• Title/Summary/Keyword: 온실가스배출량

Search Result 830, Processing Time 0.026 seconds

Development of Causal Map for Greenhouse Gas Emission in Construction (건설공사의 온실가스 배출 요인 인과지도 개발)

  • Bae, Jin-Hee;Park, Hee-Sung
    • Proceedings of the Korea Contents Association Conference
    • /
    • 2012.05a
    • /
    • pp.109-110
    • /
    • 2012
  • 최근 지구온난화로 인한 환경 문제의 심각성이 증가하고 있다. 이에 전 산업 부문에서 지구온난화에 가장 큰 영향을 미치는 온실가스 배출량에 대한 규제를 강화하고 있다. 건설 산업에서도 온실가스 저감 대책으로 친환경 에너지 개발, 친환경 건축물 인증제도등 녹색기술의 활동이 활발히 진행 중에 있다. 그러나 이러한 활발한 연구와 노력에도 불구하고 건설공사의 각 단계별 과정에 따른 온실가스 배출량과의 이해관계를 파악하기에는 어려움이 있다. 따라서, 본 논문은 기존 연구문헌을 조사하여 건설공사 과정을 원자재 생산, 시공, 유지 및 관리, 해체 및 재활용의 단계로 구분하여, 건설공사의 각 단계에서 온실가스 배출량에 영향을 미치는 요인을 도출하고, 시스템 다이내믹스의 인과지도 작성을 통하여 온실가스 배출 원인을 분석하였다.

  • PDF

Study on The Generation Expansion Planning Considering Emission Trading and LOLP (배출권거래와 공급신뢰도(LOLP)를 고려한 설비계획 방법론에 관한 연구)

  • Shin, Hye-Kyeong;Chung, Gu-Hyung;Hong, Hee-Jung;Han, Seoc-Man;Kang, Dong-Ju;Kim, Bal-Ho
    • Proceedings of the KIEE Conference
    • /
    • 2007.11b
    • /
    • pp.214-216
    • /
    • 2007
  • Post 2012 기후변화협약 체제의 토래 및 강화되는 기후변화협약으로 인해 우리나라의 온실가스 의무감축이 확실하게 예견되고 있는 현 시점에서 우리나라의 온실가스 감축이행을 위한 대응책의 필요성이 증가하고 있다. 특히 발전부문은 우리나라의 온실가스 배출의 약 30%를 차지하고 있으며, 경제성장에 따라 온실가스 배출량이 빠른 속도로 증가하고 있으므로 Post 2012 기후변화협약 체제의 대응책이 보다 필요하다. 본 연구에서는 향후 발전부문에 온실가스 감축의무가 부담될 것을 고려하여 온실가스 배출량 제약 및 배출권거래제를 고려한 설비계획을 도출하고자 한다. 현재 우리나라의 전원 개발계획에서 사용되고 있는 전산모형(WASP, POWERSYM 등)은 온실가스 배출량 제약 및 배출권거래제를 고려하지 못하므로 MEFISET 모형을 이용하여 이를 고려하고자 한다. 그러나 MEFISET 모형은 설비예비력 제약조건을 통해 공급신뢰도를 만족하고 있다. 이러한 설비계획 결과는 공급신뢰도 기준 을 만족시키기 위해 과도한 설비계획 결과를 도출한다. 따라서 본 연구에서는 이를 보완하기 위해 Visual C를 통해 구현한 LOLP 프로그램을 통해 공급신뢰도 기준을 만족시키기 위한 적정 설비예비력을 추정하고자 한다.

  • PDF

Comparative Analysis of Greenhouse Gas Inventories and Reduction Targets in 16 Metropolitan Cities in Korea (국내 16개 광역시·도의 온실가스 인벤토리 및 감축목표 비교 연구)

  • Park, Nyun-Bae;Jeon, Eui-Chan
    • Journal of Climate Change Research
    • /
    • v.4 no.2
    • /
    • pp.159-175
    • /
    • 2013
  • Emission reduction targets to respond to climate change have been discussed and set locally, nationally and globally. After Korean government set the national target in 2009, 16 metropolitan cities established voluntary emission reduction targets by 2020. This study review and compare historical greenhouse gas emissions, reduction target by 2020 and strategies in 16 metropolitan cities. Most cities chose a consumption-based inventory approach. Some cities set the reduction target excluding land use change and forestry (LUCF) at 30% against business-as-usual by 2020, while others set the absolute reduction target against past year including LUCF. The stringency of reduction target in metropolitan cities was evaluated differently according to the comparative indicators such as the targets against BAU or past year and per capita emission, etc. Key mitigation sectors were different across metropolitan cities. It is suggested that national government share detailed raw data for metropolitan cities' emission inventory with the local government. Using advanced mitigation model and two types' target based on BAU and historical year and integrating local government's climate change plan with its energy plan are also required.

