• 전기학회논문지
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• 제61권6호
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• pp.804-809
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• 2012

This paper presents the economic impact of consumer participation in Real-Time Pricing (RTP). A computer model was developed to analyze the impact of real-time pricing on the average price, electricity sales, and the social welfare. Four revenue reconciliation alternative were introduced to illustrate the effect of RTP. Finally a case study was done to analyze the consequent impact of the dynamic load profile on the long-term fuel mix, and the results were compared with those of $5^{th}$ national power development plan.

• 전력전자학회:학술대회논문집
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• 전력전자학회 2012년도 전력전자학술대회 논문집
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• pp.554-555
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• 2012

The failures in the power plant can lead to a dangerous situation according to the demand and supply of the electric power. The failure times of the domestic plant happens very often, and it has been reported as a significant loss by the power sales. Therefore, the power plant is demanded to maintain very well in order to produce a high quality of power. The rate of failures by the electricity facility is filled with 40[%] among the trouble in the failures of the power plant. The failures of power plant can cause serious accidents, magnificent losses, and chaos in our society. So, we require a significant plan to reduce such a serious problem. In this paper, I analysis the failure case of power converter in power plant, and I offer the better solution to be able to prevent the failures from power plant.

• 농촌계획
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• 제19권3호
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• pp.25-36
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• 2013

This study aims to perform the economic analysis to the use of solar power facilities in rural villages considering the climate change scenario. IPCC climate change scenarios in the recently adopted the RCP scenarios (RCP8.5, RCP6.5, RCP4.5, RCP2.6) was used. By RCP scenarios, solar radiation, depending on the scenario in 2100, respectively, 3.6%, 2.5%, 1.9%, 1.1% was assumed to increase. From the economic analysis(payback period is 25 year) on 8 points of each province, in all cases of normal data and four RCP scenarios, at all points analyzed were NPV indicate a negative, BC ratio less than 1.0, respectively. In the case of Mokpo, Chunnam RCP8.5, BC ratio were found to be up to a 0.92, followed by 0.89 in the case of RCP8.5 in Jinju, Kyungnam shows, while the minimum was in Jeju. BC ratio is 1.0 or bigger, in order for the normal solar radiation data in Mokpo, Chonnam was the minimum that it takes 37 years. Similarly, in the case of RCP scenarios, 30 years in Mokpo, Chonnam RCP8.5 and 31 years in the cases of Jinju, Kyungnam and Jeonju, Cheonbuk RCP8.5 were analyzed. It was analyzed that RCP8.5 has the highest value. BC analysis models for each of the factors, the results of the sensitivity analysis, the initial installation costs, electricity sales price, discount rate in the order of economy showed higher sensitivity, and the rest factors showed lower changes. Although there are some differences of solar radiation by region, but in Korea most facilities in rural areas, the use of solar power was considered to be economical enough, considering change of several factors with high sensitivity, such as increasing of government subsidies for the solar power installation of the facility, rising oil prices due to a rise in electricity sales price, and a change in discount rate. In particular, when considering climate change scenarios, the use of solar energy for rural areas of the judgment that there was more economical.

• 토지주택연구
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• 제12권3호
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• pp.79-85
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• 2021

본 연구에서는 에너지 사용량의 차이를 알아보기 위해 부산시에서 준공된 임대 및 분양아파트의 에너지 사용량을 특정기간동안 분석하였다. 그 결과, 전기 사용량 중 냉방에 소비되는 에너지는 임대아파트는 2.5kWh/m²·yr, 분양아파트는 2.3kWh/m²·yr으로 약 0.2kWh/m²·yr의 차이가 있는 것으로 검토되었다. 전기 사용량 중 난방에 소비되는 평균 에너지는 임대아파트가 3.3kWh/m²·yr, 분양아파트가 2.2kWh/m²·yr으로 약 1.1kWh/m²·yr의 차이를 보였다. 전기장판, 히터 등 전기에너지를 사용하는 임대아파트의 난방 에너지량은 분양아파트보다 많은 것으로 추정된다. 또한, 가스에너지 사용량 중 난방 에너지 사용량은 임대아파트는 7.0kWh/m²·yr, 분양아파트는 6.8kWh/m²·yr로 가스를 이용한 난방에 사용하는 에너지 사용량이 임대아파트보다 적은 것으로 나타났다. 난방에 사용되는 전기 및 가스에너지를 합산하면 분양아파트는 난방에 사용하는 에너지는 9.0kWh/m²·yr, 임대아파트는 10.3kWh/m²·yr으로 추정된다. 난방기간동안 임대아파트는 분양아파트보다 1.3kWh/m²·yr 더 많은 에너지를 사용하는 것으로 확인되었다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권4호
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• pp.1123-1146
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• 2023

In South Korea, there have been many studies on efficient building-energy management using renewable energy facilities in single zero-energy houses or buildings. However, such management was limited due to spatial and economic problems. To realize a smart zero-energy city, studying efficient energy integration for the entire city, not just for a single house or building, is necessary. Therefore, this study was conducted in the eco-friendly energy town of Chungbuk Innovation City. Chungbuk successfully realized energy independence by converging new and renewable energy facilities for the first time in South Korea. This study analyzes energy data collected from public buildings in that town every minute for a year. We propose a smart city building-energy management model based on the results that combine various renewable energy sources with grid power. Supervised learning can determine when it is best to sell surplus electricity, or unsupervised learning can be used if there is a particular pattern or rule for energy use. However, it is more appropriate to use reinforcement learning to maximize rewards in an environment with numerous variables that change every moment. Therefore, we propose a power distribution algorithm based on reinforcement learning that considers the sales of Energy Storage System power from surplus renewable energy. Finally, we confirm through economic analysis that a 10% saving is possible from this efficiency.

