• 한국유기농업학회지
• /
• 제19권1호
• /
• pp.23-38
• /
• 2011

● The current world is suffering abnormal climate caused by global warming. The main cause of global warming is greenhouse gas such as carbon dioxide. The carbon labeling system and carbon traceability system being pushed ahead in the agricultural sector is the policy for responding to climate change to reduce greenhouse gas emissions. To make this policy more effective and enhanced, the amount of carbon emissions should be calculated based on the kind of crops or the various businesses in the agricultural sector. Therefore, in order to estimate the accurate amount of carbon emissions, it is necessary to establish carbon dioxide emission intensity of various agricultural materials added onto the agriculture, and to calculate the amount of carbon dioxide emission for each crop according to agricultural production. The purpose of this study is to establish the amount of emission, emission per agricultural materials, of agricultural materials being added for crop production as a basic step, and emission intensity which can be used in the future market in order to estimate accurate amount of carbon emission in all the policies being promoted in the agricultural sector. Therefore, in this study, in order to build LCI D/B about organic fertilizers among many organic materials added onto the organic agriculture sector, one leading company in organic fertilizer production was selected and LCA was conducted for this leading company. We had to build the intensity and integrated average concept of intensity upon the two cases once production farmers for their own consumption and farms besides organic fertilizer company were categorized even if it's little amount. But in this study, individually produced organic fertilizers were excluded. Calculated results are following. Carbon emission of mixed expeller cake fertilizer in organic fertilizer was 1,106,966.89kg-$CO^2$ and emission intensity was 0.01606kg-$CO^2$, respectively. Total emission of mixed organic fertilizers was 241,523.2kg-$CO^2$ and emission intensity was 0.01705kg-$CO^2$. And total emission of organic compound fertilizers was 94,592.66kg-$CO^2$ and emission intensity was 0.01769kg-$CO^2$, respectively.

• 자원ㆍ환경경제연구
• /
• 제18권2호
• /
• pp.279-309
• /
• 2009

산업에서 발생되는 온실가스를 줄이기 위해서는 각 산업별 온실가스 발생량을 정확히 예측해야 한다. 이에 본 연구에서는 2003년 산업연관표와 에너지 사용량 통계자료를 기초로 401개 산업별 직 간접 $CO_2$ 원단위를 산출하고 이를 활용하는 방안을 검토하였다. 본 연구는 국내에 없는 일부 데이터 대신 해외 데이터 사용, 석유정제부문에 대한 분배 문제, 카본뉴트럴 측면에서 재검토 필요성, 폐기물처리 부문 과정의 일부 미고려 등에 따른 결과의 한계를 가지고 있다. 그럼에도 불구하고 부산물로 얻어지는 코크스로가스나 철강계 가스, 자원순환 관점에서 주목받고 있는 폐기물 영향까지를 고려한 401개 상세 산업별 직 간접 $CO_2$ 원단위를 산출했다는 측면에서 의미가 있다. 산업별 $CO_2$ 배출 원단위 분석 결과를 살펴보면, 간접 $CO_2$ 원단위가 크게 나타난 대표적인 산업으로는 조강, 레미콘, 선재 및 궤조, 주철물, 철근 및 봉강 산업이다. 이들 산업은 직접 $CO_2$ 원단위가 큰 산업에서 생산된 원료물질을 이용하여 제품을 생산하고 있다. 직접 $CO_2$ 배출 원단위가 크게 나타난 대표적인 산업으로는 시멘트, 선철, 석회 및 석고 제품, 석탄화합물 등 자연으로부터 채취한 원광석 등을 이용하여 다른 산업에 유용한 원료물질로 정제하는 산업이었다. 본 연구 결과는 산업별 특성이 반영된 저감 목표치 산정, $CO_2$ 저감정책별 감축 잠재량 산정, 기업의 $CO_2$ 배출량 수준 파악 및 저감 목표량을 설정할 때 유용하게 활용될 수 있다. 그 밖에도 국내에서 활발히 연구되고 있는 환경경제통합계정, 산업별 물질흐름분석 분야에서 널리 응용될 수 있을 것이다.