A Study on Estimation of the Greenhouse Gas Emission from the Road Transportation Infrastructure Using the Geostatistical Analysis -A Case of the Daegu- (공간통계기법을 이용한 도로교통기반의 온실가스 관한 연구 -대구광역시를 대상으로-)

  • Lee, Sang Woo;Lee, Seung Wook;Lee, Seung Yeob;Hong, Won Hwa
    • Spatial Information Research
    • /
    • v.22 no.1
    • /
    • pp.9-17
    • /
    • 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 $291,878,020kgCO_2eq/yr$.

저탄소 녹색성장 - 부문별.업종별.연도별 온실가스 감축목표 확정

  • 대한설비건설협회
    • 월간 기계설비
    • /
    • s.253
    • /
    • pp.40-42
    • /
    • 2011
  • 우리나라 전체 온실가스 배출량을 2020년까지 배출 전망치(BAU) 대비 30% 줄이기로 한 것에 맞춰 각 부문과 업종이 분담해야 할 감축 목표량이 정해 졌다. 수송 부문이 34.3%로 감축률이 가장 높고 다음은 건물 26.9%, 발전 26.7%, 공공 기타 25% 순이다. 관심을 끌었던 산업 부문 온실가스 배출량 감축률은 18.2%로 정해졌다. 폐기물은 12.3%이고, 농림어업은 상대적으로 부담이 덜하도록 5.2% 감축률을 배정받았다. 정부는 이같은 내용의 '부문별 업종별 연도별 국가 온실가스 감축목표'를 지난 7월 12일 국무회의에서 확정했다.

  • PDF

Decoupling Analysis between GHGs and GDP in Korea (국내 온실가스 배출량과 경제성장 간 장단기 비동조화 분석)

  • Kim, Daesoo;Lee, Sang-youp
    • Environmental and Resource Economics Review
    • /
    • v.28 no.4
    • /
    • pp.583-615
    • /
    • 2019
  • This paper investigates the level of decoupling between greenhouse gas emissions and economic growth in Korea. Despite previous studies mainly stressed the existence of the Environmental Kuznets Curve, the lack of investigations in the level of decoupling constraints further policy suggestions. This study analyzes the level of decoupling in the short- and long-term, focusing on short-term volatility of GHG emissions income elasticity. In the long run, there is no decoupling in Korea because a robust causal relationship exists between GHGs, GDP, and fossil fuels. However, the short-term volatility is clearly identified under the long-term equilibrium(coupling), indicating there is the relative decoupling in the short run. The results show that fossil fuel dependence is a significant factor that increases short-term volatility(decoupling) and breaks the causal link(coupling) between GHGs and GDP.

Estimation of Greenhouse Gas Emissions from Korean Livestock During the Period 1990~2013 (1990년부터 2013년까지 우리나라 축산부문 온실가스 배출량 평가)

  • Kim, Minseok;Yang, Seung-Hak;Oh, Young Kyoon;Park, Kyu-Hyun
    • Journal of Climate Change Research
    • /
    • v.7 no.4
    • /
    • pp.383-390
    • /
    • 2016
  • According to the "Framework Act on Low Carbon, Green Growth", publication of annual national greenhouse gas (GHG) inventory report is mandatory. This annual GHG inventory report is used as basal data for GHG mitigation strategies. In the livestock sector, GHG emission trends from year 1990 to 2013 were estimated based on the 1996 IPCC guidelines with the Tier 1 methodology. GHG emissions from the livestock sector in 2013 were 9.9 million tons $CO_2-eq$., where emissions from enteric fermentation were 4.4 million tons $CO_2-eq$, increased by 47.4% over 1990 mainly due to the increase in non-dairy cattle population. On the other hand, GHG emissions from livestock manure in 2013 were 5.5 million tons $CO_2-eq$, increased by 75.5% over 1990 mainly due to the increase in non-dairy cattle, swine and poultry populations. Additional research is required to develop country-specific emission factors to estimate GHG emissions precisely from livestock in South Korea.

