• Title/Summary/Keyword: CO2 배출

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원자력을 온난화방지대책으로 자리매김을

  • 한국원자력산업회의
    • Nuclear industry
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    • v.17 no.11 s.177
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    • pp.36-38
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    • 1997
  • 국내 원자력산업계는 11월 11일, 외무부 $\cdot$ 통상산업부 $\cdot$ 환경부 $\cdot$ 과학기술처 등 관계 장관에게 제출한 의견서에서 우리 나라 발전은 현재 전력 수요의 $36\%$를 충당함으로써 석유 화력 발전 대비 연간 1천5백만톤 이상의 이산화탄소($CO_2$) 감축 효과를 거두어 경제 발전과 환경 보전에 크게 공헌하고 있다고 지적, '정부 당국은 이 기회에 원자력 발전을 온난화 방지에너지 대책 사업의일환으로 확고히 자리매김해 줄 것'을 건의했다. 사단법인 한국원자력산업회의 산하 86개 회원사 일동의 이름으로 제출한 이 의견서는 또한 '정부 당국은 현행 원자력 개발 이용 계획에 대한 강력한 의지와 장래의 비전을 대내외적으로 다시 한번 재천명하고 이의 효과적인 추진을 위한 정책적인 조치를 강구해 줄 것'도 아울러 촉구했다. 원자력산업계는 의견서 가운데에서 원자력 발전은 현재 세계 전체 발전량의 17%를 공급, $CO_2$ 배출량을 연간 23억톤 이상 삭감하고 있으며, 이러한 수치는 세계 $CO_2$ 배출량의 약 $10\%$에 상당한다고 지적했다. 의견서 전문은 다음과 같다.

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A Study on the Reduction Measures of Energy Demand and Environmental Pollutants on the Transport Sector in Korea (교통부분에 있어서 에너지 소비 및 환경오염물질 저감방안에 관한 연구)

  • Yoon, So Won;Jung, Tae Yong
    • Journal of Environmental Impact Assessment
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    • v.12 no.4
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    • pp.229-243
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    • 2003
  • 본 연구에서는 한국에서 도로 승용차로부터 배출되는 $CO_2$, 대기오염물질 및 에너지 소비에 대한 분석, 전망을 하였다. 도로 승용차 교통부분에서의 에너지 소비 및 $CO_2$와 환경오염물질의 추세는 자동차수와 년간주행거리, 평균 탑승자수, 연료 효율을 바탕으로 구하였다. 장래 에너지 소비와 배출, 시나리오 분석은 스톡홀름 환경연구소(SEI-B(Stockholm Environment Institute-Boston))에서 개발한 LEAP(Long Range Energy Alternative Planning System)을 이용하였다. 시나리오는 2005년부터 BaU(Business-as-Usual), CNG(Compressed Natural Gas) 버스의 도입, 경차 이용의 증가, 30$/TC와 300$/TC 탄소세 도입으로 정하였다. 1998년을 기준년도로 하고 2020년을 목표년도로 하여 시뮬레이션하였다. 분석결과 2020년까지의 전망 및 시나리오 분석을 통하여 도로자가용교통부분에서 에너지를 절감하고 $CO_2$ 및 대기오염물질을 저감하기 위하여 도입한 개별정책들을 통합하고 정책간 상승 효과를 볼 수 있도록 팩키지화시키는 것이 효과적이라고 분석되었다.

A study on development of generation expansion planning considering CO2 emission constraints and Emission Trading (CO2 배출량 제약과 배출권거래제를 고려한 설비계획 방법론에 관한 연구)

  • Kim, Yang-Il;Lee, Seung-Hyun;Han, Seok-Man;Chung, Koo-Hyung;Kim, Bal-Ho H.
    • Proceedings of the KIEE Conference
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    • 2006.11a
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    • pp.46-48
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    • 2006
  • WASP which is used to plan generation expansion has disadvantages that can't manage environmental factors and regional supply-demand planning. But with the effectuation of the United Nations Framework Convention on Climate Change (UNFCCC) and Kyoto Protocol, it is expected that reducing greenhouse gases affects power system in its long-term generation expansion planning. Therefore national countermeasures is needed. This paper formulates a mathematical model considering CO2 emission constraints and Emission Trading that will be enforced. This model is based on the ORIRES which was made by ESI, Russia and manages generation expansion planning. And this mathematical model is verified by studying a case system.

