• 제목/요약/키워드: Low Carbon Electricity

검색결과 72건 처리시간 0.028초

정부정책에 대한 경험이 수소 연료전지 자동차의 수용에 미치는 영향 (Impact of experience on government policy toward acceptance of Hydrogen fuel cell vehicles)

  • 강민정;박희준
    • 한국품질경영학회:학술대회논문집
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    • 한국품질경영학회 2010년도 춘계학술대회
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    • pp.465-470
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    • 2010
  • Korea government declared that "low carbon, green growth" through green technologies and clean energy to be the new national vision for the next 60 years(President's Liberation Day speech on Aug. 15, 2008). And succeeding "Green New Deal" plan involves nine core projects including energy saving, recycling, clean energy development. It is because hydrogen fuel cell vehicles, using electricity from chemical reaction of hydrogen and oxygen, let out water which is a by-product of such chemical reaction instead of emitting harmful particulate and gases such as NOX, SOX and CO2 that hydrogen fuel cell vehicles and its technology are drawing public attention as one of the sensible solutions in accomplishing "low carbon, green growth" agenda. Nevertheless There are many chances that let the people have a practical experience of hydrogen fuel cell vehicles. Sometimes new products, including hydrogen fuel cell vehicles, made by advanced technology can not penetrate through the market when it faces public skepticism that is stimulated from lack of knowledge and experience. That is the reason why not only cost benefit analyses and scientific risk assessments but also public acceptance studies toward hydrogen fuel cell vehicles have to be performed [Schulte, 2004]. This research address a need for comprehensive study on factors influencing public acceptance of hydrogen fuel cell car, specifically focusing on impacts of personal experience related to governmental science and technology policy toward public acceptance.

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도시패턴과 탄소배출량의 관계 분석 (An Analysis of Relationship between Carbon Emission and Urban Spatial Patterns)

  • 김인현;오규식;정승현
    • Spatial Information Research
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    • 제19권1호
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    • pp.61-72
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    • 2011
  • 전 지구적 기후변화인 지구온난화의 주원인으로 지목되고 있는 온실가스는 공간적으로 주로 도시에서 발생하고 있기 때문에 도시차원에서의 대책이 무엇보다 필요하다. 본 연구는 도시형태와 탄소발생량과의 관계를 분석하여 기후변화에 대응한 탄소배출저감형 도시의 형태를 제시하는 것을 궁극적인 목표로 삼고 있다. 이를 위해, 첫째로 도시형태에 대한 이론고찰을 수행하여 도시공간의 물리적 규모, 이용현황, 활동강도와 관련된 도시형태요소를 선정하였다. 둘째, 서울시를 사례로 전력, 도시가스, 지역난방, 석유, 상수도 사용량 자료를 이용하여 이산화탄소 배출량 지도를 작성하였다. 셋째, 이산화탄소 배출량과 도시형태요소와의 관계를 분석하여 도시공간에서 에너지 사용량에 영향을 주는 도시형태를 밝혀내고, 도시계획 측면에서의 시사점을 도출하였다. 본 연구에서 도시형태 요소와 이산화탄소 배출량간의 관계를 분석한 결과는 실제 에너지 사용량에 기반하여 이산화탄소 배출량을 산정하여 활용하였다는 점에서 기존 연구가 지닌 한계를 극복하고, 사례분석을 통해 구체적이고도 결과를 도출하였다는데 그 의의가 있다.

Effects of the move towards Gen IV reactors in capacity expansion planning by total generation cost and environmental impact optimization

  • Bamshad, Ali;Safarzadeh, Omid
    • Nuclear Engineering and Technology
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    • 제53권4호
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    • pp.1369-1377
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    • 2021
  • Nowadays, it is necessary to accelerate the construction of new power plant in face of rising energy demand in such a way that the electricity will be generated at the lowest cost while reducing emissions caused by that generation. The expansion planning is one of the most important issues in electricity management. Nuclear energy comes forward with the low-carbon technology and increasing competitiveness to expand the share of generated energy by introducing Gen IV reactors. In this paper, the generation expansion planning of these new Gen reactors is investigated using the WASP software. Iran power grid is selected as a case of study. We present a comparison of the twenty-one year perspective on the future with the development of (1) traditional thermal power plants and Gen II reactors, (2) Gen III + reactors with traditional thermal power plants, (3) Gen IV reactors and traditional thermal power plants, (4) Gen III + reactors and the new generation of the thermal power plant, (5) the new generation of thermal power plants and the Gen IV reactors. The results show that the Gen IV reactors have the most developing among other types of power plants leading to reduce the operating costs and emissions. The obtained results show that the use of new Gen of combined cycle power plant and Gen IV reactors make the emissions and cost to be reduced to 16% and 72% of Gen II NPPs and traditional thermal power plants, respectively.

