• Title/Summary/Keyword: Energy trading

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Settlement Technique of Constrained On/Off Compensation Amount using Surplus Function in Electricity Market (잉여함수를 이용한 전력시장에서의 제약보상금액 정산기법)

  • 국경수;문영환;오태규
    • Journal of Energy Engineering
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    • v.11 no.4
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    • pp.324-331
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    • 2002
  • ln competitive electricity market, useful technique would be required to calculate settlement amount for electric power traded between market participants and KPX since a number of market partici-pants would appear and trade electric power. Especially calculation of constrained on/off compensation amount can be complicated, and needs to be understood clearly by market participants to avoid unnecessary disputes. This paper presents a technique to settle more easily constrained on/off compensation amount using surplus function. In this technique, a surplus is calculated by each dispatched values and then the compen-sation amount is calculated by the difference of each surpluses. By doing this, settlement amount can be cal-culated by summing the trading amount and the compensation amount.

A Study on the Applicability of CDM Project Methodology (적용 가능한 CDM 사업 방법론 연구)

  • Song, Seung-Kug;Heo, Eunn-Yeong
    • New & Renewable Energy
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    • v.3 no.4
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    • pp.104-113
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    • 2007
  • 교토의정서(Kyoto Protocol)의 발효로 전 세계적으로 에너지절약형 산업구조로의 전환 및 신재생에너지 개발 등의 온실가스 감축을 위한 노력이 활발하게 진행되고 있으며, 우리나라 또한 온실가스 저감을 피할 수 없게 되었다. 특히 선진국(Annex I)의 구속력 있는 감축목표를 규정하고 있는 교토의정서의 의무이행에 유연성을 부가하기 위해 교토메카니즘이 채택되었다. 교토 메카니즘은 CDM(Clean Development Mechanism), JI(Joint Implementation), ET(Emission Trading)로 이루어져 있으며, 이 가운데 CDM 사업은 선진국(Annex I)과 개발도상국 non-Annex I)간 공동 협력 사업으로 non-Annex I 국가인 우리나라가 참여할 수 있기 때문에 국내 기업 및 정부의 관심이 높아지고 있다. 이러한 CDM 사업을 수행하기 위해서는 적용 가능한 CDM 사업 방법론이 필요하며, 방법론이 없을 경우 CDM 사업 방법론을 개발하여야 한다. CDM사업 방법론에는 레이스라인, 추가성, 배출 감축량, 모니터링 등에 대한 구체적인 방법이 제시되어야 하고 사업 수행자는 사업의 타당성 확인 및 검증을 위해 방법론을 정확히 이해해야 한다. 따라서 본 CDM사업 방법론 연구를 통해 CDM사업 수행 및 방법론 개발을 위한 주요 항목의 이해를 돕고 국내 CDM 사업의 활성화를 도모하고자 한다.

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Remodeling Techniques for Reducing Greenhouse Gases Emissions in Existing Buildings (기존 건축물의 온실가스 감축을 위한 리모델링 기술 개발)

  • Kwon, Chul-Hwan;Park, Jong-Sup
    • Journal of the Korean Society for Advanced Composite Structures
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    • v.7 no.1
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    • pp.45-52
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    • 2016
  • There are only 10 projects of the domestic greenhouse gas(GHG) emissions trading scheme in building sector (i.e., 1.5% of 652 registered projects) because the certified methodologies to reduce GHG emissions can not be applied to building sector. This study presents remodeling techniques to reduce GHG emissions in existing buildings. First of all, preconditions and related regulations were reviewed. And then, a pool of factors for GHG reduction are selected and evaluated with respect to factors for reducing energy consumption. This study also investigates the criteria and the decision making process for remodeling techniques to reduce GHG emissions. Finally, the remodeling techniques using the decision making process were grouped based on redundancy of each effect. If reducing methodologies for GHG offset program can be developed using the analyzed remodeling techniques in this study, registered projects in building sector would be increase.