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Estimation of CO2 reduction in poorer plants to meet the KYOTO protocol on climate change (기후변화헙약 시행에 따른 발전 분야의 $CO_2$ 감축량 예측)

  • 장길홍;정석용;김해경;황재동;우광제
    • Proceedings of the Korea Air Pollution Research Association Conference
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    • 2000.04a
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    • pp.206-207
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    • 2000
  • 지구환경문제 중 지구온난화는 에너지 사용과 상관 관계가 있기 때문에 국가간에 이해 관계가 완전히 해결되지 못한 상태이나, 1997년 쿄토 의정서가 체결됨으로써 우리나라에도 구체적 시행시기 및 감축의무에 대한 압력이 가중되고 있다. 지구 온난화에 가장 큰 영향을 미치는 $CO_2$에 대한 규제는 이미 유럽에서 자동차 규제, 탄소세 도입, 화력발전소 건설 규제 등의 형태로 나타나고 있다. 우리나라 전체 이산화탄소 배출량 중 에너지분야에서 배출되는 이산화탄소는 약 25% 정도인 것으로 알려져 있다. (중략)

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The Effect of Olefin Contents on Exhaust Emissions from Gasoline Vehicles (휘발유 차량에서 배출가스에 미치는 올레핀의 영향)

  • Park, Cheonkyu;Jung, Choongsub;Na, Byungki
    • Transactions of the Korean Society of Automotive Engineers
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    • v.22 no.2
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    • pp.37-43
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    • 2014
  • Exhaust emissions were studied as a function of gasoline olefin composition in two vehicles-MPI and GDi engine equipped vehicles. Three different gasolines were tested which varied in olefin contents-12, 16 and 20 vol%. Exhaust emissions in two vehicles were affected by changes in gasoline olefin composition. Responses to changes in olefins were similar in both vehicles : reducing olefins lowered emissions of NOx and CO. Measured exhaust emissions included total hydrocarbons (THC), oxides of nitrogen (NOx), carbon monooxide(CO), carbon dioxide($CO_2$), formaldehyde, benzene, toluene, xylene, 1,3-butadiene and acetylene.

Developing Predictive Modelling of CO2 Emissions of Construction Equipment Using Artificial Neural Network and Non-linear Regression (인공신경망 및 비선형 회귀분석을 이용한 건설장비의 CO2 배출량 예측 모델 개발)

  • Im, Somin;Noh, Jaeyun;Ro, Sangwoo;Lee, Minwoo;Han, Seungwoo
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2019.11a
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    • pp.16-17
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    • 2019
  • In order to measure the amount of carbon dioxide emitted from the construction sites, many literature which have been conducted have proposed methodologies for calculating coefficients based on actual data collections for estimating the emission formula. The existing data collected under controlled conditions not on site measurement were too limited to apply in actual sites. The purpose of this study is to conduct analysis based on the data measured in fields and to present predictive models using artificial neural network and nonlinear regression analysis for appropriate predictions and practical applications.

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A Prediction Model of CO2 Emissions for Construction Equipment Using Curve Fitting (Curve Fitting을 이용한 건설장비 CO2 배출량 예측 모델)

  • Noh, Jaeyun;Kim, Yujin;Lee, Jiyeon;Lee, Minwoo;Han, Seungwoo
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2020.06a
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    • pp.107-108
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    • 2020
  • The severity of the global climate crisis is increasing due to greenhouse gases caused by human activities. As a result, countries and industries are making efforts to reduce carbon dioxide emissions, the biggest cause of global warming. Many studies have been conducted to predict carbon emissions in the construction sector to reduce this, but they have not actually produced a highly usable formula in the field. Therefore, the two variables 'Curve Fitting' were performed based on the data of excavators and trucks measured at the field. As a result, we have obtained a carbon dioxide emission prediction model for construction equipment, and we would like to use it to help establish an eco-friendly process plan.

