• Environmental and Resource Economics Review
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• v.27 no.1
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• pp.67-104
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• 2018

In this paper, we compare the spread effects of the carbon tax imposition method using the real business cycle model considering the productivity and energy price shocks. Scenario 1 sets the carbon tax rate that encourages the representative firm to maintain a constant $CO_2$ reduction ratio in accordance with its green house gas reduction targets for each period. Scenario 2 sets the method of imposing the steady state value of the carbon tax rate of Scenario 1 during the analysis period. The impulse response analysis shows that the responses of $CO_2$ emissions to external shocks are relatively sensitive in scenario 2. And simulation results show that the cost of $CO_2$ abatement is more volatile in scenario 1, and $CO_2$ emissions and $CO_2$ stock are more volatile in scenario 2. In particular, the percentage changes in volatility between the two scenarios of $CO_2$ emissions and $CO_2$ stock increase as the green house gas reduction target is harder. When the green house gas reduction target is 60% and over, the percentage changes(absolute value) between the two scenarios exceed the percentage change(absolute value) of the $CO_2$ reduction cost between them.

• Journal of Energy Engineering
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• v.17 no.2
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• pp.54-66
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• 2008

After the Kyoto Protocol has been ratified in Feb. 16 2005, the developed countries which is involved in Annex-1 have tried to mitigate GHG to the reduction objective. To accomplish this objective, EU developed EU-ETS, CDM project, and so on. Korea has faced pressure to be a member of Annex-1, because Korea and Mexico are only non-Annex-1 countries in the OECD nations. In this study, we simulated power plant expansion plan and calculated $CO_2$ emission with changing Carbon Tax. Especially, we focused on the competitiveness of IGCC and carbon capture technology. In our result, even though carbon tax rise, nuclear power plant does not always increase, it increase up to minimum load. LNG combined cycle power plants substitute the coal fired power plants. If there are many alternatives like IGCC, these substitute a coal fired power plant and we can reduce more $CO_2$ and save mitigation cost.

• Environmental and Resource Economics Review
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• v.17 no.3
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• pp.1-29
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• 2008

The goal of this study is to analyze the effects of the second energy tax reform of the transportation sector in Korea. For this purpose, we estimated the elasticities of energy demand(for gasoline, diesel and LPG) by using the ARDL(Auto-Regressive Distributed Lag) Model during the period of 1997 and 2005. We have the empirical results that the demand for diesel would decrease as much as of 382 million barrel per year and the demand for LPG would increase as much as of 20 million barrel per year since 2007. The second energy tax reform would also result in the decrease of 27,346 ton of air pollutants and 0.96 million ton of carbon dioxide per year. This shows that the second energy tax reform would have achieved its own policy goals by reducing energy demand and improving the quality of environment.

• Transactions of the Korean hydrogen and new energy society
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• v.35 no.1
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• pp.1-13
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• 2024

Hydrogen is emerging as an essential material for carbon neutrality. In particular, Korea needs 22.9 million tons of imported clean hydrogen by 2050 to achieve carbon neutrality. However, a large amount of carbon is emitted during the import process, and market regulations are being discussed. This research estimates the carbon emissions of importing green hydrogen from Vietnam, Australia, and the United Arab Emirates to Korea, and calculates imported green hydrogen prices under carbon emission market regulations.

• Proceedings of the Korean Nuclear Society Conference
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• 1997.05b
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• pp.651-656
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• 1997

Efforts are made to examine the role nuclear energy under the international carbon emissions regulation. To do so, an econometric model for energy demand and supply is developed. Here, several scenarios on the regulation are assumed and then each scenario is analyzed by using this model. This model also makes it Possible to analyze the effect of carbon tax. The results show that share nuclear increases up to 60% in 2020 Instead 45% makes GDP rise by 1.9% while the electricity price lower by 46% in carbon emission regulation.

• Korean Journal of Construction Engineering and Management
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• v.17 no.4
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• pp.66-75
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• 2016

Korean Government is implementing green remodeling projects on existing buildings and structures in a way of promoting low carbon green growth. However, the current regulations and systems do not clearly define the scopes and contents of the green remodeling. Also, the lack of the inducement measure is another reason of the low engagement of the private enterprises to the green remodeling business. Therefore, this study proposes a tax exemption plan to promote green remodeling business implementation, with the consideration on practical applicability. And the proposed plan was applied to the green remodeling pilot project case in2 014 and the effect was quantitatively analyzed. The result is expected to be used as a base data to improve the tax exemption benefit system to invigorate green remodeling later.

