• Title/Summary/Keyword: GHG emission reduction

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Review on Studies about Greenhouse Gas Reduction Scenarios toward 2050 in Developed Countries and Implications (선진국의 2050년 온실가스 저감 시나리오에 관한 연구 동향과 시사점)

  • Park, Nyun-Bae
    • Journal of Environmental Policy
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    • v.5 no.3
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    • pp.57-78
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    • 2006
  • Now post 2012 greenhouse gas reduction commitment being discussed, studies about long-term GHG reduction scenarios toward 2050 have actively been worked separately from 5 years short-term approach. In this paper, background, temperature target, $CO_2$ concentration target, national emission target, and approach of long-term reduction scenarios toward 2050 particularly in European countries such as UK, Germany, France, Netherlands et al. are reviewed. After comparing GDP and emission indices between Developed (European) countries and Korea, some implications of long-term GHG reduction scenarios are deduced. Acting early owing to uncertainty in climate change impact and technology development rather than delaying reduction activity owing to scientific uncertainty in climate change is needed. Providing our society's vision of climate change and government's explicit direction through long-term GHG reduction target setting toward 2050 and economic units' preparing for those are needed.

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Assessment of GHG Emission Reduction Potential in Extension of Nuclear and Renewable Energy Electricity Generation (원자력과 신재생에너지 발전설비 확대에 따른 온실가스 저감 잠재량에 관한 연구)

  • Jun, Soo-Young;Park, Sang-Won;Song, Ho-Jun;Park, Jin-Won
    • Journal of Energy Engineering
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    • v.18 no.3
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    • pp.191-202
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    • 2009
  • South Korea, ranks 10th largest emitter of carbon dioxide in the world, will probably be under the obligation to reduce GHG emission from 2013. It is very important to reduce the electrical energy consumption since 30% of GHG emission in South Korea is made during electricity generation. In this study, based on "the 1st national energy master plan", the GHG emission reduction potential and the feasibility of the scenario in the electricity generation have been analyzed using LEAP(Long-range Energy Alternative Planning system). The scenario of the mater plan contains the 41% expansion of nuclear power plant facilities and the 11% diffusion of renewable energy until 2030. In result, total $CO_2$ emission reduction rate is 28.8% in 2030. Also $CO_2$ emission of unit electricity generation of bituminous coal power plant is $0.85kgCO_2/kWh$ and its LNG power plant is $0.51kgCO_2/kWh$ in BAU scenario. Therefore when existing facilities is exchanged for nuclear or renewable energy power plant, substitute of bituminous power plant is more effective than LNG power.

A Case Study of GHG Reduction Based on Electricity Consumption Pattern of Individual Rooms : In case of Seoul National University (실별 전력 소비패턴에 의거한 온실가스 감축 잠재량 산정 - 서울대학교 관악 캠퍼스를 대상으로 -)

  • Kim, Seok-Young;Park, Moonseo;Lee, Hyun-Soo;Kim, Sooyoung;Jung, Hye-Jin
    • Korean Journal of Construction Engineering and Management
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    • v.14 no.4
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    • pp.55-64
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    • 2013
  • As GHG target management is introduced in Korea, designated establishment takes responsibilities to reduce more than 30% of expected GHG emission until 2020. Although decreasing GHG has been requested to universities which consume great amount of energy, there are difficulties to apply high cost countermeasures. Therefore, this research suggest a low cost, easily-applicable energy saving method, and derive potential GHG reduction amount in the case of SNU, Kwan-ak campus. First of all, 11 rooms of different use were chosen as the samples, and energy consumption in each room was measured. Standard models for each room were built through researching on the electric devices in each room. Moreover, energy consumption was computed for each devices through analyzing the pattern of electricity consumption. 32 GHG reduction technology and action program were chosen, and they were applied to the standard models for individual rooms. Through multiplying energy reduction rate of each program to energy consumption of each electric device, maximum energy reduction of each electric device is derived. Through that, Maximum GHG reduction for individual rooms and each month and the total GHG reduction capacity of Kwan-ak campus were computed. It was found out that approximately $5,311tCO_2$-eq can be reduced, when reduction technology and action program suggested by this research are applied. It appeared 24.48% of requested reduction amount to SNU can be reduced, till 2016.