• 무역학회지
• /
• 제47권3호
• /
• pp.157-175
• /
• 2022

This study calculates agglomeration indices of manufacturing specialization and diversification in different regions of South Korea. Two types of agglomeration indices are introduced into the spatial durbin model (SDM) to analyzes the effects of manufacturing agglomeration in Korea on CO₂ emission intensity. The subjects of this study are 17 regions of South Korea , and the research period is from 2013 to 2019. This study also uses partial differential to analyze the direct and spillover effect of specialization and diversification agglomeration on CO₂ emission intensity. From the perspective of direct effect, the results reveal that specialization agglomeration is an important factor contributing to Korea's CO₂ emissions. However, diversification agglomeration has an obvious CO₂ emission reduction effect. From the perspective of spillover effect, this study finds that specialization agglomeration in one region can also contribute to CO₂ emissions in nearby regions. However, the development of diversification agglomeration in one region can have CO₂ emission reduction spillover effect on neighboring regions.

• 한국기후변화학회지
• /
• 제6권2호
• /
• pp.143-158
• /
• 2015

This study developed the emission intensity estimation method of GHGs by considering the characteristics of the models and time series. The telematics device was installed on the vehicle (OBD-II) to collect information on the operation conditions from each sample vehicle of public authorities. As a result of comparing the mileage distance and fuel consumption, the matching degree is analyzed very high, showed a ${\pm}1{\sim}4%$ error for each vehicle. By comparing driving record diary of vehicles managed by public authorities, this study presents the method that can be used to verify driving information in order to derive the GHGs emission intensity.

• 자원ㆍ환경경제연구
• /
• 제15권3호
• /
• pp.425-450
• /
• 2006

산업부문은 생산 활동을 담당하는 특성 때문에 많은 에너지를 소비하고 많은 $CO_2$를 배출한다. 산업부문 중에서 에너지다소비산업이라고 일컬어지는 산업들은 다른 산업에 비해서 에너지소비가 많고 $CO_2$ 배출을 많이 하므로 관련정책의 목표대상으로서 우선적으로 거론된다. 그러나 해당 산업의 생산액과 $CO_2$ 배출량을 사용하는 환경원단위는 해당 산업만의 환경오염물질 배출의 정도를 측정하기에는 적합하지만, 산업들이 유기적으로 연결되어 서로 생산품을 수요하고 공급하고 있는 점을 고려한다면 환경원단위를 확대시킨, 그리고 산업 전체를 고려하는 지표로 해당 산업의 환경물질의 배출 정도를 평가해야 한다. 이에 본 논문에서는 우리나라의 환경산업연관표 2000을 작성하고, 에너지다소비산업 외에 전 산업을 대상으로 하여 산출액기준 및 열량기준의 환경원단위와, 이를 보다 확대하고 산업의 유기적 관계까지를 모두 고려하는 유발 $CO_2$ 발생량을 추정하여 우리나라의 경제주체간 및 산업간의 상품생산과 흐름에 수반되는 에너지소비와 환경오염물질의 흐름을 분석하였다. 분석결과에 따르면 산출액기준 및 열량기준의 환경원단위가 상대적으로 높은 산업들의 유발 $CO_2$ 발생량은 크다. 이 산업들은 직접적으로 발생시키는 $CO_2$가 많은 산업들이며, 환경부하가 큰 재화나 서비스를 생산한다. 그러므로 이 산업들을 대상으로 환경원단위 저감을 유도한다면 $CO_2$ 발생량을 감소시킬 수 있다. 그러나 환경원단위가 낮은 산업의 생산 시에 환경원단위가 높은 산업들의 생산품이 투입재로 사용된다면 그 산업의 유발 $CO_2$ 발생량은 커지고 경제 전체의 환경부하를 크게 만든다. 따라서 산출액기준의 환경원단위가 높은 산업들만을 중심으로 하여 환경원단위를 저하시키는 것 외에, 낮은 환경원단위를 갖는 산업들의 환경원단위도 지속적으로 감소시켜 다른 산업에 대한 연관을 통한 유발 $CO_2$ 발생량을 감소시켜야 한다. 이는 모든 산업에 대한 지속적인 환경원단위 저감이 경제 전체를 기준으로 더 큰 $CO_2$ 발생량 저감을 유도하는 것을 의미한다.