Application of LEAP Model to Reduce GHG Emissions from Residential Sector (LEAP 모형을 이용한 가정 부문 온실가스 저감효과 분석)

  • Jo, Mi-hyun;Park, Nyun-Bae;Jeon, Eui-Chan
    • Journal of Climate Change Research
    • /
    • v.4 no.3
    • /
    • pp.211-219
    • /
    • 2013
  • This study uses the LEAP model that is a long-term energy analysis model to analyze reduction potential on S city residential sector energy usage for greenhouse gas emission. Energy consumption of S-si in 2009 is consumed most in residential and commerce sector by 39.1%. Also, energy and greenhouse gas emission of residential sector is expected to increase due to increase of households. Therefore, greenhouse gas reduction measures are desperately required in residential sector. For this study recognizes energy consumption of S-si residential sector and has established reduction measure of S-si residential sector greenhouse gas through literature search on domestic and foreign climate change correspondence policies. Also, construction of greenhouse gas reduction potential by reduction measures through LEAP model. There were a total of 5 reduction measures scenarios is Reference Scenario, LED Lighting, Energy Alternative, Green Life Practice, and Total Reduction Measure. As a result, greenhouse gas emission of Light Emitting Diode Lightings by 2020 was $1,181.0thousand\;tonCO_2eq$, decrease of 6.1% compared to the Reference Scenario and Greenhouse gas emission of Energy Alternative by 2020 was $1,171.6thousand\;tonCO_2eq$, decrease of 6.8% compared to the Reference Scenario. Greenhouse gas emission of Green Life Practice by 2020 was $1,128.7thousand\;tonCO_2eq$, decrease of 10.2% compared to the Reference Scenario. For Total Reduction Measures by 2020 emission was $966.9thousand\;tonCO_2eq$, decrease 23.1% compared to Reference Scenario.

Application of 2006 IPCC Guideline to Improve Greenhouse Gas Emission Estimation for Livestock Agriculture (2006 IPCC 가이드라인 축산부문 도입에 따른 온실가스 배출량 계산 개선방안 연구)

  • Ji, Eun-Sook;Yang, Seung-Hak;Cho, Sung-Back;Hwang, Ok-Hwa;Park, Kyu-Hyun
    • Journal of Animal Environmental Science
    • /
    • v.18 no.2
    • /
    • pp.75-84
    • /
    • 2012
  • Current estimation of greenhouse gas (GHG) emissions from livestock agriculture in Korea was based on Revised 1996 IPCC Guidelines for National Greenhouse Gas Inventories (1996 IPCC GL) published in 1996 and emission data were published in National Inventory Report. New guideline book, 2006 IPCC Guidelines for National Greenhouse Gas Inventories (2006 IPCC GL), however, was published in 2006. Hence preparation to apply new guideline for the estimation of GHG emission would be necessary. In this study, 1996 IPCC GL and 2006 IPCC GL for livestock agriculture were compared. Estimated GHG emissions based on Tier 1 methods of 1996 IPCC GL and 2006 IPCC GL between 2000 and 2008 were also compared. Estimated GHG emissions based on 2006 IPCC GL were 1.27~1.33 times higher than those based on 1996 IPCC GL. These results were mainly caused by emission factors of each IPCC GL. More researches should be conducted to decrease uncertainties of national GHG inventories.

Changes in Emissions of Highway Sections according to the GHG Reduction Target (온실가스 감축목표에 따른 고속도로 구간 배출량 변화 연구)

  • Choi, Seonghun;Chang, Hyunho;Yoon, Byungjo
    • Journal of the Society of Disaster Information
    • /
    • v.16 no.4
    • /
    • pp.849-856
    • /
    • 2020
  • Purpose: Greenhouse gases are one of the major causes of global warming, a global disaster. It aims to improve how effective the GHG reduction policy, which is the main cause of global warming in the transportation sector, has been effective on the highway and how to calculate GHG emissions. Method: Using the DSRC raw data, we estimate the emissions of Namhae Expressway (Yeongam-Suncheon) from 2017 to 2019 in two ways, a macro method (conventional) and a micro method (individual vehicle). Result: As a result of calculating the emission of the highway, the result was far exceeding the estimated emission, and it was found that when the calculation was performed for each vehicle, it was underestimated by more than 20%. Conclusion: If more emissions are continuously emitted than expected in the current transportation sector, additional emission reduction policies are needed to achieve the current greenhouse gas reduction targets. In addition, in the calculation of emissions, which is the basis of this policy, analysis was conducted for each individual vehicle using the current DSRC raw data, but using GPS afterwards will enable precise emission calculation through a more microscopic analysis.