• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.46-46
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• 2021

국제사회는 1992년 기후변화협약 체결 이후 지구온도 상승을 2℃이하로 억제하는 등 기후변화 문제를 해결하기 위해 노력하고 있다. 그러나 1997년 선진국(38개국) 중심으로 2020년까지 탄소감축(교토의정서)을 선언하였음에도 불구하고, 미국, 중국 등의 감축의무 미참여로 인해 기후변화대응에 대한 한계를 노출한 바 있다. 그 이후 COP21(2015년)에서 모든 국가에 감축의무를 부여하는 신(新)기후체제를 출범함으로써 선진국뿐만 아니라 개발도상국도 2020년부터 탄소감축의무를 부담하게 되었다. 영국은 기후변화위원회의 권고에 따라 탄소중립경제(Net-Zero Economy) 실현을 위해 국가적 탄소배출 목표를 발표(2019년)하고 온실가스 배출 'Zero'를 기후변화법에 명시하여 모든 산업 인프라 및 환경에 적용시키려 한다. 전 세계에서 최초로 영국의 물산업 분야는 'Net Zero 2030 Routemap'을 발표하여 물산업분야의 탄소중립 실현을 위해 다양한 정책적 로드맵과 실행방안(시나리오)을 수립하였다. 이러한 실행방안은 국가정책에 부합하고 자국내 물기업의 탄소저감 실행계획의 수립을 지원하는데 그 목적이 있다. 구체적인 실행방안은 탄소중립 달성을 위해 비용, 효과, 기술수준 및 기간 등을 고려하여, ①수요주도형, ②기술주도형, ③자연친화주도형, 그리고 ④복합형으로 제시하고 있다. 실행시나리오에 따르면, 수요주도형은 상하수도 분야 수요관리 및 기술, 설비의 효율화를 통한 배출 저감 방안으로 2018~19년 기준, 총배출량 2.41MtCO2e에서 2030년까지 0.54MtCO2e으로 약 77%의 감소효과를 기대하고 있다. 기술주도형의 경우, 심각한 탄소배출 분야의 기술개발 및 혁신을 통해 배출량을 최소화하는 시나리오이며, 총배출량(2.41MtCO2e)을 0.10MtCO2e(약 96%)까지 감소시키기 위한 방안이다. 자연친화주도형은 물기업의 자산 및 그 외 지역에 자연친화적 환경조성을 통한 탄소상쇄방안을 중심으로 총배출량을 0.88MtCO2e(약 63%)까지 저감하는 효과를 나타낸다. 마지막으로 복합협은 시나리오별 실효성과 적용시기를 고려할 때 가장 효과적인 방안으로 약 74%의 저감효과를 나타내지만, 시기적절성, 효과성에서, 가장 최적의 방안으로 제시되고 있다. 본 연구는 이러한 영국 물산업 분야의 탄소중립 정책과 실행방안 분석하고 그 시사점을 제시함으로써 국내 물산업 분야의 탄소중립을 위한 구체적 실행계획 수립에 이바지하고자 한다. 물산업 분야의 탄소중립은 기존 물산업 가치사슬 변화 등 물산업 생태계 전반의 변화를 초래할 것이며, 이러한 변화는 국내 물산업의 자본·운영시장의 비용증가에 대한 도전과 신재생에너지 기술 등 탄소 중립 기술 습득 및 새로운 일자리 창출 등 신(新)시장체계에 대한 기회가 동시에 상존한다.

• Journal of Korea Ship Safrty Technology Authority
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• s.27
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• pp.15-24
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• 2009

최근 IMO에서는 온실가스 배출을 규제화 하고자 하는 동향이 있으며 조만간 선박에서 온실가스 배출의 규제가 실현될 것으로 예상된다. 선박에서 배출되는 온실가스는 CO$_2$가 대부분을 차지하고 있으며 세계경제상황에 따른 영향이 고려되지만 지속적으로 증가추세에 있는 CO$_2$를 감소시키기 위한 아국의 대처방안이 필요한 시점이다. 또한 향후 발효될 EEDI를 소개하고 결과적으로 GHG를 저감시키기 위한 방안인 선형개선, 폐열회수시스템, 친환경연료사용기관, SEMP 등에 관한 내용을 다루어 보았다. 이 보고서에서는 GHG를 비롯한 NOx, SOx 및 PM과 같은 유해배출물질을 Top Down방식으로 평가함으로써 선박에서 기인하는 대기오염물질 관련 국내정책 및 해운산업의 장기적인 발전전략에 유용하게 사용될 것으로 기대한다.

