• 국제학술발표논문집
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• The 5th International Conference on Construction Engineering and Project Management
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• pp.204-208
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• 2013

CO2 emission makes up more than 80% of whole green gas. Therefore CO2 is recognized as the main culprit of global warming. IPCC (Intergovernmental Panel on Climate Change) is advising the 3 methods measuring CO2 emission. TIER1 is measured CO2 emission by criteria the energy consumption, TIER2 measure by criteria the emission factor according to the emission control technique each kind of vehicle, TIER3 is measured by criteria the distance each kind of vehicle. Currently, the most of CO2 emission measurement is used by TIER1. But it is not standardized that CO2 emission measurement method have the factor as work condition each distance. Specially, it is not suggest that methodology has the condition changing load of equipment according to site condition and the same position work as construction equipment. So, this study is suggested the CO2 emission measurement methodology of construction equipment.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2012년도 춘계 학술논문 발표대회
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• pp.43-45
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• 2012

As a part of recent CO₂ emission reduction studies in the concrete industry with active use of concrete admixtures with low basic unit of CO₂ emission such as blast furnace slag (BFS), basic unit of CO₂ emission by SBFS was computed in order to assess CO₂ emission by reinforced concrete building with smart blast furnace slag (SBFS). In addition, SBFS concrete was applied to the subject building for assessment of CO₂ emission during material production step among construction steps. Life cycle CO₂ emission assessment on the subject building was classified into 7cases according to mix ratio of BFS and SBFS.

• 환경영향평가
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• 제19권6호
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• pp.647-656
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• 2010

As the $CO_2$ from buildings take up approximately 25% of the total $CO_2$ emission, the need for regulating and managing this emission is urgently required. Thus this study recognizes $CO_2$ emission status for diverse purposes and suggests accurate interpolation method for visualizing $CO_2$ emission as the basic data for regulating and managing $CO_2$ emission by applying IDW, Spline, and Kringing method. Results showed that Gaussian Function application among the Kriging methods had the highest accuracy in its estimations, with 3.049 with RMSE standards. This could be used as the basic data when visualizing $CO_2$ emission status, which is a necessity for many local and federal governments that are to regulate and manage $CO_2$ emission. This study shows that the interpolation is very appropriative method in recognizing $CO_2$ emission characteristics for regional climate change measures.

• 한국축산시설환경학회지
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• 제4권2호
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• pp.183-191
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• 1998

This study was carried out to elucidate the correlation between Germination Index(G.I.) and CO2 emission for evaluation of the maturity of compost products. 13 compost samples was used for this experiment. The G.I. test was carried out on the basis of T-N 200ppm. As a result of this research, we found that CO2 emission method was good simple indicator for evaluation of maturity of compost materials, in spite of G.I. The obtain results are summarized as follows ; 1. The correlation value between the G.I. and the CO2 emission was R2 = 0.776. 2. The correlation value between EC(Electric Conductivity) and G.I. was R2 =0.7. 3. The equation calculated from G.I. and CO2 emission was G.I. = -16.7(InCO2) - 6.87. 4. From these results, we found the possibility of estimation for the value of G.I.(T-N 200ppm) from CO2 emission volume under specific condition.

• 한국건설관리학회논문집
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• 제14권2호
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• pp.78-86
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• 2013

지구온난화의 원인인 $CO_2$를 줄이기 위한 연구들이 전(全) 산업분야에서 활발하게 진행되고 있는 가운데, 건설분야에서도 $CO_2$의 발생을 최소화하려는 연구들이 다양하게 추진되고 있다. $CO_2$ 발생량 최소화를 위한 연구는 $CO_2$ 배출량을 기반으로 하고 있는데 $CO_2$배출량을 산정하는 방법은 크게 연료사용량 대비 탄소배출계수를 이용한 방법, LCA기반 방법론 그리고 산업연관표를 이용한 방법으로 나뉜다. 특히 연료사용량을 기반으로 탄소배출계수를 이용하는 방법은 IPCC 에서 3가지 방법(Tier1~Tier3)을 권장하고 있다. 이 중 현재 가장 많이 활용되고 있는 방법이 Tier1으로서 연료사용량과 탄소배출계수만을 이용하는 방법이다. 그러나 이 방법은 차종별 이동거리가 반영되지 않을 뿐 아니라 주행환경 등의 반영이 안되기 때문에 정확한 $CO_2$배출량을 산정할 수 없다. 특히 건설프로젝트 는 프로젝트의 특성에 따라 이산화탄소 배출량은 달라질 수 있다. 하지만 현재의 방법으로는 이러한 차이를 제대로 반영할 수 없다. 따라서 개별 프로젝트의 특성을 반영하여 이산화탄소 배출량을 산정하는 방법론이 필요하며 이러한 방법론의 가장 핵심은 에너지를 사용하는 건설장비의 이산화탄소 배출량을 직접 측정하는 것이다. 본 연구에서는 건설과정에서 발생하는 이산화탄소의 배출량 산정방법론을 개발하기 위한 연구로서 건설장비의 이산화탄소 배출량을 실시간으로 측정할 수 있는 방법의 제안을 목적으로 한다.

