• Journal of Climate Change Research
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• v.6 no.1
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• pp.11-19
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• 2015

This study has aimed to compare an emission trading system (ETS) in the EU and Japan that introduced the scheme prior to Korea and provided the latter with a benchmarking model. Especially, the EU has a reputation for its well-organized and evolving system, and Japan has also successfully established the system despite its similar condition with Korea, such as an industrial structure and the degree of energy dependence. However, there are noticeable differences between the EU and Japan in their ETS. Whereas Japan has focused on securing certifications in CDM as the implementation of Kyoto protocol, EU has shown a tendency to transform the trading market from a parallel structure of EUA and CER transaction to only the EUA transaction after ending of 1st commitment period of the Kyoto Protocol. Since the differences were mainly caused by not only in a design of the system but also in internal governance and their national circumstance, it is meaningful to analyse the Korean case with a similar framework. This study may contribute to designing an appropriate system for emission trading in Korea through the comparison of the EU and Japanese case.

• Journal of Energy Engineering
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• v.26 no.4
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• pp.57-66
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• 2017

Since the heat is not as fast as the electric power and the loss is relatively large compared to the electric power, it is not realistic to operate the thermal transfer system with on operation center like electric power trading. In the case of the Korea District Heating Corporation, where all the thermal transfer are currently being made, only two or four adjacent heat-generating power plants are being the heat trading. Therefore, In this paper, we concluded that it is appropriate to divide the integrated operation center for heat trading into several regions, to operate the hub integrated operation power plant in each region to reflect the characteristics of the heat medium and proposed the thermal transfer mechanism among integrated energy operators. Then, we have developed an algorithm that can optimize the heat transaction for the proposed mechanism and applied it to the actual operators to verify the usefulness of the proposed algorithm.

• Journal of the Korea Society for Simulation
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• v.23 no.4
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• pp.1-8
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• 2014

Cloud computing helps big data processing to make various information using IT resources. The government has to start the RPS(Renewable Portfolio Standard) and induce the production of electricity using renewable energy equipment. And the government manages system to gather big data that is distributed geographically. The companies can purchase the REC(Renewable Energy Certificate) to other electricity generation companies to fill shortage among their duty from the system. Because of the RPS use voluntary competitive market in REC trade and the prices have the large variation, RPS is necessary to predict the equitable REC price using RPS big data. This paper proposed REC price prediction method base on fuzzy logic using the price trend and trading condition infra in REC market, that is modeled in cloud computing environment. Cloud computing helps to analyze correlation and variables that act on REC price within RPS big data and the analysis can be predict REC price by simulation. Fuzzy logic presents balanced REC average trading prices using the trading quantity and price. The model presents REC average trading price using the trading quantity and price and the method helps induce well-converged price in the long run in cloud computing environment.

• Journal of IKEEE
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• v.22 no.2
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• pp.324-329
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• 2018

As the environment of power systems changes, the demand and necessity for new electrical energy market are increasing. Especially, efforts to increase the efficiency of electric energy use by using demand response programs are being studied constantly in advanced countries and it is operated as a real market. This paper presents a study on the baseline load estimation required in the new power market, such as demand response, P2P electricity trading etc. The proposed method estimates the baeline load through analysis of the load pattern and verifies the effectiveness of the proposed method using actual data.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.63 no.1
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• pp.18-26
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• 2014

A microgrid can play a significant role for enlargement of renewable energy sources and emission reduction because it is a network of small, distributed electrical power generators operated as a collective unit. In this paper, an application of optimization method to economical operation of a microgrid is studied. The microgrid to be studied here is composed of distributed generation system(DGS), battery systems and loads. The distributed generation systems include combined heat and power(CHP) and small generators such as diesel generators and the renewable energy generators such as photovoltaic(PV) systems, wind power systems. Both of thermal loads and electrical loads are included here as loads. Also the emissions trading scheme to be applied in near future, the cost of unit start-up and the operational characteristics of battery systems are considered as well as the probabilistic characteristics of the renewable energy generation and load. A mathematical equation for optimal operation of this system is modeled based on the mixed integer programming. It is shown that this optimization methodology can be effectively used for economical operation of a microgrid by the case studies.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.6
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• pp.163-171
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• 2021