• Environmental and Resource Economics Review
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• v.23 no.4
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• pp.747-784
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• 2014

Many countries have implemented a variety of climate and energy policies to reduce greenhouse gas emissions and expand renewable energy production. The ultimate goals of those policies are associated with transition to a low-carbon economy that aims to combat climate change and economic growth. This study aims to examine empirically if the countries which implement overlapping climate policies and renewable energy policies show additional reduction of the GHG emissions than the countries which implement single climate or renewable energy policy. The result shows that overlapping policies contribute to reduce additional GHG but not all cases. In particular, only overlapping policies mixing 'ETS and RPS(renewable portfolio standards)' and 'Carbon Tax and FIT(Feed-in Tariff)' can lead to additional reduction of GHG emissions.

• Korean Journal of Construction Engineering and Management
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• v.12 no.3
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• pp.73-82
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• 2011

The term 'green' has become an important way of survival for the construction industry in 21th century in accordance with the emergence of the environmental crisis due to the climatic change. Especially the policy of carbon taxation, planed to be introduced from 2012, is expected to be a considerable burden to the construction industry which has abundant carbon emission during the resource transportation due to the complexity of resources and local distribution of the construction sites. In this regard, this study shows an optimizing strategy for delivery frequency, which downsizes the net distribution costs based on the assumption that, despite of its other advantagements, the frequent small lot mode of JIT delivery would take negative effects due to the increase of costs of transportation and carbon emission once the carbon taxation policy carried out. To simulate the efficiency of the management strategies, the System Dynamics modeling has been used. The results show that the frequent small lot transportation strategy is now always efficient method to these changes, and that the frequency of transportation should be re-determinated according to the extent of the imposition of carbon tax. This study provides the conceptual frame for an efficient management of transportation system of the construction industry, showing necessity of change of the resource transportation systems through analysing JIT deliver system in accordance with the global changes in environmental economy.

• Journal of Advanced Marine Engineering and Technology
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• v.41 no.4
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• pp.323-329
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• 2017

Nowadays, considering global warming and enhanced prohibition to discharge pollutants at sea, all of existing operation-ships must lead to the reduction of fuel consumption. International standards of International Maritime Organization and EU rules governing harbor pollutants are being strengthened. Therefore, ship-owners and operators are seeking ways to reduce $CO_2$, SOx, and NOx emissions. Although world trade continues to expand, total fuel usage for sea transport tends to diminish. However, ICS(International Chamber of Shipping) has set a goal of reducing $CO_2$ emissions from shipping by 50% until 2050. In addition, with respect to the Paris Climate Change Accord in 2015, IMO proposes to set up a reduction target of GHG emission from existing operation-ships. For setting up a reduction target of GHG from international maritime transport, "A data collection system for fuel consumption" will be introduced in the near future. In order to effectively reduce the use of fuel in a ship in accordance with the trend of compulsory fuel saving from operation ships, this paper suggested adoption of an Incentive-Penalty scheme based on Emission-Trading-Scheme, Carbon Tax, and basic calculation formula after verifying the EEOI level for a year.

• Journal of Electrical Engineering and Technology
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• v.13 no.2
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• pp.580-590
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• 2018

Active distribution system (ADS) considering distributed generation (DG) and electric vehicle (EV) is an effective way to cut carbon emission and improve system benefits. ADS is an evolving, complex and uncertain system, thus comprehensive model and effective optimization algorithms are needed. Battery swapping station (BSS) for EV service is an essential type of flexible load (FL). This paper establishes ADS planning model considering BSS firstly for the minimization of total cost including feeder investment, operation and maintenance, net loss and carbon tax. Meanwhile, immune binary firefly algorithm (IBFA) is proposed to optimize ADS planning. Firefly algorithm (FA) is a novel intelligent algorithm with simple structure and good convergence. By involving biological immune system into FA, IBFA adjusts antibody population scale to increase diversity and global search capability. To validate proposed algorithm, IBFA is compared with particle swarm optimization (PSO) algorithm on IEEE 39-bus system. The results prove that IBFA performs better than PSO in global search and convergence in ADS planning.