• 제목/요약/키워드: $CO_2$ emissions reduction

검색결과 417건 처리시간 0.022초

Regional allocation of carbon emissions in China based on zero sum gains data envelopment analysis model

  • Wen, Lei;Zhang, Er nv
    • Environmental Engineering Research
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    • 제21권1호
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    • pp.91-98
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    • 2016
  • Along with China's increasing share in global total $CO_2$ emissions, there is a necessity for China to shoulder large emission-mitigating responsibility. The appropriate allocation of $CO_2$ emission quotas can build up a solid foundation for future emissions trading. In views of originality, an optimized approach to determine $CO_2$ emissions allocation efficiency based on the zero sum gains data envelopment analysis (ZSG-DEA) method is proposed. This paper uses a non-radial ZSG-DEA model to allocate $CO_2$ emissions between different Chinese provinces by 2020 and treats $CO_2$ as the undesirable output variable. Through the calculation of efficiency allocation amounts of provincial $CO_2$ emissions, all provinces are on the ZSG-DEA efficiency frontier. The allocation results indicate that the cumulative optimal amounts of $CO_2$ emissions in 2020 were higher than the actual amounts in 13 provinces, and lower in other 17 provinces, and show that different provinces have to shoulder different mitigation burdens in terms of emission reduction.

전과정평가 방법론을 이용한 건물의 전과정 탄소 배출량 평가 및 분석에 관한 연구 (A Study on Analysis and Assessment of the LCCO2 Emissions for Building Construction by Using the Life Cycle Assessment Methodology)

  • 조수현
    • 한국건축시공학회:학술대회논문집
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    • 한국건축시공학회 2016년도 춘계 학술논문 발표대회
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    • pp.259-260
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    • 2016
  • Recently, world-wide focusing on the interest for the reduction of greenhouse gas emissions associated with climate change and global warming, South Korea also has set up a national greenhouse gas reduction target and action plans seeking to achieve them. In particular, in the construction area, to encourage green building certification of the building and carbon labeling acquisition of building products, in order to reduce the environmental impact caused by the industrial activities have been in steady efforts. Therefore, this study estimates the life cycle carbon footprint of building construction materials applied to carbon emissions reduction technology and analyzes the results. Through the CO2 emissions analysis in construction phase and maintenance phase of the building, it provides basic resource for future research expansion and establishes a step-by-step whole life cycle carbon emissions reduction plan in new construction and existing buildings.

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가솔린 기관의 에탄올혼합연료의 배출가스 특성에 관한 연구 (Emission Characteristics of a Gasoline Engine Using Ethanol Blended Fuel)

  • 조행묵;정동화
    • Journal of Advanced Marine Engineering and Technology
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    • 제28권3호
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    • pp.516-521
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    • 2004
  • In this paper, the effects of ethanol blended gasoline on emissions and their catalytic conversion efficiencies characteristics were investigated in gasoline engine with an electronic fuel injection. The results showed that the increase of ethanol concentration in the blended fuels brought the reduction of THC and $CO_2$ emissions from the gasoline engine. THC emissions were drastically reduced up to thirty percent. And brake specific fuel consumption was increased. but brake specific energy consumption was similar level. However. unburned ethanol and acetaldehyde emissions increased. The conversion efficiency of Pt/Rh based three-way catalysts and the effect of ethanol on CO and NOx emissions were investigated by the change of engine speed. load and air/fuel ratio. Furthermore, the ethanol blended fuel results in the reduction effect of THC. CO and NOx emissions at idle speed.

OECD 7개 국가의 CO2 배출량 감소요인 분해 분석 (Decomposition Analysis of the Reduction in CO2 Emissions from Seven OECD Countries)

  • 조향숙
    • 자원ㆍ환경경제연구
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    • 제26권1호
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    • pp.1-35
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    • 2017
  • 본 연구에서는 탄소세를 시행하고 있는 OECD 7개 국가를 대상으로 1995년부터 2013년 기간 동안 $CO_2$ 배출량 감소에 영향을 미치는 주요 요인에 대해 분해 분석을 실시하였다. 최근까지 진행된 $CO_2$ 배출량 변화에 대한 분해 분석 연구들은 기술에 기반을 둔 물리적인 요소에만 초점을 맞추고 있으나 본 연구는 경제적 감축수단인 탄소세의 효과를 반영하여 배출량 변화요인을 분석하였다. 로그 평균 디비지아 지수(Log Mean Divisia Index, LMDI)를 이용하여 분석한 결과, OECD 7개 국가의 총 $CO_2$ 배출량 감소에 가장 큰 기여요인은 에너지 집약도 효과와 탄소세 정책 효과로 나타났다. 다음으로, OECD 7개 국가별 분해분석 결과 에너지 집약도 효과가 배출량 감소에 가장 큰 영향을 주는 것으로 나타났으나, 탄소세 정책효과와 탄소세 세수효과는 국가별 정책 상황과 여건에 따라 상이하게 나타나는 결과를 보였다.

