• 한국기후변화학회지
• /
• 제9권4호
• /
• pp.407-421
• /
• 2018

In this paper, I analyze the GHG (greenhouse gas) emission factor of the domestic railway transportation sector using the LMDI (Log Mean Divisia Index) methodology. These GHG factors are the emission factor effect, energy intensity effect, transportation intensity effect, and economic activity effect. The analysis period was from 2011 to 2016, and the analysis objects were an intercity railway, wide area railway, and urban railway. The results show that the GHG emission of railway transportation sector decreased during these 6 years. The factors decreasing the GHG emission are the emission factor effect, energy intensity effect, and transportation intensity effect, while the factor increasing the GHG emission is the economic activity effect.

• 한국철도학회:학술대회논문집
• /
• 한국철도학회 2011년도 정기총회 및 추계학술대회 논문집
• /
• pp.1315-1319
• /
• 2011

As government's policy is enacted to reduce greenhouse gas emission in transportation sector, railroad sector has to estimate amount of emission and propose feasible methods to reduce emission. To calculate accurate emission of railroad sector, we performed a study on the calculation model development for Tier 3 GHG emission factors. According to IPCC guide line, Tier 3 emission factor reflects individual characteristic of diesel locomotive. For this reason, we estimated GHG emission factor by stratified diesel locomotive and the result show difference of emission factor by notch changing. Therefore, the analysis of notch frequency during operation is required to develop Tier 3 emission factor, and we analysed a running pattern of diesel locomotive. As a result, idle and 8 notch consist about 70% of total running distance. In conclusion, the calculation model suppose that Tier 3 GHG emission factor is the sum of multiplied emission factor by weights in each notch. This result can contribute to Tier 3 emission factor calculation and reduction method development of emission in railroad sector by managing driving efficiency and technology development.

• 한국대기환경학회지
• /
• 제28권4호
• /
• pp.423-434
• /
• 2012

This study was carried out to develop for the emission factor of greenhouse gas (GHG) from medium and smallscaled incineration facility using RPF which is considering as a part of renewable energy in UNFCC. The actual concentration of the exhaust gas and the fuel composition of RPF were measured for the calculation of GHG emission factor in RPF incinerators, and were compared with the IPCC guideline. The $CO_2$ and $N_2O$ emission factors by the actual concentration of exhaust gas were $2.3575{\pm}1.0070tCO_2/tRPF$ and $0.0014{\pm}0.0014tN_2O/tRPF$ respectively. Also, $CO_2$ emission factor by the RPF composition was $2.7057{\pm}0.0540tCO_2/tRPF$. The GHG emission factor per energy by the actual concentration was $83.0867{\pm}26.0346tCO_2e/TJ$ which showed higher consistency with the GHG emission factor ($80.3967tCO_2e/TJ$) of waste plastic in the IPCC guideline (2006b). The $CO_2$ and $N_2O$ emission factor calculated in this study is considered as a meaningful data for GHG emission factor of RPF incineration facility because of not being developed in ROK.

• 한국철도학회:학술대회논문집
• /
• 한국철도학회 2010년도 춘계학술대회 논문집
• /
• pp.2258-2261
• /
• 2010

Since national mid-term target for GHG reduction was determined in 2009, various efforts in transportations have been prepared. Generally, the GHG emission of transportation is calculated using the emission factor published from IPCC guideline(2006). However, it is necessary to develop new emission factors considering the properties of transportation as well as fuel. In Korean railroad, main emission sources are the consumption of diesel and electricity from railcar operation. The GHG emission of electric-powered railcars can be estimated using national electric emission factor, but diesel-powered railcars show different trends. The purpose of this study was to establish the development plans of emission factors for diesel-powered railcars. As a result, the emission factors of diesel-powered railcars were classified into railcar type, engine type and life cycle, notch, load, and traffic volume. In future, several emission factors with this category will be presented quantitatively through field tests with the order of priority.

