• Resources Recycling
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• v.31 no.1
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• pp.56-64
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• 2022

Construction waste is generated at a rate of approximately 221,102 tons/day in Korea. In particular, mixed construction waste generates approximately 24,582 tons/day. The other components were recycled by 98.9%. The amount of greenhouse gas emissions from the waste was 17.1 million tons of CO2 equaling 2.3% of the total greenhouse gas emissions. To reduce greenhouse gas emissions, reducing the environmental impact is becoming increasingly important. However, appropriate treatment must first be established, as mixed construction waste is also increasing. Thus, an effective plan is urgently needed because it is frequently segregated and sorted by the landfill and incinerated. In addition, there is an urgent need to prepare various effective recycling methods rather than a simple treatment. Therefore, this study analyzed the environmental impact of the treatment of mixed construction waste by calculating greenhouse gas emissions. As a result, the highest greenhouse gas generation occurred during the incineration stage. Moreover, the optimal method to reduce greenhouse gas emissions is recycling and energy recovery from waste. In addition, the amount of greenhouse gas generated during energy recovery from the waste stage was the second highest. However, greenhouse gas emissions can be reduced by using waste as energy to reduce fossil fuel consumption. In addition, for the transportation stage, the optimal reduction plan is to minimize the amount of greenhouse gas emissions by setting the optimal distance and applying biofuel and electric vehicle operations.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.32 no.6B
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• pp.399-406
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• 2012

The objective of this research is to develop greenhouse gas generation models and estimation method of their parameters for solid waste landfills. Two models obtained by differentiating the Modified Gompertz and Logistic models were employed to evaluate two parameters of a first-order decay model, methane generation potential ($L_0$) and methane generation rate constant (k). The parameters were determined by the statistical comparison of predicted gas generation rate data using the two models and actual landfill gas collection data. The values of r-square obtained from regression analysis between two data showed that one model by differentiating the Modified Gompetz was 0.92 and the other model by differentiating the Logistic was 0.94. From this result, the estimation methods showed that $L_0$ and k values can be determined by regression analysis if landfill gas collection data are available. Also, new models based on two models obtained by differentiating the Modified Gompertz and Logistic models were developed to predict greenhouse gas generation from solid waste landfills that actual landfill generation data could not be available. They showed better prediction than LandGEM model. Frequency distribution of the ratio of Qcs (LFG collection system) to Q (prediction value) was used to evaluate the accuracy of the models. The new models showed higher accuracy than LandGEM model. Thus, it is concluded that the models developed in this research are suitable for the prediction of greenhouse gas generation from solid waste landfills.

• 농업기술회보
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• v.47 no.3
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• pp.19-20
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• 2010

오늘날 지구온난화현상이 심각한 환경문제로 대두되어, 1988년 IPCC 발족, 1994년 '기후변화협약' 발효를 통해 온실가스 배출을 저감하고 기후변화에 공동 대응을 모색하기 위한 범지구적 노력을 기울이고 있다. 우리나라도 2020년까지 온실가스 배출량을 감축목표를 BAU(business as usual:온실가스 감축을 위한 행동을 하지 않았을 때의 자연적인 배출변화량) 대비 30%로 결정한 바 있으며, 농업부문도 온실가스 감축기술을 개발하여 농업 현장에 널리 보급할 필요가 있다. 농업부분 온실가스 배출량은 1,840만 $CO_2$톤(2007)으로 산정되어 국가 전체 발생량의 2.9%에 해당한다. 이 중 경종부분이 65%, 축산부분이 35%인데, 경종부분 온실가스의 대부분은 벼농사가 차지하므로 벼농사에 있어서 온실가스 감축이 시급한 것으로 나타났다.

