• Environmental and Resource Economics Review
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• v.30 no.2
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• pp.169-205
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• 2021

This study quantitatively analyzes the impact of greenhouse gas (GHG) emissions reduction policies on the global economy. To this end, we develop a multi-national and multi-industry static computational general equilibrium model that includes three components-GHG emissions from production, disutility due to GHG emissions, and governments' GHG emissions reduction policies. Then we calibrate the model with the relevant data and solve for the equlibrium using the most recent methodology (exact hat algebra). We find that the strengthening of unilateral GHG emissions reduction policies for each country reduces carbon emissions from domestic producers, but does not necessarily reduce global carbon emissions as production is relocated to other countries. On the other hand, we can reduce GHG emissions when all major countries simultaneously implement the strengthened reduction policies proposed by the OECD (2016). Our results imply that aligned reduction efforts of major countries are necessary to reduce global GHG emissions.

• Journal of Energy Engineering
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• v.25 no.3
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• pp.114-129
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• 2016

Since the release of mid-term domestic GHG goals until 2020, in 2009, some various GHG reduction policies have been proposed to reduce the emission rate about 30% compared to BAU scenario. There are two types of modeling approaches for identifying options required to meet greenhouse gas (GHG) abatement targets and assessing their economic impacts: top-down and bottom-up models. Examples of the bottom-up optimization models include MARKAL, MESSAGE, LEAP, and AIM, all of which are developed based on linear programming (LP) with a few differences in user interface and database utilization. The bottom-up model for electric sector requires demand management, regeneration energy mix, fuel conversation, etc., thus it has a very complex aspect to estimate some various policies. In this paper, we suggest a bottom-up BAU model for electric sector and how we can build it through step-by-step procedures such that includes load region, hydro-dam and pumping storage.

• Journal of Energy Engineering
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• v.24 no.1
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• pp.58-68
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• 2015

A marginal abatement cost analysis has been conducted to analyze the effects of abatement measures on greenhouse gas (GHG) emissions for the Korean residential sector. A bottom-up model using MESSAGE has been developed by defining the energy demand and constructing the reference energy system for the residential sector. A great amount of activity data has also been analyzed. Abatement potentials and related costs of individual abatement measures are investigated. The result from the marginal abatement cost analysis may provide general guidelines and procedures for the establishment of GHG abatement polices.

• Journal of Korean Society of Transportation
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• v.36 no.1
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• pp.1-12
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• 2018

The purpose of this study is to establish a methodology for evaluating quantitative effects of transportation GHG (greenhouse gas) reduction-related policies that were implemented based on the reduction goals of transportation GHG and effective implementation plans. This study uses a modal utility function and demand estimation models as well as a GHG emission basic unit estimation model by each transportation mode based on actual traffic and emission data. The results showed that the effects of GHG reduction policies such as electric vary from region to region, and from vehicle to vehicle. It is also confirmed that an eco-drive promotion policy, one of the lowest budget policies, is expected to contribute to high reduction in GHG. In addition, not only automobile emission improvement policies but also the promotion policies of public transportation are expected to highly reduce GHG as confirmed quantitatively in this study. The results of this study are expected to be useful for national and local governments' evaluation of GHG reduction policies to cope with the post 2020.

• Journal of Energy Engineering
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• v.23 no.4
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• pp.150-159
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• 2014

Since the release of mid-term domestic GHG goals until 2020, in 2009, some various GHG reduction policies have been proposed. There are two types of modeling approaches for identifying options required to meet greenhouse gas (GHG) abatement targets and assessing their economic impacts: top-down and bottom-up models. Examples of the bottom-up optimization models include MARKAL, MESSAGE, LEAP, and AIM, all of which are developed based on linear programming (LP) with a few differences in user interface and database utilization. In this paper, we suggest a simplified LP formulation and how can build it through step-by-step procedures.

• Journal of the Korea Organic Resources Recycling Association
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• v.32 no.1
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• pp.13-19
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• 2024

The objective of this study was to assess the feasibility of a landfill project aimed at reducing greenhouse gas (GHG) from Puerto Cortes Landfill in Honduras ("Project"). The feasibility study involved surveying the status, composition and amount of waste entering the landfill, and projecting GHG emissions from the landfill. A projection of the GHG emissions with the IPCC model and based on the survey results indicated that the period 2027 to 2041 would see a total GHG emission reduction of 506,835 ton-CO₂/year, with a mean yearly GHG emission reduction of 33,789 ton-CO₂, assuming landfill gas collection is implemented, The findings of the study are expected to serve as basic data for deciding about whether and how to proceed with the Project.

• Journal of Environmental Policy
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• v.9 no.3
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• pp.115-142
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• 2010

The voluntary mid-term greenhouse gas(GHG) emission reduction targets for 2020 among major developed and developing countries were evaluated by using the global computable general equilibrium(CGE) model. The GHG emissions of developed countries were estimated to be reduced by 14.0% from 1990 level, which implies that the GHG reduction targets of developed countries should be strengthened to reach agreement in future post-Kyoto negotiations. The voluntary participation of developing countries for GHG emissions reduction contributed to global GHG emissions reduction by 15.9% from 1990 levels, which were led by the participation of China and India. These outcomes imply that the reinforcement of GHG emission reduction targets in developed countries and the wider participation of developing countries will be necessary for the environmental effectiveness of the post-Kyoto regime. Emissions reduction based on voluntary targets will decrease the global real GDP by 1.18%.

• Journal of Climate Change Research
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• v.4 no.4
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• pp.349-358
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• 2013

In this study, the newest technology available to reduce GHG emissions, which can be applicable in energy industries of the future that has large reduction obligations by energy target management and large intensity of GHG emissions, has been investigated by searching the technical characteristics of each technology. The newest technology to reduce GHG emissions in the field of power generation and energy can be mainly classified into the improvement of efficiency, CCS, and gas combined-cycle technology. In order to improve the reliability of the GHG emission factor obtained from the investigation process, it has been compared to the technology-specific GHG emission factor derived from the estimated amount of emissions. Then the GHG abatement measures, using the derived estimation of factor, by using the newest technology to reduce GHG emissions have been predicted. As a result, the GHG reduction rate by technology of CCS development has been expected to be the largest more than 30%, and the abatement rate by technology of coal gasified fuel cell and pressurized fluidized-bed thermal power generation has been showed more than 20%. If the effective introduction of the newest technology and the study of its characteristics is continued, and properly applied for future GHG emissions, it can be prospected that the national GHG reduction targets can be achieved in cost-efficient way.

• Proceedings of the KIEE Conference
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• 2007.11b
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• pp.214-216
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• 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.

• Environmental and Resource Economics Review
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• v.12 no.2
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• pp.245-274
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• 2003

This paper analyzes the economic and environmental impacts of domestic policy to reduce greenhouse gas emissions by focusing on carbon tax, domestic emissions trading and the mixture of these policies. By utilizing a dynamic CGE model, KORTEM, this study shows that the economic cost under carbon tax is projected to be higher than that under emission trading. It is because under carbon tax scheme each emitter in economy must meet its emission target regardless of the abatement cost. On the other hand, emission trading allows emitters to reduce the marginal cost of abatement through trading of emission permits. In designing policy portfolio to address the climate change problem in Korea, therefore, this paper proposes the introduction of domestic emission trading scheme as the main domestic policy Instrument.