• 한국기후변화학회지
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• 제1권1호
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• pp.13-20
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• 2010

현재 건설기계는 산업발전과 건설공사의 증가에 따라 사용이 늘고 있다. 그러나 국내 건설기계 온실가스 배출량은 활동도 자료가 미비하고 국내 배출계수가 없어 불확실성이 큰 실정이다. 본 연구에서 최근 배출량 산정 방법(Tier 2, Tier 3), 배출계수, 연료 소비량, 평균 정격 출력, 가동 시간을 이용하여 배출량을 산정하였다. 그 결과 2008년도 건설기계의 온실가스 배출량은 Tier 2, Tier 3 산출 방법에 의하여 각각 21,784천 $ton-CO_2eq/yr$, 22,811천 $ton-CO_2eq/yr$으로 산출되어 Tier 3에 의한 배출량이 Tier 2에 의한 배출량보다 약 4.7% 크게 산정되었다.

• 한국기후변화학회지
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• 제7권4호
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• pp.513-520
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• 2016

Korea's energy consumption has been constantly increasing. Final energy consumption was increased by an annual average of 2.9% compared to 2010. The consumption of all energy sources except for its oil was increased during the same time. While electric demand has increased coal consumption increased rapidly. Therefore, calorfic value and carbon emission factor development can improve the quality of Korea's greenhouse gas inventory. Calorific value is the amount of heat generated while burning coal. Caloric value is one of the most important factors in the development of carbon emission factors. Calorific value is used as the basis for the analysis of the various energy statistics. This study has calculated the other bituminous coal and coking coal's calorfic value by the data received from domestic coal-fired power plants and steel manufacturer. Calorofic value's trend analysis period is the year of 2010~2014. Through analyzing the carbon content it was calculated the carbon emission factor. The bituminous coal and coking coal's uncertainty analysis was performed using a Monte Carlo simulation.

• 한국기후변화학회지
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• 제8권2호
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• pp.145-151
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• 2017

Korea's energy consumption has been constantly increasing. Final energy consumption was increased by anannual average of 2.9% compared to 2010. The consumption of all energy sources except for its oil was increased during the same time. While electric demand has increased coal consumption increased rapidly. Therefore, calorfic value and carbon emission factor development can improve the quality of Korea's greenhouse gas inventory. Calorific value is the amount of heat generated while burning coal. Caloric value is one of the most important factors in the development of carbon emission factors. Calorific value is used as the basis for the analysis of the various energy statistics. This study has calculated the sub-bituminous coal's calorfic value by the data received from domestic coal-fired power plants. Calorofic value's trend analysis period is the year of 2011~2015. Through analyzing the carbon content it was calculated the carbon emission factor. The sub-bituminous coal's uncertainty analysis was performed using a Monte Carlo simulation.

• 한국자동차공학회논문집
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• 제19권1호
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• pp.73-81
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• 2011

The performance of emission factor has been validated by comparison with on-road test data. Emission factor, which is a function of vehicle speed, has been acquired based on chassis dynamometer test with NIER driving pattern. Portable Emission Measurement System, PEMS has measured on-road emission. Test vehicle was operated on defined test routes under different driving conditions, and made ten trips along its route. Emission factors properly simulate on-road test result, although there is some drawback to consider variety of driving condition on real world. Vehicle specific power and acceleration have been used to explain the distributed on-road result within same vehicle speed range. The trend in carbon dioxide and nitrogen oxide emission with respect to specific power and acceleration is clear. It has been found that specific power is a good explanatory variable for microscopic analysis for modal test result. Acceleration is good for microscopic as well as macroscopic analysis.

• 한국대기환경학회지
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• 제32권6호
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• pp.613-623
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• 2016

In this study, pilot experiments were conducted by setting operation conditions to analyze characteristics of emission for air pollutant from small two-stroke engines. Emission factors of the measured concentration of pollutant were compared with EEA. Emission factor of CO analyzed by experiments - concentration, flow rate, fuel consumption, etc.- was estimated at 816,011 g-CO/ton-fuel in average. It was confirmed that more than 80% of the fuel consumption is discharged to the Carbon Monoxide, and that as the engine load becomes higher, emission factor of CO increases in the form of log function. The average emission factor of $NO_x$ and $PM_{10}$ was $3,801g-NO_x/ton-fuel$ and $3,730g-PM_{10}/ton-fue$l each. The deviation was not large by comparing the fuel-based emission factor of EEA and the result of this study. Since considerable pollutants are expected to be discharged from the small two-stroke engines, continuous research and support of the policy is required.