전과정 평가기법을 활용한 미네랄 페이퍼의 탄소발자국 연구 (Carbon Footprint Analysis of Mineral Paper using LCA Method)

  • 김병직;강성민;이정우;사재환;김익;전의찬
    • 한국기후변화학회지
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    • 제4권3호
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    • pp.201-210
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    • 2013
  • 최근 들어, 온실가스 감축에 대한 관심이 증가함에 따라 인쇄산업에서도 온실가스 배출이 적은 친환경 제품 사용에 대한 요구가 증가하고 있다. 본 연구에서는 기존의 목재 펄프 인쇄 용지, 플라스틱 필름 및 합성지 등의 일반적인 인쇄 소재가 아닌 탄산칼슘을 주원료로 하는 미네랄 페이퍼(Mineral Paper)를 대상으로 탄소발자국을 전과정 평가 기법을 활용하여 분석하였다. 전과정 평가기법을 활용한 분석은 한국 탄소발자국 인증지침을 적용하였으며, 사용 및 폐기단계를 제외한 제조 전 단계와 제조단계를 연구 범위로 하였다. 연구 결과, 미네랄 페이퍼의 온실가스 배출계수는 $0.81kg\;CO_2eq/kg$이었으며, 전체 온실가스 배출에서 전기 사용에 의한 배출이 45.85%($0.37kg\;CO_2eq/kg$)로 산정되었다. 온실가스 배출량을 줄이기 위해서는 미네랄 페이퍼의 제조과정에서 제품 완성률을 높여 전기사용 효율 향상, 재생 에너지 사용과 같은 환경 부하가 상대적으로 적은 에너지 사용을 통해 환경 부하를 줄이는 노력이 필요하다.

한국의 스마트 그리드를 위한 신재생에너지원 생산과 활용률 간의 상관관계 분석 (Correlation Analysis between the Renewable Energy Source Generation and the Utilization for Smart Grid in Korea)

  • 현정석;박찬정;이정훈;박경린
    • 전기학회논문지
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    • 제66권2호
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    • pp.347-353
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    • 2017
  • In order to prohibit global warming, various kinds of regulatory policies have been established in the whole world. One example is the establishment of the Renewable Portfolio Standard. It requires the increased portion in energy production from renewable energy sources. The Republic of Korea adopted the act on the promotion of the development, use, and diffusion of new and renewable energy since 2012. However, in spite of the effort on the consideration of the renewable energy sources, it was reported the carbon intensity of electricity in Korea was not that low in 2015. Thus, it is required to examine the recent state of the utilization degree of the renewable energy sources in Korea. This paper analyzed the statistical data provided by Korea Power Exchange (KPX) to examine any problems and solutions for generating electricity from the renewable energy sources. We focused on the generation capacity provided by the power plants participated in the market, the electric power trading amount, and the utilization coefficient for 10 years. By analyzing the data, we provide an alternative to solve some imbalance among the factors contributing to renewable energy use.

META·Net모형을 이용한 탄소세와 에너지세의 정책효과 비교분석 (Analysis of the Impacts of Carbon and Energy Taxes on Energy on Energy System in Korea)

  • 신의순;김호석
    • 자원ㆍ환경경제연구
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    • 제12권2호
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    • pp.275-298
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    • 2003
  • 본 연구에서는 탄소세와 에너지세의 부과가 우리나라의 에너지수요에 미치는 영향과 두 조세의 정책효과를 META Net모형을 이용하여 분석한다. 본 연구는 CGE 모형이나 거시계량모형을 이용한 기존 연구와는 달리 상향모형인 META Net모형을 이용하여 탄소세와 에너지세가 우리나라의 에너지시스템에 미치는 영향을 비교분석하였다. 연구결과에 의하면 일정한 온실가스 감축량을 달성하는데 있어 탄소세가 에너지세보다 비용효과적이지만 국내 기후정책수단으로 에너지세 역시 중요한 정책수단임을 알 수 있다. 에너지세의 경우에 탄소세에 비해 에너지소비가 더 크게 감소하기 때문에 에너지절약과 에너지효율기술 개발의 더 큰 유인을 제공한다. 또한 에너지세는 주어진 탄소감축량을 에너지 열량 기반의 조세를 통해 달성하기 때문에 탄소세에 비해 에너지가격을 크게 상승시켜 탄소세에 비해 조세수입이 더 크다. 따라서 에너지세의 도입은 관련 기술개발에 대한 유인을 제공하는 동시에 그 개발에 필요한 재원을 조달하는 적절한 방법이 될 수 있을 것이다.