• Proceedings of the Korea Air Pollution Research Association Conference
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• 1999.10a
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• pp.277-279
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• 1999

대기 중으로 배출되는 $CO_2$, CH$_4$, $N_2$O, $O_3$, CFC 등은 지구온난화에 기여하고, 이러한 온실기체들은 여러 경로를 통해서 대기로 배출되고 있다. 배출원별 온실기체의 기여도를 보면(Green peace, 1997) 화석연료 연소의 경우가 58%로 가장 높고, 농업과 토지이용의 변화에 의해 18%, 17%, 그리고 도시쓰레기의 매립에 의해서도 약 3%정도 기여하는 것으로 보고되었다. 주요 온실기체에 대한 대기 중 농도가 과거보다 현저하게 증가되었음이 확인되고 있고, $CO_2$의 경우 년간 증가율이 0.5%, CH$_4$의 경우는 1%, 그리고 $N_2$O의 경우는 약 0.2% 정도로 보고되고 있다.(Bouwman, 1990).(중략)

• Journal of the Korea Organic Resources Recycling Association
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• v.19 no.1
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• pp.86-92
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• 2011

In order to reduce dependence on the fossil fuels and $CO_2$ gas emission in farming activities, the government has pushed ahead with making the self-sufficiency of farming energy up 40% level in green villages. The objectives of this study are to survey the energy consumption of horticultural facilities or agricultural machineries, and to analyze the reduced $CO_2$ gas emission level from fossil fuel to bio-diesel fuel. For the implement of this study, it is necessary to analyze the energy consumption level in the various sector of farming activities, and available renewable energy sources should be selected. Annual total $CO_2$ gas emission in the tillage farming sector was analyzed as $5,667,258\;t-CO_2$ and that in the horticultural facilities occupied $4,932,607\;t-CO_2$, while the $CO_2$ gas emission level of diesel fuel was $3,105,707\;t-CO_2$, and that of the heavy oil showed $1,370,578\;t-CO_2$. The average $CO_2$ gas emission level of horticultural facilities in the country was analyzed as $29,418\;t-CO_2/ha$. Among the total energy consumption of agricultural machineries, tractor used 284,763kL, power tiller spent 221,314 kL, grain drier consumed 145,524kL and combine tractor expend 72,537kL. From the comparison of $CO_2$ gas emission level between fossil fuel and bio-diesel fuel for the horticultural facilities or agricultural machinery in G-City, Jeonbuk Province, the $CO_2$ gas emission level can be reduced by 7% through replacing the fuel from fossil to biodiesel.

• Environmental and Resource Economics Review
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• v.20 no.2
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• pp.229-254
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• 2011

In this paper, we decomposed Greenhouse-Gas emissions of Korea's manufacturing industry using LMDI (Log Mean Divisia Index) method. Changes in $CO_2$ emissions from 1991 to 2007 studied in 5 different factors, industrial production (production effect), industry production mix (structure effect), sectoral energy intensity (intensity effect), sectoral energy mix (energy-mix effect), and $CO_2$ emission factors (emission-factor effect). By results, the structure effect and intensity effect has a role of reducing GHG emissions and The role of structure effect was bigger than intensity effect. The energy mix effect increased GHG emissions and emission-factor effect decreased GHG emissions. By time series analysis, IMF regime affected the GHG emission pattern. the structure effect and intensity effect in that regime was getting worse. After 2000, in the high oil price period, the structure effect and intensity effect is getting better.

• Transactions of the Korean Society of Mechanical Engineers B
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• v.36 no.7
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• pp.737-744
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• 2012

A mobile emission laboratory (MEL) was designed to measure the amount of traffic pollutants, with high temporal and spatial resolution under real conditions. Equipment for the gas-phase measurements of CO, NOx, $CO_2$, and THC and for the measurement of the number, concentration, and size distribution of fine and ultra-fine particles by an FMPS and CPC was placed in a minivan. The exhausts of different types of vehicles can be sampled by an MEL. This paper describes the technical details of the MEL and presents data from the experiment in which a car chases passenger vehicles fuelled by diesel and gasoline. The particle number concentration in the exhaust of the diesel vehicle was higher than that of the gasoline vehicle. However, the diesel vehicle with a DPF emitted fewer particles than the vehicle equipped with a gasoline direct injection engine, with particle diameters over 50 nm.

• Journal of Korean Society of Environmental Engineers
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• v.34 no.4
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• pp.270-279
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• 2012

In this study, greenhouse gas emissions occurring from the construction of Jangbogo Antarctic research station were estimated in terms of material production stages and building stages, respectively. In detail, greenhouse gas emissions during the building stages were estimated in terms of marine transportation, inland transportation, construction equipment utilization, and construction camp operation, respectively. As a result, greenhouse gas emissions from material production stages with life cycle assessment were 8,933 ton (as $CO_{2eq}$), equivalent to the 23.8% of total greenhouse gas emissions from the construction of Jangbogo Antarctic research station, and these results indicate that greenhouse gas emissions occurring from material production stages should not be ignored. During the building stages, greenhouse gas emissions occurring from first year were greater than those from second year due to the increase in fuel consumption of freighter during second year. Additionally, marine transportation compared to inland transportation, construction equipment utilization, and construction camp operation was found to be the greater contributor for greenhouse gas emissions during the building stages. The total greenhouse gas emissions estimated from both material production stages and building stages was 34,486 ton (as $CO_{2eq}$), and greater than those estimated from comprehensive environmental evaluation (CEE) of existing other research stations. This difference is mainly attributed from approximate estimation of greenhouse gas emissions of existing other research stations without considering material production stages.