• 전기학회논문지
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• 제56권6호
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• pp.1017-1022
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• 2007

In this paper, we try to analyze the likelihood of exercising the power of market dominance by certain generators in future power industry of Korea. Firstly, we estimated installed generation capacity and sales volume of electricity in Korea, based on 'The 3rd Long Term Power Plan' which was announced in December 2006. Secondly, we calculated HHI, an index showing the degree of concentration of an industry, and RSI, an index showing how adequate the supply of goods or services of an industry is, using Fast-Forward. Thirdly, assuming a major generator employs the strategy of withholding a part of its available capacity at a peak time, we simulated hypothetical movement of SMP over a certain period of time, which is compared with that obtained without assuming such strategy to generate Lerner Index. an index showing the degree of market power of a monopoly. Regulators, home and abroad, have not given much interest in analyzing the effect of market dominance that is likely to be exercised by certain players in the future. That said, this paper provides insight into developing methodologies of analyzing and mitigating such effect by proposing the above indices to gauge it. In addition, this paper also shows the potential impact of employing capacity withholding strategy on the financial account of a dominant generator.

• 자원ㆍ환경경제연구
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• 제16권4호
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• pp.763-779
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• 2007

최근 고유가와 교토의정서의 발효에 따라 에너지 이용효율성 제고와 온실가스 배출삭감의 필요성이 증대되고 있는 상황에서 소형열병합 발전이 주목받고 있다. 본 연구는 열병합발전의 판매전력가격의 변동성으로 인해 미래수익이 불확실할 경우를 상정하여, 비가역적 성격의 열병합발전 설비투자에 대한 경제성 평가 모형을 제시한다. 이를 위해 실물옵션 기법을 이용하였다. 전력가격의 평균회귀성을 실증적으로 반영한 시설규모별 발전설비에 대한 모의실험 결과, 40Gcal 용량 이상의 발전설비에 대해 경제성이 보장되는 것으로 나왔다. 열병합발전의 경제성은 투자비용과 열수요 판매가격, 할인율에 영향을 받는 것으로 나타났다.

• 신재생에너지
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• 제7권1호
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• pp.29-35
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• 2011

The waste treatment fee and energy production effect of Wonju city RDF plant, the first RDF manufacturing plant in Korea, were investigated in the study. All plant operation data, like total weight of received wastes, produced RDF and separated rejects in processes were fully recorded for mass balance calculation of the plant in 2009. Also all consumed oil and electricity were recorded for energy balance calculation. The results showed that the waste treatment fee not including the RDF sales price of 25,000 won/ton-RDF was 116,573 won/ton-MSW and it went down to 105,298 won when included the RDF price. Produced RDF was 40.2% of total received waste in weight. Three components analysis by mass balance calculation of total received waste showed that Wonju city's MSW was 32.4% of combustible, 37.5% of water and 30.1% of incombustible respectively. Energy effect was found that total amount of produced energy was about 4 times more than that of consumed energy.

• Journal of Electrical Engineering and Technology
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• 제5권4호
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• pp.530-537
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• 2010

By development of renewable energy and more efficient facilities in an increasingly deregulated electricity market, the operation cost of distributed generation (DG) is becoming more competitive. International environmental regulations of the leaking carbon become effective to reinforce global efforts for a low-carbon paradigm. Through increased DG, operators of DG are able to supply electric power to customers who are connected directly to DG as well as loads that are connected to entire network. In this situation, a community energy system (CES) with DGs is a new participant in the energy market. DG's purchase price from the market is different from the DG's sales price to the market due to transmission service charges and other costs. Therefore, CES who owns DGs has to control the produced electric power per hourly period in order to maximize profit. Considering the international environment regulations, CE will be an important element to decide the marginal cost of generators as well as the classified fuel unit cost and unit's efficiency. This paper introduces the optimal operation of CES's DG connected to the distribution network considering CE. The purpose of optimization is to maximize the profit of CES. A Particle Swarm Optimization (PSO) will be used to solve this complicated problem. The optimal operation of DG represented in this paper would guide CES and system operators in determining the decision making criteria.

• 전기학회논문지
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• 제65권2호
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• pp.264-268
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• 2016

Recently, various energy efficiency optimization activities are ongoing globally by integrating conventional grids with ICT (Information and Communication Technology). In this sense, various smart grid projects, which power suppliers and consumers exchange useful informations bilaterally in real time, have been being carried out. The electric vehicle diffusion program is one of the projects and it has been spotlighted because it could resolve green gas problem, fuel economy and tightening environmental regulations. In this paper, the economics of V2G system which consists of electric vehicles and the charging infrastructure is evaluated comparing electric vehicles for V2G with common electric vehicles. Additional benefits of V2G are analyzed in the viewpoint of load leveling, frequency regulation and operation reserve. To find this benefit, electricity sales is modeled mathematically considering depth of discharge, maximum capacity reduction, etc. Benefit and cost analysis methods with the modeling are proposed to decide whether the introduction of V2G systems. Additionally, the methods will contribute to derive the future production and the unit cost of electric vehicle and battery and to get the technical and economic analysis.