Estimation of Greenhouse Gas (GHG) Reductions from Bioenergy (Biogas, Biomass): A Case Study of South Korea (바이오에너지 (바이오가스, 바이오매스) 기술의 온실가스 감축산정: 국내를 대상으로)

  • Jung, Jaehyung;Kim, Kiman
    • Journal of Korean Society for Atmospheric Environment
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    • v.33 no.4
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    • pp.393-402
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    • 2017
  • In this study, greenhouse gas (GHG) reductions from bioenergy (biogas, biomass) have been estimated in Korea, 2015. This study for construction of reduction inventories as direct and indirect reduction sources was derived from IPCC 2006 guidelines for national greenhouse gas inventories, guidelines for local government greenhouse inventories published in 2016, also purchased electricity and steam indirect emission factors obtained from KPX, GIR respectively. As a result, the annual GHG reductions were estimated as $1,860,000tonCO_{2eq}$ accounting for 76.8% of direct reduction (scope 1) and 23.2% of indirect reduction (scope 2). Estimation of individual greenhouse gases (GHGs) from biogas appeared that $CO_2$, $CH_4$, $N_2O$ were $90,000tonCO_2$ (5.5%), $55,000tonCH_4$ (94.5%), $0.3tonN_2O$ (0.004%), respectively. In addition, biomass was $250,000tonCO_2$ (107%), $-300tonCH_4$ (-3.2%), $-33tonN_2O$ (-3.9%). For understanding the values of estimation method levels, field data (this study) appeared to be approximately 85.47% compared to installed capacity. In details, biogas and biomass resulting from field data showed to be 76%, 74% compared to installed capacity, respectively. In the comparison of this study and CDM project with GHG reduction unit per year installed capacity, this study showed as 42% level versus CDM project. Scenario analysis of GHG reductions potential from bioenergy was analyzed that generation efficiency, availability and cumulative distribution were significantly effective on reducing GHG.

Prediction of Potential $CO_2$ Reduction through Ground Transportation Modal Shift with Fu7el Type and Scenarios (연료원별 온실가스배출량을 고려한 육상교통수단에서의 Modal Shift 효과)

  • Kim, Cho-Young;Lee, Cheul-Kyu;Kim, Yong-Ki
    • Proceedings of the KSR Conference
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    • 2011.05a
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    • pp.521-527
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    • 2011
  • Korea announced GHG reduction goal, 30% reduction compare with 2020 BAU and reduction target for each industry sector is planning. Transportation sector also trying to make effective technical and political counterplan of allocated GHG reduction target such as material lightening, energy efficiency improvement and Modal shift technology and so on. Modal Shift is shifting low energy efficiency vehicle to high energy efficiency vehicle which is economically meaningful under current market conditions. We can get not only energy efficiency improvement but also GHG reduction effect through modal shift. Modal Shift is effectively applying and studied in logistics field in Europe and Japan and one of the Indian companies has been registered CDM project activity involving modal shift from roadways to railways for finished goods. In this study, the scenarios are developed with detail modal shift ratio and fuel type base on state of road and rail use and GHG emission factor for each fuel type from MLTM. This result can be used as basic information to improve policies and promote increasing use of train which is more environment friendly transportation vehicle.

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Development of Pre-Validation Program of Clean Development Mechanism for Renewable Energy (신재생에너지 사업의 청정개발체제 사전 타당성 평가 프로그램 개발)

  • Park, Jong-Bae;Jeong, Yun-Won;Lee, Woo-Nam;Lee, Sang-Hyung;Won, Sung-Hee;Hur, Bo-Yeon;Oh, Dae-Gyun;Ha, Gyung-Ae
    • Proceedings of the KIEE Conference
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    • 2006.07a
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    • pp.420-421
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    • 2006
  • The cost-effective reduction of greenhouse gas(GHG) emission to avert the most severe impacts of climate change remains one of the widely accepted priorities for global action. In order to facilitate cost-effective abatement strategies, the Kyoto Protocol introduced three mechanisms, or flexible instruments, the Emissions Trading(ET), the Joint Implementation(JI) and the Clean Development Mechanism(CDM). The CDM enables Annex I countries to the Kyoto Protocol to partially meet cost-effectively their emission reduction commitments by undertaking GHG mitigation Projects in developing countries, which do not have any GHG abatement obligations and where the emission reductions are cheaper. One of the major barriers hampering the wide spread implementation of CDM is the high transaction costs associated with the initial identification of promising CDM projects. This paper presents development of a pre-validation program of CDM. The developed program may provide a useful aid to potential investors and project developers as a supportive pre-evaluation tool, and may become an effective tool for the promotion of renewable energy and fuel switching projects.