• Proceedings of the KAIS Fall Conference
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• 2010.11a
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• pp.483-487
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• 2010

본 연구는 기후변화협약 대응을 위한 울산광역시 사례로 화학 산업의 온실가스 인벤토리 구축 및 공정진단을 통해 온실가스 배출 저감 결과를 나타내었다. 또한 기업체의 기후변화 대응에 대한 방향을 제시하였다. 울산지역은 산업단지 중심으로 석유화학, 자동차, 조선 등 에너지 다소비업체가 많으며, 이산화탄소 배출 저감을 체계적으로 실시 할 경우 국가적 차원에서 이산화탄소 배출량을 상당히 줄일 수 있을 것으로 판단되어 10개 기업체 대상으로 본 연구를 실시하였다. 온실가스 배출량은 최종에너지를 기준으로 산정한 경우 2004년 58,533천 톤 $CO_2$이며, 동일 년도 전국 온실가스 배출량인 592,600천톤 $CO_2$의 약 10%를 차지한다. 향후 2013년부터 한국이 2차 의무감축대상국이 될 경우 1990년도 온실 가스 배출 대비 5.2%의 감축률을 부여 받는다는 가정으로 경제적 손실액을 추정한 결과, 울산시의 경제적 손실은 1조에 가까운 것으로 나타났다. 따라서 울산지역은 최종 에너지소비가 2004년도에 전국 대비 12.5%로 매년 상승하고, 특히 2004년 1인당 최종에너지 소비의 경우 전국 평균은 3.38TOE이며, 울산시는 19.05TOE로 약 6배로 상당히 높게 나타났다. 또한 에너지 소비는 전국적인 규모로 비교하여 볼 때 점진적으로 증가하는 추세를 보이고 있다. 2003년의 경우 전국에너지 소비의 12.3%를 점유 하였던 것이 2010년에는 239.18백만 TOE로써 전국에너지 사용량의 14%를 점유 할 것이며, 점차 증가할 것으로 예상된다. 따라서 산업부문에서 에너지 사용비율이 80%이상으로 전국대비 에너지사용량이 상대적으로 높은 울산지역에서는 산업부문에서 온실가스발생량이 상당히 높은 것으로 예상 된다. 10개 기업체 중 5개 기업체의 온실가스 배출량 산정 및 인벤토리 구축 결과 온실가스 배출량의 공정에 따른 직접배출이 높은 것을 알 수 있었다. 또한 에너지 및 온실가스 저감을 위해 올 해 약 온실가스저감 227,554만원 경제적 효과가 나타났다. 또한 온실가스 이산화탄소 50,740 Ton/yr 절감효과를 발생하였다.

• Journal of Animal Science and Technology
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• v.53 no.5
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• pp.475-480
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• 2011

This study was conducted to investigate the effects of different feeding level of TDN (Total Digestible Nutrients) on the generation of main greenhouse gases such as carbon dioxide and methane in Hanwoo cows. The diet TDN (kg) adjusted to achieve ADG of 0 g/day (Control), 200 g/day (T1), and 400 g/day (T2) of the maintenance level TMR (Total Mixed Ration) delivered twice a day at 08:30 and 17:30. Cow are housed in a respiration chamber and the environmental temperature was maintained at $20^{\circ}C$. The gases were measured for 24 hours using the multi-detector instrument Mamos-300. The analyzed methane emissions of T1 and T2 were 33.5% and 69.6% higher than control, respectively, and the carbon dioxide emissions were 21.1% and 40.6% higher than control. Also, the hourly pattern of carbon dioxide and methane production were showed very similar emission. Gas production showed peak after 1 hour of feeding and this gap was wider in the afternoon than in the morning hours. It is clearly conducted that $CO_2$ and $CH_4$ emissions were different by limited intake levels of feed.

• Proceedings of the Korea Contents Association Conference
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• 2012.05a
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• pp.107-108
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• 2012

본 논문은 건설산업의 신뢰성 있는 온실가스 추정을 위해 건설단계에서 사용되는 장비, 자재 및 에너지 사용량에 따른 온실가스 배출량 추정방법론을 고찰하였다. 그리고 온실가스 배출량 추정모델인 Road Construction Emission Model과 시설물탄소배출량 산정 프로그램을 비교분석하였다. 건설장비만을 고려한 배출량 추정은 사용장비의 각종 특성에 따라 차이가 발생할 수 있고, 자재 및 에너지사용에 따른 배출량 추정은 장비의 사용이 대부분을 차지하는 토목공사에서 배제한 단점이 있다. 따라서, 건설산업의 온실가스배출량 측정은 장비의 사용 또는 자재 및 에너지사용에 따른 포괄적인 온실가스 배출량 추정과 이를 위한 기반확충이 이루어져야 한다.

