• Korea Petroleum Association Journal
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• no.3 s.193
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• pp.38-40
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• 1997

• Journal of Energy Engineering
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• v.23 no.1
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• pp.7-20
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• 2014

The optimal woodchip production system was developed and the production cost of a forest woodchip fuel was calculated for utilizing the pitch pine, which covers around 480,000ha nationwide. the marginal price of the woodchip fuel considering the factor of supply price, electricity and heat selling price as well as capacity factor were suggested and the economic sensitivity analysis was conducted for various scenario. The most important variable which determine economic feasibility was a fuel cost for the power generation facility. If the electricity price is higher than the current SMP(System Marginal Price) or the capacity factor is higher than 80%, there fully is a benefit to consume the woodchip fuels produced in the suggested production system in this study. In addition, the additional benefit becomes more obvious when considering REC(Renewable Energy Certificate) and CDM(Clean Development Mechanism). Therefore, it is strongly suggested for domestic power generation sector to utilize the forest biomass fuel to achieve the obligatory target of RPS.

• 한국신재생에너지학회:학술대회논문집
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• 2005.06a
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• pp.573-576
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• 2005

대표적인 신$\cdot$재생에너지의 시장확대 정책으로 RPS와 기준가격의무구매제가 주요 선진국에서 실시되고 있으며 자국의 자원부존과 경제사회여건에 맞춰 적합한 정책수단을 선택하고 있음. RPS 실시국가에서 RPS는 특별법으로 제정되어 실시효과를 극대화하고 있으며, 신$\cdot$재생에너지발전 인중서의 거래를 포함시켜 시너지효과를 거두고 있음. RPS의 단일의 최적모델은 존재하지 않으며 기본설계와 세부사항은 각 국의 고유의 자원부존 여건 및 경제사회적 특징에 따라 달라짐. RPS의 국내도입이 전력시장과 국민경제에 미치는 영향은 그리 크지 않으며 외부효과를 감하면 편익을 초래함. 또한 수요조사결과 RPS에 대한 선호도가 비교적 높게 나타나며 산$\cdot$ 재생에너지발전의 시장확대 수단으로 높은 점수를 매기고 있음 그러나 RPS의 기본설계를 신중히 가져가야 할 것이며, 법제도 정비에 임해서는 기존에 실시되고 있는 기준가격우선구매제도(발전차액보전)의 고려해야 함.

• Journal of the Korea Society for Simulation
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• v.23 no.4
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• pp.1-8
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• 2014

Cloud computing helps big data processing to make various information using IT resources. The government has to start the RPS(Renewable Portfolio Standard) and induce the production of electricity using renewable energy equipment. And the government manages system to gather big data that is distributed geographically. The companies can purchase the REC(Renewable Energy Certificate) to other electricity generation companies to fill shortage among their duty from the system. Because of the RPS use voluntary competitive market in REC trade and the prices have the large variation, RPS is necessary to predict the equitable REC price using RPS big data. This paper proposed REC price prediction method base on fuzzy logic using the price trend and trading condition infra in REC market, that is modeled in cloud computing environment. Cloud computing helps to analyze correlation and variables that act on REC price within RPS big data and the analysis can be predict REC price by simulation. Fuzzy logic presents balanced REC average trading prices using the trading quantity and price. The model presents REC average trading price using the trading quantity and price and the method helps induce well-converged price in the long run in cloud computing environment.

• Korea Petroleum Association Journal
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• no.7 s.65
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• pp.52-57
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• 1986

• Korea Petroleum Association Journal
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• no.3 s.193
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• pp.46-47
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• 1997

• Journal of Digital Convergence
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• v.16 no.7
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• pp.1-8
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• 2018

In Korea, water supply capacity and facility investments had been emphasized around the 1980s. The water pricing have gained focuses in water policy since the 1990s. This study analyzes a water demand and estimates the relation of water demand and other socio-economic variable, using econometric models on the city of Busan. Water price and income are two key elements to explain water demand. Modeling approach using translog function provides better results, and water demand responds positively to population and income. Energy and water prices are negative factors in deciding water demand. It is requested that water pricing needs to reflect more production costs. Alternative approaches such as water saving facilities by household and use of digital water information should be emphasized for efficient water management in a local community.

• 한국신재생에너지학회:학술대회논문집
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• 2006.11a
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• pp.273-276
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• 2006

신재생에너지의 효율 향상을 위한 시스템 개발과 병행하여 검토되어야 할 부문이 경제성 분석이다. 본 논문은 제주도 전력계통에 연계하여 운영중인 풍력발전의 자원과 발전량을 모의하기 위하여 제주도의 전력수요와 발전설비 특성, HDVC 수전 데이터, 풍속 등의 자료를 기반으로 가격예측을 위한 범용 소프트웨어들을 사용하여 에너지 시장 측면에서 풍력발전이 갖는 경제적 가치를 분석하였다.

• 열병합발전
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• s.19
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• pp.34-34
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• 2001

• Korea Petroleum Association Journal
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• no.5 s.183
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• pp.24-27
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• 1996