A study on the UI design and program development for integrated management of carbon data in city (도시 탄소데이터 통합관리를 위한 프로그램 설계 방안 및 UI 연구)

  • Park, Jun-Hyoung;Kim, Seong-Sik;Kim, Jong-Woo;Choi, Guei-Tai
    • Journal of the Korean Solar Energy Society
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    • v.33 no.2
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    • pp.108-117
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    • 2013
  • Studies on the regulation and measurement of greenhouse gases(GHGs) emissions have been carrying out for global wanning. In order to reduce greenhouse gas emissions, many countries have been promoting the Emissions Trading System and projects of the Joint Implementation(JI) and Clean Development Mechanism(CDM). These country's GHG emissions have been measured calculation criteria based on the Intergovernmental Panel on Climate Change(IPCC) Guidelines. In order to respond to GHGs regulation, in each country, it is planing to build a Low-Carbon City. The system has been developed for calculating GHGs emissions from companies and institutions in their respective countries. However, the system can monitor the GHGs per city, has not been developed. In this paper, it is studied to design the User Interface and to develop integrated monitoring program for Low-carbon city. This program will make possible monitoring and management, statistics, and reports written by using each data in units of cities.

A Study on the Monitoring of Market Power using Contingent Transmission Rights in Competitive Electricity Markets (경쟁적 전력시장에서 Contingent Transmission Rights을 이용한 지역적 시장지배력 감시방안)

  • Park, Jung-Sung;Han, Seok-Man;Kim, Bal-Ho
    • Journal of Energy Engineering
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    • v.15 no.4 s.48
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    • pp.256-276
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    • 2006
  • Transmission congestion is one of the key factors to local market power in competitive electricity markets. Financial transmission rights provide the financia] protection to their holders by paying back the congestion rent. A variety researches have shown that the existing trading mechanisms on transmission right can exacerbate market power. This paper proposes an alternative methodology in mitigating the local market power using the Contingent Transmission Rights on the locational marginal pricing scheme. The proposed methodology was demonstrated with the Optimal Power Flow.

Optimization Process Models of CHP and Renewable Energy Hybrid Systems in CES (구역전기 사업시 CHP와 신재생에너지 하이브리드 시스템의 최적공정 모델)

  • Lee, Seung Jun;Kim, Lae Hyun
    • Journal of Energy Engineering
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    • v.26 no.2
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    • pp.99-120
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    • 2017
  • In SS branch of Korea District Heating Corporation, Combined Heat & Power power plant with 99MW capacity and 98Gcal / h capacity is operated as a district electricity business. In this region, it is difficult to operate the generator due to the problem of surplus heat treatment between June and September due to the economic recession and the decrease in demand, so it is urgent to develop an economical energy new business model. In this study, we will develop an optimized operation model by introducing a renewable energy hybrid system based on actual operation data of this site. In particular, among renewable energy sources, fuel cell (Fuel Cell) power generation which can generate heat and electricity at the same time with limited location constraints, photovoltaic power generation which is representative renewable energy, ESS (Energy Storage System). HOMER (Hybrid Optimization of Multiple Energy Resources) program was used to select the optimal model. As a result of the economic analysis, 99MW CHP combined cycle power generation is the most economical in terms of net present cost (NPC), but 99MW CHP in terms of carbon emission trading and renewable energy certificate And 5MW fuel cells, and 521kW of solar power to supply electricity and heat than the supply of electricity and heat by 99MW CHP cogeneration power, it was shown that it is economically up to 247.5 billion won. we confirmed the results of the improvement of the zone electricity business condition by introducing the fuel cell and the renewable energy hybrid system as the optimization process model.