In this paper, the energy transaction system was optimized by applying a resource allocation algorithm and deep reinforcement learning in the distributed power system. The power demand and supply environment were predicted by deep reinforcement learning. We propose a system that pursues common interests in power trading and increases the efficiency of long-term power transactions in the paradigm shift from conventional centralized to distributed power systems in the power trading system. For a realistic energy simulation model and environment, we construct the energy market by learning weather and monthly patterns adding Gaussian noise. In simulation results, we confirm that the proposed power trading systems are cooperative with each other, seek common interests, and increase profits in the prolonged energy transaction.

• Environmental and Resource Economics Review
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• v.10 no.4
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• pp.547-567
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• 2001

This paper analyzed what kind of institutional scheme for domestic policy instruments to reduce GHG emissions are desirable for Korea in complying with the international efforts to mitigate climate change, by focusing on independent abatement(equivalent to the imposition of carbon tax) and domestic emission trading. It also examined the economic and environmental implications of recycling the government revenue created from implementation of those policies. By utilizing a dynamic CGE model, this study shows that the economic cost under independent abatement is projected to be higher than that under emission trading. It is because under independent abatement 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 future domestic policies and measure to address the climate change problem in Korea, therefore, this study proposes the introduction of domestic emission trading scheme as the main domestic policy instrument for GHG emission abatement. In terms of double dividend, in addition, this study shows that both independent abatement and emission trading schemes under various assumption on the revenue recycling may not generate the double dividend in Korea.

• Journal of Korea Technical Association of The Pulp and Paper Industry
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• v.44 no.1
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• pp.43-51
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• 2012

Carbon dioxide emission trading market would play very important role in the global effort to cope with climate change. In KOREA, the energy consumption and geen house gas emission of various industry would be controlled by the low carbon-green growth law which was established at 2009. The paper industry as one of major industries in terms of energy consumption has been greatly required to prepare action plan for addressing this regulation and reduction of carbon dioxide emission. In this study, the current states of carbon dioxide emission trading market were analyzed in terms of practical responses of the paper industry. And the various action plans including CDM projects for paper industry were suggested.

• International Commerce and Information Review
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• v.5 no.1
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• pp.181-202
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• 2003

This study investigates the present status and development of e-marketplace which is the most actively used in the e-trade stages from market research, searching for business partners, negotiations to contract. It also shows the present status and development of e-marketplace as an "e-trading company" designated by government, which gives prospect of profitable model of e-marketplace. Especially focused on EC21 - the best e-marketplace of Korea, this study views present status and development of EC21 and trading companies applied for EC21, government designated e-trading company, to receive electronic trading support services. In addition, we hope that the findings of this study will be a helpful material to government for making policy and framing supporting project toward leading organizations of e-trade such as Ministry of Commerce, Industry and Energy, e-trade promotion committee of Korea International Trade Association and small-ta-medium companies interested in e-trade, to activate e-trade.

• Journal of Korean Institute of Industrial Engineers
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• v.43 no.3
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• pp.203-212
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• 2017

Emissions Trading System (ETS) is utilized in many countries, including South Korea, as an efficient policy to abate GHG (Greenhouse Gas) emissions. Grandfathering on the basis of historic emissions is used as the way to allocate permits in South Korea. It, however, has caused an increase in the emission permits and lack of equity. To overcome these drawbacks, we propose an alternative DEA model for centralized allocation of emission abatement to evaluate the amount of emissions abatement by company based on the energy efficiency. In addition, an empirical analysis of 36 assigned companies for ETS in Korean metal industry is conducted to validate the feasibility of the proposed model. The result of the analysis shows that energy-efficient companies achieve reduced target of the emissions abatement and companies with low energy efficiency score are turned out to have contrary outcome, against the result of applying Grandfathering.