전자정부 G2B 시스템 도입에 따른 탄소저감효과 분석을 위한 모델 및 방법론 개발 (Development of a Model and Methodology for the Analysis of the $CO_2$ Emissions Reduction Effect through the Introduction of the G2B Systems in e-government : ECRE Approach)

  • 임규건;이대철;임미화;문종인
    • 한국전자거래학회지
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    • 제15권3호
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    • pp.163-181
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    • 2010
  • 최근 온난화 현상에 따른 범세계적 위기가 초래됨에 따라 선진국을 중심으로 교토의정서가 체결되었으며, 이를 계기로 온실가스 규제가 본격화되기 시작하였다. 또한 교토의정서의 교토유연성체계라는 시장메커니즘이 도입되어 온실가스 배출에 대한 소유권이 설정되고, 수급에 따라 배출권 가격이 형성되는 등 새로운 무형의 자원을 거래하는 탄소시장이 등장하게 되었다. 학계에서는 탄소배출효과를 측정하는 방법론과 이를 탄소배출권의 경제적 비용으로 전환하고자 하는 연구들이 태동하기 시작하였다. 본 연구에서는 전자정부 정보화사업 중 하나인 G2B 시스템을 통해 전통적인 조달업무 프로세스가 온라인화 됨에 따라 저감되는 탄소 배출저감효과 즉, e-transformation화에 따른 탄소저감효과를 측정하는 ECRE(Evaluation of $CO_2$ Reduction in E-transformation)모델과 절차를 제시하고자 한다. ECRE 모델은 세계 기후협의체(IPCC)의 방법론을 근간으로 하여 크게 '이동 수단에 따른 탄소저감효과', '종이 문서 절감에 따른 탄소저감효과' 2가지의 탄소배출량을 측정하고 이를 탄소배출권의 경제적 비용으로 환산한다. 또한 본 연구에서는 탄소저감효과를 효과적으로 측정하기 위하여 5단계와 10개의 세부절차로 구성된 절차를 제시하였다. 본 연구에서 제시한 ECRE 모델과 절차를 이용하여 정부기관은 물론 온실가스 규제를 받게 되는 에너지 환경기업 등에서 정보화사업을 통한 탄소감축 실적의 추정 및 추가적인 정보화사업 추진으로 기대되는 탄소저감효과를 사전에 시뮬레이션해 볼 수 있는 도구로서 활용이 기대된다.

Prediction of carbon dioxide emissions based on principal component analysis with regularized extreme learning machine: The case of China

  • Sun, Wei;Sun, Jingyi
    • Environmental Engineering Research
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    • 제22권3호
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    • pp.302-311
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    • 2017
  • Nowadays, with the burgeoning development of economy, $CO_2$ emissions increase rapidly in China. It has become a common concern to seek effective methods to forecast $CO_2$ emissions and put forward the targeted reduction measures. This paper proposes a novel hybrid model combined principal component analysis (PCA) with regularized extreme learning machine (RELM) to make $CO_2$ emissions prediction based on the data from 1978 to 2014 in China. First eleven variables are selected on the basis of Pearson coefficient test. Partial autocorrelation function (PACF) is utilized to determine the lag phases of historical $CO_2$ emissions so as to improve the rationality of input selection. Then PCA is employed to reduce the dimensionality of the influential factors. Finally RELM is applied to forecast $CO_2$ emissions. According to the modeling results, the proposed model outperforms a single RELM model, extreme learning machine (ELM), back propagation neural network (BPNN), GM(1,1) and Logistic model in terms of errors. Moreover, it can be clearly seen that ELM-based approaches save more computing time than BPNN. Therefore the developed model is a promising technique in terms of forecasting accuracy and computing efficiency for $CO_2$ emission prediction.

온실가스·에너지 목표관리제 및 배출권거래제 대상 기업의 명세서를 이용한 온실가스 감축 실적 분석 (Analysis of CO2 Reduction effected by GHG·Energy Target Management System (TMS) and Korea Emissions Trading Scheme (ETS))

  • 이세림;조용성;이수경
    • 한국기후변화학회지
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    • 제8권3호
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    • pp.221-230
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    • 2017
  • There are two main policies to meet the national goal of reducing Greenhouse Gases (GHGs) emissions in Korea towards Paris Agreement. From 2012 to 2014, Target Management System (TMS) was operated and the Emissions Trading Scheme (ETS) has been established since 2015. To compare the impact of TMS and ETS on reducing GHGs, we collected annual GHGs emission reports submitted by individual business entities, and normalized them using a z-variant normalized function. In order to evaluate the impact of those policies, we calculated the amount of GHGs emissions of 73 business entities from 15 business sectors. Those entities emitted $508million\;CO_2eq$, which is 74% of total national GHGs emissions in 2014. The main results of analysis indicate that accumulated GHGs emissions during the period 2012 to 2014 affected by TMS was higher than the national goal of GHGs emission reduction, and only the GHGs emissions in 2014 were in the range of allowed GHGs emissions, set by the Government. In 2015, when ETS initiated, total GHGs emission trading was $4.84million\;tCO_2eq$, which is only 0.9% of total allowance in 2015. However, more than 50% of business entities, who got the allowance of GHGs emission given by the Government, met the goal of GHGs emissions. Particularly, 27 of 73 business entities reduced GHGs more under the ETS rather than the TMS. Even though we analyzed only 4 years' data to demonstrate the impact of TMS and ETS, it is expected to commit the national goal of GHGs reduction target by TMS and ETS.