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A Short-Term Wind Speed Forecasting Through Support Vector Regression Regularized by Particle Swarm Optimization

  • Kim, Seong-Jun;Seo, In-Yong
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제11권4호
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    • pp.247-253
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    • 2011
  • A sustainability of electricity supply has emerged as a critical issue for low carbon green growth in South Korea. Wind power is the fastest growing source of renewable energy. However, due to its own intermittency and volatility, the power supply generated from wind energy has variability in nature. Hence, accurate forecasting of wind speed and power plays a key role in the effective harvesting of wind energy and the integration of wind power into the current electric power grid. This paper presents a short-term wind speed prediction method based on support vector regression. Moreover, particle swarm optimization is adopted to find an optimum setting of hyper-parameters in support vector regression. An illustration is given by real-world data and the effect of model regularization by particle swarm optimization is discussed as well.

Synthesis and Characterization of Graphene Counter Electrode By Electrophoretic Deposition for Dye-Sensitized Solar Cells

  • 최윤수;공재석;최현광;전민현
    • 한국진공학회:학술대회논문집
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    • 한국진공학회 2013년도 제44회 동계 정기학술대회 초록집
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    • pp.160-160
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    • 2013
  • Dye-sensitized solar cells (DSSCs) have attracted much attention because of their moderate light-to-electricity conversion efficiency, easy fabrication, and low cost. At present, platinum (Pt) is used as a counter electrode in DSSCs. However, it is found that Pt dissolves in iodide electrolyte solutions and creates chemical compound such as PtI4 and H2PtI6. Carbon based materials are one of candidates for a counter electrode of DSSCs. We prepare two types of graphite oxides by different chemical treatments; original graphite oxide, hydrazine treated graphite oxide. Each graphite oxide and magnesium nitrate dispersed in deionized water are prepared as solutions for electrophoretic deposition (EPD). Each graphite oxide electrode is deposited on fluorine-doped tin oxide (FTO) substrate by EPD method. Structural and electrochemical properties of each electrode are investigated by field-emission scanning electron microscopy and electrochemical impedance spectroscopy, respectively.

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CPD 모델을 활용한 석탄 가스화 과정 중 탄종에 따른 휘발분 배출에 관한 이론해석연구 (A Theoretical Analysis on Volatile Matter Release from Different Coals Using CPD Model During a Coal Gasification)

  • 김량균;이병화;전충환;장영준;송주헌
    • 대한기계학회논문집B
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    • 제33권12호
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    • pp.1000-1006
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    • 2009
  • Integrated Coal Gasification Combined Cycle (IGCC) power plants have been developed to reduce carbon dioxide emissions and to increase the efficiency of electricity generation. A devolatilization process of entrained coal gasification is predicted by CPD model which could describe the devolatilization behavior of rapidly heated coal based on the chemical structure of the coal. This paper is intended to compare the mass release behavior of char, tar and gas(CO, $CO_2,\;H_2O,\;CH_4$) for three different coals. The influence of coal structure on gas evolution is examined over the pressure range of 10${\sim}$30atm.

A Clustering Approach to Wind Power Prediction based on Support Vector Regression

  • Kim, Seong-Jun;Seo, In-Yong
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제12권2호
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    • pp.108-112
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    • 2012
  • A sustainable production of electricity is essential for low carbon green growth in South Korea. The generation of wind power as renewable energy has been rapidly growing around the world. Undoubtedly wind energy is unlimited in potential. However, due to its own intermittency and volatility, there are difficulties in the effective harvesting of wind energy and the integration of wind power into the current electric power grid. To cope with this, many works have been done for wind speed and power forecasting. It is reported that, compared with physical persistent models, statistical techniques and computational methods are more useful for short-term forecasting of wind power. Among them, support vector regression (SVR) has much attention in the literature. This paper proposes an SVR based wind speed forecasting. To improve the forecasting accuracy, a fuzzy clustering is adopted in the process of SVR modeling. An illustrative example is also given by using real-world wind farm dataset. According to the experimental results, it is shown that the proposed method provides better forecasts of wind power.