• 2007

국내 신재생에너지의 보급은 정부 보조금 지원을 통해 국내 지역별로 다양한 형태, 발전 용량으로 보급되고 있다. 그 중에서도 태양광 발전의 주택보급과 산간지역의 풍력발전 보급은 발전 규모와 설비가 대형화 되어 가고 있다. 본 논문에서는 이러한 발전 시스템 지원을 위한 지역 기후 현황 분석과 발전 시스템과의 연계를 통해 특성을 분석하고자 하였다.

• Proceedings of the KIEE Conference
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• 2008.10c
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• pp.170-173
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• 2008

제주의 전력계통은 HVDC로 육지계통과 연계되어 있으며 3곳의 풍력발전단지가 연계되어 있다. 향후 대규모의 풍력발전이 연계된 상황에서 HVDC Overhaul을 시행하거나 어떤 사고로 HVDC가 끊어진다면 제주계통을 정상적으로 유지하는 것이 어려울 수도 있다. 이에 본 본문은 Overhaul 기간에 한경풍력 2단계가 제주계통의 전력품질에 어떤 영향을 미치는지 분석하였다. Overhaul 기간에는 제주계통의 주파수가 매우 불안정하여 풍력발전량의 급격한 변동에 의하여 제주계통 전체의 주파수가 영향을 받는 것을 확인할 수 있었다.