2050 탄소중립 시나리오를 적용한 창원시 에너지부문 온실가스 배출산정 및 시나리오 분석 (An Estimation of Greenhouse Gases (GHGs) Emissions from Energy Sector in Changwon City and Scenario Analysis Based on the Application of Carbon Neutral by 2050 in Korea )

  • 김하늘;정재형
    • 한국환경과학회지
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    • 제32권6호
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    • pp.419-428
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    • 2023
  • This study estimates the greenhouse gases (GHGs) emissions from energy sector of Changwon city from 2012 to 2020 and scenario analysis of GHGs reductions pathways in the context of the goal of 2030 NDC and 2050 carbon neutral scenario in Korea. As a result, the GHG emissions as a reference year of carbon neutral in 2018 were estimated as 8,872,641 tonCO2eq accounting for 3,851,786 tonCO2eq (43.6%) of direct source (scope 1) and 4,975,855 tonCO2eq (56.4%) of indirect source (scope 2). Especially, among indirect sources as purchased electricity, manufacturing sector emitted the largest GHG accounting for 33.0%(2,915 thousands tonCO2eq) of the total emissions from all energy sectors, scenario analysis of GHG reductions potential from the energy was analyzed 8,473,614 tonCO2eq and the residual emissions were 354,027 tonCO2eq. Purchased electricity and industry sector reducted the largest GHG accounting for 58.7%(4,976 thousands tonCO2eq) and 42.1%(3,565 thousands tonCO2eq) of the total emissions from all energy sectors, respectively.

토지이용변화에 따른 식생 및 토양의 이산화탄소 저감잠재량 분석 (The Analysis of Potential Reduction of CO2 Emission In Soil and Vegetation due to Land use Change)

  • 이동근;박찬
    • 한국환경복원기술학회지
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    • 제12권2호
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    • pp.95-105
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    • 2009
  • Land Use Changes (LUCs) have effects on greenhouse gas emissions and carbon stocks in soil and vegetation. Therefore, predictions for LUC are very important for achieving quantitative targets of $CO_2$ reduction rates. Some research exists on carbon fluxes and carbon cycles to estimate carbon stocks in terrestrial ecosystems in Korea. However, these researches have limitations in terms of helping us understand future potential reductions of $CO_2$ that reflect the influence of LUC. The aim of this study is to analyze the reduction levels of $CO_2$ emissions while considering LUC scenarios that effect carbon fluxes for LCS basic study in the year 2030. In this study, a common approach to model the effects of LUC on carbon stocks is the use of CA-Markov technical process with LUC patterns in the past. Potential reduction of $CO_2$ is calculated by change of land use that contains different soil organic carbon, each land use type, and biomass in vegetation. An IPCC analytical method of natural carbon sink and coefficient results from previous study in Korea is used as a calculation method for potential reduction of $CO_2$. As a result, 12,419 KtC will be reduced annually, which is 8.3% percent of 2005 $CO_2$ emissions in Korea. This will result in 3,226 hundred million won of economic efficiency. In conclusion, conservation of natural carbon sinks is necessary even if the amount of potential reduction change is little.

건축물 에너지효율등급 인증현황분석을 통한 CO2 배출량 평가 베이스라인 연구 (Study of the Assessment Baseline of Carbon Dioxide Emissions based on the Analysis of Building Energy Efficiency Rating System)

  • 정호건;신성우;이병호
    • KIEAE Journal
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    • 제13권4호
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    • pp.11-19
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    • 2013
  • The purpose of this study is to establish the assessment baseline of $CO_2$ emissions from building operations in the view of GHG reduction policy in Korea. The assessment baseline of $CO_2$ emissions shall be used in GHG policy and Carbon Credits in building sectors, but the assessment baseline has not been studied enough or established yet. Also, $CO_2$ emissions from building operations will be variable according to the building occupancy. Therefore the baseline will be different and this study aimed at the establishment of the assessment baseline for residential apartments and office buildings firstly. After reviews of BEER and international standards for building $CO_2$ emissions such as ISO and UNEP-SBCI documents, the analysis of BEER certification data has been pursued for 292 residential apartment complexes and 65 office buildings in South Korea during 2004~2012. As analysis results, the assessment baseline was set to 23.03 $kg{\cdot}CO_2/m^2{\cdot}yr$ or 1.95 $t{\cdot}CO_2/unit{\cdot}yr$ for residential apartment complexes, and 95.91 $kg{\cdot}CO_2/m^2{\cdot}yr$ for office buildings according to the BEER certification basis. Additional assessment baselines were calculated according to year basis, region basis, public and private basis, and GHG policy basis. Finally, the established baseline for residential apartment complexes has been applied for the pilot project in M district, Seoul, and showed 24.97% reduction rate according to the BEER certification basis.