• 한국기후변화학회지
• /
• 제7권1호
• /
• pp.19-29
• /
• 2016

In this study, the emission intensity calculation method of GHGs was developed by considering the characteristics of the models and time series. The telematics device was installed on the car (OBD-II) to collect information on the operation conditions from each sample vehicle of public authorities. Based on emission intensity of GHGs, it presented a methodology of quantitative comparison of GHGs emission by vehicles. Collected driving information of vehicle was used for operating characteristics analysis of the target vehicle, and it was confirmed different operating characteristics through comparison of the results and previous study. GHGs emission intensity were analyzed considering characteristics of vehicle type by passenger car, van, cargo, and considering characteristics of the time series by summer, winter, and intermediate. From the analysis result, it was calculated GHGs emission intensity based on mileage ($g\;CO_2\;eq./km$) and operating time ($g\;CO_2\;eq./sec$).

• 한국공작기계학회:학술대회논문집
• /
• 한국공작기계학회 2002년도 추계학술대회 논문집
• /
• pp.170-173
• /
• 2002

The object of this study is to investigate the effect of compounded welding through the AE (Acoustic Emission) characteristics on static tensile test. This study was carried out a SM 490A, high tension steel using the low hydrogen type E4316 of electronic shield metal arc welding and compound wire of $CO_2$gas arc welding. $CO_2$welding, weak in the intensity of HAZ (Heat Affected Zone), can be improved by being combined with coated arc welding, Coated arc welding, weak in the intensity of the bead, can be improved by being combined with $CO_2$welding. Especially, electronic coated arc welding and $CO_2$welding complement the mechanical intensity of HAZ and the bead with each other. So, compounded welding increases the intensity in the special parts and enhances the quality of goods.

• 한국생활환경학회지
• /
• 제18권3호
• /
• pp.330-337
• /
• 2011

This research quantified(/m²) the supplied materials at the construction stage of apartments, the main architecture form domestically, and presented the average CO₂ emission by analyzing 50 apartment complexes. The results are as follows. CO₂ emission of each type of constructions by supplied materials is architecture (78.8%), machine (8.8%), electricity (5.3%), civil engineering (3.4%), landscaping (3.4%), and communication (1.0%). The building construction charged about 79%. Average CO₂ emission of total 50 apartment complexes according to supplied material expense appeared to be 950 kg-CO₂/m², and when core-type pillar was included CO₂ emission largely increased.

• 대한건축학회논문집:구조계
• /
• 제35권7호
• /
• pp.187-195
• /
• 2019

In December 2015, The Paris Agreement was adopted to undertake ambitious efforts to combat climate change. Korean government announced its goal of reducing the country's greenhouse gas emissions by up to 37% below business as usual projections by 2030 in 2015. The purpose of this study was to set up the calculation methodology of GHG emission($CO_{2e}$) in building sector and to estimate the annual GHG emission in building sector based on national energy consumption statistic. The GHG emission from buildings is about 135.8 million ton $CO_{2e}$ as of 2015, taking up about 19.6% of Korea's entire emission and is about 144.7 million ton $CO_{2e}$ in 2017. The GHG emission of building sector is increasing at annual rate of 2.0% from 2001 to 2017. The GHG emission from electricity consumption in buildings is 91.8 million ton $CO_{2e}$ in 2017, is the highest $CO_2$ emission by energy source. The results show that the intensity of GHG emission of residential building sector is $40.6kg-CO_{2e}/m^2{\cdot}yr$ and that of commercial building sector is $68.4kg-CO_{2e}/m^2{\cdot}yr$.

• 한국기후변화학회지
• /
• 제8권4호
• /
• pp.357-367
• /
• 2017

Electricity generation in Korea mainly depends on thermal power and nuclear power. Especially the coal power has led to the increase in $CO_2$ emissions. This paper intends to analyze the current status of $CO_2$ emissions from electricity generation in Korea during the period 1990~2016, and apply the logarithmic mean Divisia index (LMDI) technique to find the nature of the factors influencing the changes in $CO_2$ emissions. The main results as follows: first, $CO_2$ emission from electricity generation has increased by $165.9MtCO_2$ during the period of analysis. Coal products is the main fuel type for thermal power generation, which accounts about 73% $CO_2$ emissions from electricity generation. Secondly, the increase of real GDP is the most important contributor to increase $CO_2$ emissions from electricity generation. The carbon intensity and the electricity intensity also affected the increase in $CO_2$ emission, but the energy intensity effect and the dependency of thermal power effect play the dominant role in decreasing $CO_2$ emissions.