• 전기학회논문지
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• 제61권4호
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• pp.534-541
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• 2012

This paper tries to elicit an optimal generation mix of Korea. Two approaches, using the screening curve method and taking advantage of a generation expansion planning tool, WASP-IV, are applied in getting the mix. The data used in this study is based on the 5th basic plan for long-term electricity supply and demand. The Load Duration Curve, that is needed for applying Screening Curve Method(SCM), is made based on the load profile in 2010. In our using SCM, the nuclear plant's operation characteristic, carbon emission cost and spinning reserve are considered. In using WASP-IV to get the adequate generation mix, the base and target demand forecasts in the 5th basic plan are used and the carbon emission cost is also considered. In this paper, It introduces the domestic adequacy generation mix in 2024 though SCM and WASP-IV.

• 한국입자에어로졸학회지
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• 제10권1호
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• pp.19-25
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• 2014

In line with the expected price reduction of natural gas associated with the introduction of shale gas, it is expected that the optimal power mix for the electric power generation be changed. In this study, the reconfigured power mix is estimated with the varying natural gas price by using the Screening Curve Method (SCM). It is found that about 3% and 9% coal in the overall power mix is replaced with natural gas if the natural gas price falls 20% and 40% of the current price, respectively. It is also found that the reconfigured power mixes would provide the reduction of the emissions of air pollutants which are equivalent to 369 and 807 MUS$.

• 대한전기학회논문지:전력기술부문A
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• 제55권12호
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• pp.570-575
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• 2006

This paper develops methodology in order to consider CHP(Combined Heat and Power) capacity in the Basic Plan of Long Term Electricity Supply & Demand. We develop generating cost of CHP considering electric and heat. Also we develop mixed load duration curve which includes the electric load and heat load and then apply CHP capacity to SCM(Screening Curve Method) considering CHP feature. Accordingly, it decide the optimal CHP capacity in the Basic Plan of Long Term Electricity Supply & Demand. Also, We perform the sensitivity analysis according to cost variation.

• 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.

• 에너지공학
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• 제16권1호
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• pp.22-31
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• 2007

본 논문에서는 전력수급기본계획에 열병합발전설비의 최적용량을 반영할 수 있는 방법론을 개발하였으며 이에 따른 효과를 분석하였다. 이를 위해 열병합발전의 계획발전원가를 새로이 산정하여 심사곡선법(Screening Curve Method : SCM)을 이용한 정태적 최적 전원을 구성하였다. 이때, 열병합발전은 전기와 열을 생산하는 것이 가장 중요한 특징이므로 이를 고려할 수 있도록 열병합발전의 전기용량과 열용량을 모두 고려할 수 있는 계획발전원가를 도출하였다. 또한, 심사곡선법을 적용시키기 위한 부하지속곡선의 경우도 열병합발전의 특징을 고려하여 전기 및 열 부하지속곡선을 구성하여 적용하였다. 이때, 현재 수립된 전력 수급기본계획을 최대한 수정하지 않는 범위 내에서 열병합발전설비를 반영하도록 하였다. 열병합발전 건설계획을 반영한 계획안의 타당성을 증명하기 위해서 열병합발전 건설계획을 반영한 계획안과 전력수급기본계획을 비교 하였다. 즉, 발전량 기대치를 산출하여 발전원별 연료소비량 및 환경에 미치는 영향을 도출함으로써 열병합발전의 반영에 대한 효율성을 입증하였다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2006년도 제37회 하계학술대회 논문집 A
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• pp.521-522
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• 2006

This paper calculates co-generation generating capacity for the electric supply and demand. CHP is applied to SCM(Screening Curve Method) to calculate CHP generating capacity On the other hand, small co-generation is applied to potential area conversing small co-generation generating capacity considering economic analysis and useful life. these methods executed project scheduled to construction plan. Accordingly, EES(Expected Energy Served), Fuel type consumption and CO2 effects is analyzed by Booth-Baleriaux and data