• 한국철도학회:학술대회논문집
• /
• 한국철도학회 2009년도 춘계학술대회 논문집
• /
• pp.828-830
• /
• 2009

In Korea, various efforts to cope with the Post-Kyoto system have been recently performed because a duty for the GHG(Greenhouse Gas) reduction may be allocated from 2013. Especially, the role of railroad has been strengthened to decrease total GHG emission of transportation system. Therefore, it is necessary to investigate the GHG emission and the reduction strategies of railroad. The purpose of this study was to develop the calculation method of GHG emission released from railroad. Main source of GHG emission was the energy consumption of railroad vehicle and infrastructure. Based on the emission factor and the equation reported in IPCC 2006 guideline, the total GHG emission of railroad was about 1.4 million tons CO2e in 2007. Using this calculation method, the GHG data of railroad can be calculated quantitatively and managed systematically in the future.

• 한국대기환경학회지
• /
• 제30권2호
• /
• pp.150-160
• /
• 2014

Greenhouse gas (GHG) and Air Pollution (AP) emission inventories have been constructed and estimated independently up-to-date in Seoul. It causes difficulty in GHG and AP integrated management due to a difference in emission inventories. In this study, we constructed GHG and AP integrated emission inventories for direct and indirect sources in Seoul during the year 2010 in Energy activities for estimating GHG and AP emissions were derived from IPCC guideline, guidelines for local government greenhouse inventories, air pollutants calculation manual, and Indirect Emission Factors (IEF) reported by Korea Power Exchange. The annual GHG emission was estimated as 50,530,566 $tonCO_{2eq}$, of which 54.8% resulted from direct sources and the remaining 45.2% from indirect sources. Among direct sources, transportation sector emitted the largest GHG, accounting for 47.3% of the total emission from direct sources. As with indirect sources, purchased electricity sector only emitted 98.6% of the total emission from indirect sources. The annual AP emission was estimated as 283,701 tonAP, of which 85.9% was contributed by the combined AP emissions of transportation and fugitive sectors. Estimation of individual air pollutant showed that the largest source were transportation sector for CO, $NO_x$, TSP, $PM_{10}$ and NH3, non-energy sector for $SO_x$, and fugitive sector for VOCs. This study found some limitations in estimating GHG and AP integrated emissions, such as nonconforming emission inventories between GHG and AP, and no indirect AP emission factor of purchased electricity, and so on. Those should be further studied and improved for more effective GHG and AP integrated management.

• 한국기후변화학회지
• /
• 제9권1호
• /
• pp.81-90
• /
• 2018

"The Framework Act on Low-Carbon Green Growth" specifies the requirements for the development and verification of emission factors for establishing reliable national greenhouse gas statistics. The scope of the regulations covers the development and validation of energy, industrial processes, solvents and other product use, agriculture, land use, land use change and emission and absorption coefficients of the forestry and waste sector as defined in the 1996 IPCC Guideline and GPG 2000, The minerals sector to be covered in this study belongs to industrial processes. As a representative method for quantifying and evaluating GHG emission factors, there are emission grade quality grading and DARS (Data Rating Rating System) in the 'Procedures for Preparing Emission Factor Documents (1997)' reported by US-EPA. However, the above two methods are not specific and comprehensive, and lack the details for accurate emission factor verification. Therefore, there is a need for a method for verifying and quantifying certified greenhouse gas emission factors that reflects characteristics of each industry sector in Korea and accord with IPCC G/L and GHG target management. In this study, we conducted a weighted study on quantitative and evaluation lists of emission factor using questionnaires to develop a more accurate methodology for quantifying national greenhouse gas emission factors in the mineral sector. Quantification and evaluation of emission factor are classified into essential verification and quality evaluation. The essential verifications are : administrative compatibility, method of determining emission factors, emission characteristics, sampling methods and analysis methods, representativeness of data. The quality evaluations consisted of the quality control of the data, the accuracy of the measurement and analysis, the level of uncertainty, not directly affect the emission factor, but consisted of factors that determine data quality.