• 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.

• 동력기계공학회지
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• 제19권3호
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• pp.16-21
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• 2015

Nitrous oxide($N_2O$) concentration in the atmosphere has been constantly increased by the human activities with industrial growth after the industrial revolution. One of factors to increase $N_2O$ concentration in the atmosphere is the $N_2O$ emission caused by the combustion of marine fuel. Especially, a sulfur component included in marine fuel oils is known as increasing the $N_2O$ formation in diesel combustion. Form this point of view, $N_2O$ emission from a ship is not negligible. On the other hand, Exhaust gas recirculation(EGR) that have thermal, chemical and dilution effect is effective method for reducing the NOx emission. In this study, an author investigated $N_2O$ reduction by using EGR on a direct injection diesel engine. The test engine was a 4-stroke diesel engine with maximum output of 12 kW at 2600rpm, and operating condition of the engine was a fixed load of 75%. The experimental oil was a blend-fuel that were adjusted with sulfur ratio of 3.5%, and EGR ratio of 0%, 10%, 20% and 30%. In conclusion, diesel fuel that contained 3.5% sulfur component increased $SO_2$ emission in exhaust gas, and increment of EGR ratio reduced NO emission. Moreover, $N_2O$ emission was decreased as over 50% at EGR ratio of 10% and reduced 100% at EGR ratio of 30% compared with $N_2O$ emission of 0% EGR ratio.

• 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.

• 한국환경보건학회지
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• 제30권3호
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• pp.293-299
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• 2004

Traffic represents one of the largest sources of primary air pollutants in urban area. As a consequence, numerous abatement strategies are being pursued to decrease the ambient concentration of pollutants. A characteristics of most of the these strategies is a requirement for accurate data on both the quantity and spatial distribution of emissions to air in the form of an atmospheric emission inventory database. In the case of traffic pollution, such an inventory must be compiled using activity statistics and emission factors for vehicle types. The majority of inventories are compiled using passive data from either surveys or transportation models and by their very nature tend to be out-of-date by the time they are compiled. The study of current trends is towards integrating urban traffic control systems and assessments of the environmental effects of motor vehicles. In this study, a model of vehicle emission calculation by using real-time traffic data was studied. Traffic data, which are required on a street-by-street basis, is obtained from induction loops of traffic control system. It is possible that characteristics of hourly air pollutants emission rates is obtained from hourly traffic volume and speed. An emission rates model is allocated with a high resolution space by using geographic information system (GIS). Vehicle emission model was developed with a high resolution spatial, gridded and hourly emission rates.

• 한국재난정보학회 논문집
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• 제16권3호
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• pp.550-557
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• 2020

연구목적:온실가스는 전 세계적인 재난인 지구 온난화의 주요 원인 중 하나이다.본 연구에서는 도로부문 온실가스 배출량 산정을 기존의 구간평균속도에서 개별차량의 속도기반으로 정밀하게 산정할 때 영향을 주는 우선순위를 판별할 수 있는 요인을 찾아내는 목적을 가진다. 연구방법:고속도로의 일반 통행구간, 휴게소 구간, 진입구간, 합류부 구간의 기존 방법과 개별차량의 속도기반 배출량 산정 방법의 비교 분석을 진행한다. 연구결과:경부 고속도로의 총 6 구간에 대해 분석을 진행한 결과 속도의 표준편차와 구간의 혼잡이 큰 영향을 주는 결과가 나왔다. 결론: 기존의 온실가스 배출량 산정 방법과 개별차량의 속도기반 배출량 산정 방법을 비교하면 개별차량의 속도기반 방법이 더 정밀한 것은 확실하다. 하지만 이를 전국에 일괄 적용하기는 어렵기 때문에 본 연구에서는 기존 방법과 개별차량의 속도기반 방법을 비교하여 크게 차이가 나게 영향을 주는 요인을 제시한다.