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Estimation of Green-House-Gas emissions from domestic eel farm (뱀장어 양식장에서 발생하는 온실가스 배출량 산정)

  • Kim, Jong-Hyun;Lee, Kyounghoon;Lee, Dong-Gil;Park, Seong-Wook;Yang, Yong-Su
    • Journal of the Korean Society of Fisheries and Ocean Technology
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    • v.50 no.1
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    • pp.58-66
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    • 2014
  • The purpose of the study is to estimate the Green-House-Gas (GHG) emissions from domestic eel farm in the water recirculation system or still-water system by the assessment of energy consumptions and GHG emissions for establishing to reduce standards of GHG from a sustainable perspective. GHG emission components as seeds, feed, fuel, electricity, fixed capital, fish respiration, and others were analysed at the different culture type between water recirculation system and still-water system by 3 stage farm size of small, medium, large scale. The result showed that the mean GHG emission of the eel farm was $18.7kg{\cdot}CO_2$ in the stage of production per fish 1kg at different culture type and farm size. Therefore it could be useful for policy, planning, and regulation of aquaculture development with establishing GHG reduction standards.

LMDI Decomposition Analysis on Characteristics of Greenhouse Gas Emission from the Line of Railroad in Korea (LMDI 분해 분석을 이용한 국내 철도 노선별 온실가스 배출 특성 분석)

  • Lee, Jae-Hyung;Lim, Jee-Jae;Kim, Yong-Ki;Lee, Jae-Young
    • Journal of the Korean Society for Railway
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    • v.15 no.3
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    • pp.286-293
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    • 2012
  • Korean government is enforcing 'Greenhouse gas target management' in order to achieve Greenhouse gas reduction target. To attain Greenhouse gas reduction target, companies in Korea must establish their GHG inventory system and analysis their GHG emissions characteristics for deduction of mitigation measures. LMDI(Log Mean Divisia Index) decomposition analysis is widely used to understand characteristics of GHG emission and energy consumption. In this paper, the characteristics of GHG emission from the line of railroad in Korea is respectively analyzed in terms of conversion effect, intensity effect, production effect and distance effect. Data of railroad GHG emission from 2000 to 2007 are used. As a result, total effect of railroad's GHG emission is $96,813tCO_2eq$. Production effect ($39,865tCO_2eq$) and distance effect ($327,923tCO_2eq$) affect increase of railroad GHG emissions while Conversion effect ($-158,161tCO_2eq$) and intensity effect ($-112,814tCO_2eq$) influence decrease of the emissions.

An Analysis on Korean Nuclear Power's Contribution to the GHG Emission Reduction and the Economic Effect (한국 원자력발전의 온실가스 저감 기여도 및 경제적 효과 분석)

  • Cho, Byung-Oke;Kim, Shin-Jong;Kim, Jum-Su
    • Journal of Energy Engineering
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    • v.19 no.4
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    • pp.203-214
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    • 2010
  • This study is to assess the reduction of greenhouse gas emission and economic contribution by operating nuclear power plants in Korea. According to the results of applying greenhouse gas emission coefficients to the current nuclear power generation and the estimated nuclear power generation of national energy master plan, it is confirmed quantitatively that nuclear power contributes to reducing greenhouse gas emission, controlling inflation, and substituting import of fossil energies. For the reliable and cost-effective supply of energy and the active respondency to climate change, a continuous expansion of nuclear power is implied to be necessary.

Comparison of Greenhouse Gas Emissions from Road Transportation in Local Cities/Counties of Gyeonggi Province by Calculation Methodologies (도로수송부문의 온실가스 배출량 산정방법에 따른 경기도 시·군별 배출량 비교)

  • Lee, Tae-Jung;Kim, Ki-Dong;Jung, Won-Seok;Kim, Dong-Sool
    • Journal of Korean Society for Atmospheric Environment
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    • v.28 no.4
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    • pp.454-465
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    • 2012
  • The Korean government decided to reduce 30% of GHG (greenhouse gas) emissions BAU in 2020. Since many efforts to reduce emissions are urgently needed in Korea, the central administrative organization urges local governments to establish their own reduction schemes. Among many GHG emission categories, the emission from mobile source in Gyeonggi Province accounted for 25.3% of total emissions in 2007 and further the emission from road transport sector occupied the most dominant portion in this transportation category. The objective of this study was to compare 3 types of GHG emissions from road transport sector in 31 local cities/counties of Gyeonggi Province, which have been estimated by Tier 1, Tier 2, and Tier 3 methodologies. As results, the GHG emission rates by the Tier 1 and Tier 2 were $19,991kt-CO_2\;Eq/yr$ and $18,511kt-CO_2\;Eq/yr$, respectively. On the other hand, the emission rate by Tier 3 excluding a branch road emission portion was $18,051kt-CO_2\;Eq/yr$. In addition, the total emission rate including all the main and branch road portions in Gyeonggi Province was $24,152kt-CO_2\;Eq/yr$, which was estimated by a new Tier 3 methodology. Based on this study, we could conclude that Tier 3 is a reasonable methodology than Tier 1 or Tier 2. However, more accurate and less uncertain methodology must be developed by expanding traffic survey areas and adopting a suitable model for traffic volumes.