• 기술혁신학회지
• /
• 제11권2호
• /
• pp.264-286
• /
• 2008

2006년 우리나라의 에너지 사용은 총수입액(28%), 해외의존(97%), 온실가스배출(83%-year 2004)의 비중을 차지하고 있어, 경제나 환경 정책에서 매우 중요한 산업분야이다. 그러나 현실적으로 국내 에너지사용에 따른 온실가스 배출 추계는 산업별 사용량에 국제기구가 권고한 계수를 곱해 사용하는 수준에 머물고 있다. 이러한 수준으로는 post Kyoto Protocol을 통한 개도국의 참여를 강제하려는 새로운 패러다임에 대응할 논리와 정책을 바르게 수립할 수 없다. 본 연구는 한국은행이 발간한 2000년 산업연관표를 기반으로 이형단위 산업연관표를 작성하고, 이를 통해 경제 구성 부문별로 에너지 사용에 따른 온실가스 배출 특성을 분석하였다. 분석은 네가지 측면에서 이루어졌으며, 이는 섹터별 온실가스 배출 밀도 추정, 각 그룹에서 온실가스 배출을 야기한 연료원별 기여도 측정, 산업별 배출계수의 산정, 그리고 국가 총배출량 추정이다. 여기서 추정한 배출량은 온실가스 배출에 관한 국가 공식 통계치와 비교 검증하였다. 연구 접근법은 에너지의 직접사용 과정에서 배출되는 온실가스의 양 뿐만 아니라 배출을 유발하는 간접원인까지도 분석하고 있어, 최근 확산되고 있는 전과정분석(Life Cycle Analysis) 개념에 적합한 모형이다. 이 모형은 향후 온실가스 저감 정책 수립의 중요한 기반이 될 것으로 기대한다.

• 한국농공학회논문집
• /
• 제65권5호
• /
• pp.69-80
• /
• 2023

Carbon neutrality in agriculture can be derived from systematic GHG reduction policies based on quantitative environmental impact analysis of GHG-emitting activities. This study is to explore how to advance the calculation of carbon emissions from agricultural activities to the detailed spatial level to a spatial Tier 3 level (Tier 2.5 level), methodologically beyond the Tier 2 approach. To estimate the GHG emissions beyond the Tier 2.5 level by region for detailed spatial units, we constructed available activity data on carbon emission impact factors such as rice cultivation, agricultural land use, and livestock. We also built and verified detailed data on emission activities at the field level through field surveys. The GHG emissions were estimated by applying the latest national emission factors and regional emission factors according to the IPCC 2019 GL based on the field-level activity data. This study has significance that it explored ways to build activity data and calculate GHG emissions through statistical data and field surveys based on parcels, one of the smallest spatial units for regional carbon reduction strategies. It is expected that by utilizing the activity data surveyed for each field and the emission factor considering the activity characteristics, it will be possible to improve the accuracy of GHG emission calculation and quantitatively evaluate the effect of applying reduction policies.

• 한국건설관리학회논문집
• /
• 제18권1호
• /
• pp.74-82
• /
• 2017

2011년부터 온실가스 에너지 목표관리제와 같은 국가적 온실가스 감축 규제가 대학에도 적용되기 시작하면서 2000년대 급속한 증가를 보이는 것으로 알려졌던 대학의 온실가스 배출량은 2011년 이후 안정세 및 하락세를 보여 오고 있다. 따라서, 온실가스 배출 규제의 시행을 계기로 대학사회가 온실가스 에너지에 대한 관리를 강화하고 있고 그 효과가 나타나고 있다고 이야기할 수 있게 되었다. 특히, 보다 강력한 제도적 속성을 지닌 배출권거래제 시행 준비 시기에는 총량이 줄어드는 결과를 보이는 등 온실가스 다배출 대학을 중심으로 감소하는 추세로 전환되었다고 평가할 수 있다. 본 연구에서는 개별 대학의 온실가스 감축 활동을 세부적으로 추적하지는 않았지만 온실가스 배출에 영향을 끼치는 주요 활동도 자료를 분석하였고, 그 결과 대학의 온실가스 배출이 2011년 이전에는 연구수혜액, 그리고 2013년 이후에는 연면적의 변화가 영향을 주는 것을 확인하였다. 이에, 향후 대학의 온실가스 감축 목표 설정 원단위는 연면적을 기준으로 하는 것이 바람직하다고 판단되며, 보다 체계적인 대학의 온실가스 감축을 지원하기 위한 면적 단위 온실가스 배출량의 기준 수립과 관련 정보 공유가 필요하다고 할 수 있다.