• Proceedings of the Korea Air Pollution Research Association Conference
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• 2000.04a
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• pp.203-205
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• 2000

본 연구의 목적은 우리 나라의 환경기초시설 중 하·폐수처리시설에서 발생하는 온실가스 배출량(inventory)을 산출하는 것이다. 이를 위하여 IPCC에서 제안하고 있는 지침을 중심으로 온실가스 배출량 산출방법을 검토하고, 우리 나라의 특성을 반영할 수 있도록 관련변수를 조사하였다. 또한 관련 변수의 적합성을 판단하고 기초 자료를 확보하기 위하여 일부 관련 시설에 대한 배출농도 측정을 실시하였다. (중략)

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.2
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• pp.378-384
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• 2019

In the food wastewater treatment facilities, the water quality improvement effect and the greenhouse gas emission amount followed by the change in electricity usage through a change of the aeration tank ventilation system were evaluated. also, the amount of greenhouse gas emission followed by the change in electricity usage through the change of the sludge dewatering, storage, transporting method was also evaluated. The total GHG emission from food wastewater treatment facility improvement were divided into direct emissions from the treatment processes and indirect ones from electricity usage. The water quality improvement effect of wastewater treatment plant was found to be 63.3% for BOD removal rate, 42.0% for COD removal rate, 71.0% for SS removal rate and 39.6% for T-N removal rate. and according to the results of calculating output by applying both direct emissions of greenhouse gas (Scope 1) and the indirect emission (Scope 2) of greenhouse gas followed by changes in power consumption. It was estimated that there was a total of 276.0tCO2eq./yr(7.5%) greenhouse gas reduction effect from 3,668.8tCO2eq./yr before improvement to 3,392.8tCO2eq./yr after improvement. In this result is not due to the effects of water quality improvement of emission source, but because the reduction in electricity use has reduced the amount of greenhouse gas emissions.

• Journal of the Korea Organic Resources Recycling Association
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• v.30 no.4
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• pp.131-139
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• 2022

The aim of this study was to assess the feasibility of a landfill project to reduce greenhouse gas (GHG) from La Chureca Landfill in Managua, Nicaragua ("Project"). The feasibility study involved surveying the status and composition of waste on its way in to the landfill and projecting GHG emissions from the landfill. A projection of the GHG emissions with the IPCC model based on the survey results indicated the period 2006 to 2043 would see mean yearly GHG emissions of 290,147 ton-CO₂/year with model certainty not considered, and 217,610 ton-CO₂/year with model certainty considered. Thus, the result exceeded the corresponding median and mean values of other CDM projects implemented in Central America, even after model uncertainty was considered together with the conservative estimation of carbon capture efficiency. The similar result was produced even with an analysis of sensitivity to error factors. All the findings of the study are expected to be applicable as basic data for deciding about whether & how to proceed with the Project.

• Spatial Information Research
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• v.22 no.1
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• pp.9-17
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• 2014

This study was intended to reliably predict the traffic green house gas emission in Daegu with the use of spatial statistical technique and calculate the traffic green house gas emission of each administrative district on the basis of the accurately predicted emission. First, with the use of the traffic actually surveyed at a traffic observation point, and traffic green house gas emission was calculated. Secondly, on the basis of the calculation, and with the use of Universal Kriging technique, this researcher set a suitable variogram modeling to accurately and reliably predict the green house gas emission at non-observation point suitable through spatial correlation, and then performed cross validation to prove the validity of the proper variogram modeling and Kriging technique. Thirdly, with the use of the validated kriging technique, traffic green gas emission was visualized, and its distribution features were analyzed to predict and calculate the traffic green house gas emission of each administrative district. As a result, regarding the traffic green house gas emission of each administration, it was found that Bukgu had the highest green house gas emission of $291,878,020kgCO_2eq/yr$.