• 대한건축학회논문집:구조계
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• 제35권7호
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• pp.187-195
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• 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 $68.4kg-CO_{2e}/m^2{\cdot}yr$.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2006년도 추계학술대회 논문집
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• pp.1123-1125
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• 2006

As Kyoto protocol has been effective in 2005, the reduction of $CO_2$ emission is a global urgent problem. In Korea, the $CO_2$ emission of transportation increases continuously, which can be solved partially by the use of railroad. Therefore, it is necessary to calculate exactly the $CO_2$ emission of railroad through life cycle approach. In this study, the $CO_2$ emission of electric motor unit (EMU) was evaluated with its carboy material using life cycle inventory analysis (LCIA). Among the life cycles of EMU, $CO_2$ emission was the highest in the running phase. As the total weight of EMU was lowered, $CO_2$ emission was reduced. In conclusion, the light-weighting of EMU can reduce $CO_2$ emission efficiently.

• 대한토목학회논문집
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• 제34권3호
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• pp.999-1006
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• 2014

국토해양부에서 2011년 시설물별 탄소배출량 산정가이드라인을 통해 제시한 토공장비의 $CO_2$ 배출계수는 IPCC 탄소배출계수를 활용하여 연료사용량을 기반으로 만들어졌다. 하지만 이 방식은 현장의 다양한 조건을 반영하지 못한다는 단점이 있다. 따라서 이러한 단점을 보완한 새로운 배출계수가 필요하다. 본 연구에서는 토공장비를 대상으로 농도-유속측정(C-FVM)을 이용한 직접측정방식으로 $CO_2$ 배출량을 산정하고, 국토해양부에서 제시한 배출계수와 비교분석 후 토공장비의 새로운 $CO_2$ 배출계수를 제시하고자 한다.

• KIEAE Journal
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• 제13권5호
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• pp.79-88
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• 2013

This study creates the evaluation criteria to analyze the $CO_2$ emission quantity in the complex of apartment house among domestic buildings and proposes how to calculate the $CO_2$ emission quantity by the only simple information of apartment house. The study shows that in order to create the index of carbon emission evaluation criteria, $CO_2$ emission quantity for its input materials in these 27 apartment houses are 445,412g-$CO_2/m^2$ for apartment building, 474,322g-$CO_2/m^2$ for the basement parking lot, 483,523g-$CO_2/m^2$ for welfare facility, 729,957g-$CO_2/m^2$ for sales facility, 743,560g-$CO_2/m^2$ for other facility, 26,782g-$CO_2/m^2$ for public facility, 43,659g-$CO_2/m^2$ for landscape, 1,113g-$CO_2/m^2$ for indoor facility, 11,251g-$CO_2/m^2$ for outdoor facility and 891g-$CO_2/m^2$ for common temporary based on the average $CO_2$ emission by facility. We can also see the analysis data that in case of using the selected factors only, the rate of error is 7.51% comparing with the emission quantity by using simplified LCA method this study suggests for the whole range of apartment houses and the rate of error is average 3.24% using selective and main materials. And this it is evaluated that we can get the result which is similar to the actual $CO_2$ emission quantity with only the simple information about the apartment house.

• 대한토목학회논문집
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• 제32권2D호
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• pp.167-174
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• 2012

최근 온실가스저감인증(CERs)과 관련한 $CO_2$ 배출량 감축을 위한 노력은 전생애주기를 통하여 활발하게 연구가 진행되고 있다. 그러나 $CO_2$ 배출량을 줄이기 위한 기술은 아직 초기단계에 있으며, 정확하게 계산하기 위한 기술도 불충분하다. 따라서, 본 연구는 ZigBee 센서를 활용하여 건설장비의 $CO_2$ 배출량을 실시간으로 측정하기 위한 방법을 개발하고자 하였다. 이산화탄소 배출량 산출방법을 검토하기 위하여 IPCC 제시 방법론을 기준으로 $CO_2$ 배출량에 영향을 미치는 영향인자들을 분류하였다. 또한, 무선데이터통신을 활용한 ZigBee 센서의 활용성을 검토하였다. 검토결과, 건설장비의 $CO_2$ 배출량과 RPM 그리고 연료사용량을 주 측정대상으로 하여 측정하고, $CO_2$ 배출량에 영향을 미치는 요소인 장비의 연식, 대기시간, 차량종류, 연료종류도 추가하여 조사할 필요가 있다는 결론을 얻었다.