Efficient Hybrid ARQ schemes for Wireless Communication Systems

  • Ryoo, Sun-Heui;Kim, Soo-Young
    • 제어로봇시스템학회:학술대회논문집
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    • 2004.08a
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    • pp.342-345
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    • 2004
  • An efficient hybrid ARQ scheme based on the rate compatible block turbo codes has been proposed, and its performance has been analyzed. System efficiency is improved by means of adaptive rate code transmission using channel information, trading off bit rate for channel codes, with resulting energy saving. The rate adaptation scheme improves power efficiency while keeping packet delay minimized. On the other hand, power dependant strategies reduce power consumption. Simulation results show that the benefits obtained are very encouraging. The modified hybrid ARQ schemes with the channel information and efficient retransmission structures highly improve the throughput performance in the satellite communication system. Therefore, proposed schemes could be used in future communication systems.

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A study building an integrated portal system for electric energy trading in the Korean wholesale electricity market (한국의 전력시장에서 전기에너지 전자상거래 통합포탈시스템 구축사례 연구)

  • Eom, Young-Meen;Jeon, Jong-Taek;Hwang, Bong-Hwan
    • Proceedings of the KIEE Conference
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    • 2009.07a
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    • pp.529_530
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    • 2009
  • 전통적인 굴뚝산업으로 대표되는 전력산업에서 경쟁과 효율에 입각한 시장경제 지향의 전력산업구조를 선택하게 되는 배경에는 디지털경제 시대의 도래에 따른 정보통신기술의 비약적인 발전과 인터넷을 이용한 e-Business가 전력거래 업무의 주된 흐름으로 정착되고, 효율적인 발전기술의 등장으로 전력산업에 경쟁적인 거래구조의 도입이 가능하기 때문이다. 본 연구에서는 전기에너지 전자상거래를 위한 통합된 포탈시스템(e-Marketplace)의 구축으로 전기에너지 전자상거래(e-Business)의 주요 기능에 부합되는 전력공급입찰, 전력시장가격 조회, 전력거래대금 청구 및 대금결제 서비스를 종합적으로 제공하는 전력거래 e-Marketplace를 구현할 수 있음을 제시하였으며, 전력거래 업무현장에 전기에너지 전자상거래(e-Business) 비즈니스 모델을 적용함으로써 e-비즈니스 전략에 맞는 인프라와 프로세스를 확보할 수 있고, e-비즈니스 추진결과에 따른 전력거래 고객만족도 향상, 비용절감 등 부가가치 증진 요소가 지속적으로 발견될 수 있음을 제시하였다.

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Problems of Decarbonization of the Economy of Kazakhstan

  • Yessekina, Bakhyt K.
    • The Journal of Asian Finance, Economics and Business
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    • v.2 no.3
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    • pp.37-39
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    • 2015
  • In this article we consider the modern trends of global warming, GHG pollutions and discussions of the obligations of developed and developing countries before the UN Global Climate Summit in Paris. The article considers decarbonization as a national strategy, including complex tools for the improvement of energy efficiency, reduction of CO2 and development of emissions trading systems. The author underlines that the Central Asian countries such as Kazakhstan and Turkmenistan, have the largest GHG potential in the region, and for this reason they should be within the framework of the UNFCCC and join the international process on development of the national decarbonization strategies.Thesemeasuresallowthese countries to join the global carbon trade marketing, international financial recourses, and significantly reduce CO2 pollutions in the region.

Locational Marginal Price Forecasting Using Artificial Neural Network (역전파 신경회로망 기반의 단기시장가격 예측)

  • Song Byoung Sun;Lee Jeong Kyu;Park Jong Bae;Shin Joong Rin
    • Proceedings of the KIEE Conference
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    • summer
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    • pp.698-700
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    • 2004
  • Electric power restructuring offers a major change to the vertically integrated utility monopoly. Deregulation has had a great impact on the electric power industry in various countries. Bidding competition is one of the main transaction approaches after deregulation. The energy trading levels between market participants is largely dependent on the short-term price forecasts. This paper presents the short-term System Marginal Price (SMP) forecasting implementation using backpropagation Neural Network in competitive electricity market. Demand and SMP that supplied from Korea Power Exchange (KPX) are used by a input data and then predict SMP. It needs to analysis the input data for accurate prediction.

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