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Calculation of Basic Unit of Carbon Emissions in Operation and Maintenance Stage of Road Infrastructure (도로시설물 운영 및 유지관리단계의 탄소배출원단위 구축)

  • KWAK, In Ho;KIM, Kun Ho;WIE, Dae Hyung;PARK, Kwang Ho;HWANG, Young Woo
    • Journal of Korean Society of Transportation
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    • v.33 no.3
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    • pp.237-246
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    • 2015
  • Operation and Maintenance in road infrastructure is repetitive carbon emissions activities to preserve the road in its originally constructed condition. In the view of road planning and construction, operation, and maintenance of life cycle, operation and maintenance stage quantification of carbon emissions is very important because it is easily accessible activities to reduce carbon emissions in road infrastructure that existing and new road. However, carbon emissions estimation in operation and maintenance stage is yet to do, because data collection is so hard and carbon emissions estimation methodology is very complicated. In this study, a basic unit of carbon emission in the operation and maintenance stage of the road infrastructure was developed in order to get the quantitative determination of carbon that occurring. Carbon emissions of the Expressway and Common state road was calculated by using the basic unit of carbon emission and application plan of basic unit of carbon emission are presented.

A study on Estimation of CO2 Abatement Cost in Korean Offshore Fishery (우리나라 근해어업의 CO2 배출 저감비용함수 추정)

  • Shin, Yongmin;Jeong, Gyeowoon
    • Environmental and Resource Economics Review
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    • v.27 no.3
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    • pp.399-420
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    • 2018
  • This study has attempted environmental economic analysis on the cost structure of offshore fisheries based on fishery management data published by the Fisheries Research Institute to examine the effect of the environmental policy on the fisheries for the effective implementation of the Paris Convention. Under the assumption that both fisheries and carbon dioxide are simultaneously produced, the cost structure of offshore fisheries were analyzed. Cost function in a translog form was estimated and SUR (Seemingly Unrelated Regression) model was used for the analysis. Here, $CO_2$ emission of offshore fishery was calculated by using National Federation of Fisheries Cooperatives' data on supply of tax exemption oil (2003~2016). The cost function estimation showed that there is a weak disposition between catches and $CO_2$ emissions during the sample period, and the marginal abatement cost (MAC) is estimated at 1,457 won per year. In addition, for the same period, when 1% of $CO_2$ per horsepower is to be reduced MAC increases by 2.2%, and when 1% of $CO_2$ per 1 ton of catch is to be reduced, MAC increases by 1.4%.

A Study on the Amount of the Energy Consumption and $CO_2$ Emission at the Construction Stage in the Apartment Housing using the Input-Output Analysis (산업연관분석을 이용한 공동주택 건설단계의 에너지소비량 및 이산화탄소배출량 산정연구)

  • Kim, Dae-Hee;Kwon, Bo-Min;Choi, Young-Oh;Lee, Kang-Hee
    • Proceeding of Spring/Autumn Annual Conference of KHA
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    • 2006.11a
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    • pp.275-280
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    • 2006
  • The protection of the environment is one of today's key demanding international activities and interests. All of aspects including industry, economy and society should be changed into environmental friendly industries. The building is not exception in this trend. What is not generally realized is that building, in the lifecycle of construction, use and demolition, account for large construction, not considered with environment impact and conservation in the lifecycle. Expecially, the construction materials and components used in the construction stage has much embodied energy. And much $CO_2$ emit on the production of the construction material and component. The energy use and $CO_2$ emission would continuously diminish the limited natural resources and impact the environment such as ozon layer destruction. In this paper, it studied the estimation of the amount of energy use and $CO_2$ emission in the building construction stage, it would provide the estimation process and applied with the multifamily housing.

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