• Journal of Environmental Impact Assessment
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• v.24 no.5
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• pp.456-471
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• 2015

Emission source term is one of the strong controlling factors for the air quality simulation capability, particularly over the urban area. Ulsan is an industrial area and frequently required to simulate for environmental assessment. In this study, two CAPSS (Clean Air Policy Support System) emission data; CAPSS-2003 and CAPSS-2010 in Ulsan, were employed as an input data for WRF-CMAQ air quality model for emission assessment. The simulated results were compared with observations for the local emission dominant synoptic conditions which had negative vorticities and lower geostrophic wind speed at 850hPa weather maps. The measurements of CO, $NO_2$, $SO_2$ and $PM_{10}$ concentrations were compared with simulations and the 'scaling factors' of emissions for CO, $NO_2$, $SO_2$, and $PM_{10}$ were suggested in in aggregative and quantitative manner. The results showed that CAPSS-2003 showed no critical discrepancies of CO and $NO_2$ observations with simulations, while $SO_2$ was overestimated by a factor of more than 12, while $PM_{10}$ was underestimated by a factor of more than 20 times. However, CAPSS-2010 case showed that $SO_2$ and $PM_{10}$ emission were much more improved than CAPSS-2003. However, $SO_2$ was still overestimated by a factor of more than 2, and $PM_{10}$ underestimated by a factor of 5, while there was no significant improvement for CO and $NO_2$ emission. The estimated factors identified in this study can be used as'scaling factors'for optimizing the emissions of air pollutants, particularly $SO_2$ and $PM_{10}$ for the realistic air quality simulation in Ulsan.

• Korean Journal of Soil Science and Fertilizer
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• v.44 no.6
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• pp.1214-1219
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• 2011

This study was conducted to compare of greenhouse gas emissions between 1996 and 2006 IPCC (Intergovernmental Panel on Climate Change) guidelines change. Greenhouse gas emissions were calculated separately by rice cultivation, agricultural soils and field burning of agricultural residues from 2000 to 2008 according to 1996 and 2006 IPCC guidelines. To calculate greenhouse gas emissions, emission factor and activity data were used IPCC default value and the food, agricultural, forestry and fisheries statistical yearbook of MIFAFF (Ministry for Food, Agriculture, Forestry, and Fisheries). The greenhouse emissions by 1996 IPCC guidelines were highest in rice cultivation as 4,008 $CO_2$-eq Gg of 2000 and 3,558 $CO_2$-eq Gg of 2008. The emissions by N-fixing crops, crop residues returned soils and field burning did not much affect the total emissions. $CO_2$ emissions by urea and lime were calculated by adding in 2006 IPCC guidelines and its emissions were 157 and 82 $CO_2$-eq Gg in 2008 respectively. The emissions by N-fixing crops, crop residues returned to soils and field burning, in common with 1996 IPCC guidelines, did not have a significant impact on total emissions. The total emissions in agronomic sector was decreased continuously from 2000 to 2008 and annual emissions by 2006 IPCC guidelines were approximately 26-29% less than the 1996 IPCC guidelines.

• Environmental and Resource Economics Review
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• v.30 no.4
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• pp.607-625
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• 2021

The objective of this study is to estimate the relationship between CO₂ emissions and both nuclear power and renewable energy generation, and compare the cost efficiencies of nuclear power and renewable energy generation in reducing CO₂ emissions in Korea. The results show that nuclear power and renewable energy generation should be increased by 1.344% and 7.874% to reduce CO₂ emissions by 1%, respectively. Using the estimated coefficients and the levelized costs of electricity by source including the external costs, if the current amount of electricity generation is one megawatt-hour, the range of generation cost of nuclear power generation to reduce 1% CO₂ emissions is $0.72~$1.49 depending on the level of external costs. In the case of renewable energy generation, the generation cost to reduce 1% CO₂ emissions is $6.49. That is, to mitigate 1% of CO₂ emissions at the total electricity generation of 353 million MWh in 2020 in Korea, the total generation costs range for nuclear power is $254 million~$526 million for the nuclear power, and the cost for renewable energy is $2.289 billion for renewable energy. Hence, we can conclude that, in Korea, nuclear power generation is more cost-efficient than renewable energy generation in mitigating CO₂ emissions, even with the external costs of nuclear power generation.