• 한국경영과학회지
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• 제41권3호
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• pp.59-74
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• 2016

Electricity sales are directly measured from individual consumers, which could minimize the time gap between data collection and public announcement. Furthermore, industrial electricity sales are highly linked with production and output. Therefore, industrial electricity consumption can be used to track production and output in real time. By using the high-frequency data of industrial electricity sales, this study develops the daily electricity business index (DEBI) to capture the daily economic status. The steps used to formulate DEBI are as follows: (1)selection of the explanatory variables and period, (2) amendment of the seasonal adjustment to eliminate daily temperature and effective day effects, (3) estimation of the weighted value via variables by using PCA, (4) calculation of DEBI and commencement of validation tests. Our empirical analysis and the Hodrick-Prescott filter analysis show that DEBI is highly related to existing economic indices.

• 응용통계연구
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• 제27권3호
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• pp.419-430
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• 2014

전력수급의 정확한 예측은 국민들의 일상적 생활 유지, 산업활동, 그리고 국가경영을 위하여 매우 중요하다. 본 연구에서는 시계열모형화에 의해 전력판매량을 예측한다. 실제 자료분석을 통하여 입력시계열로서 냉난방도일과 개입변수로 펄스함수를 사용한 전이함수모형이 다른 시계열모형에 비해서 제곱근평균제곱오차 및 평균절대오차의 의미에서 더 우수하였다.

• 유통과학연구
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• 제14권3호
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• pp.63-71
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• 2016

Purpose - A variety of indicators are used for the diagnosis of economic situation. However, most indicators explain the past economic situation because of the time difference between the measurement and announcement. This study aims to argue for the resurrection of an idea: electricity demand can be used as an indicator of economic activity. In addition, this study made an endeavor to develop a new Real Business Index(RBI) which could quickly represent the real economic condition based on the sales statistics of industrial and public electricity. Research design, data, and methodology - In this study monthly sales of industrial and public electricity from 2000 to 2015 was investigated to analyze the relationship between the economic condition and the amount of electricity consumption and to develop a new Real Business Index. To formulate the Index, this study followed next three steps. First, we decided the explanatory variables, period, and collected data. Second, after calculating the monthly changes for each variable, standardization and estimating the weighted value were conducted. Third, the computation of RBI finalized the development of empirical model. The principal component analysis was used to evaluate the weighted contribution ratio among 3 sectors and 17 data. Hodrick-Prescott filter analysis was used to verify the robustness of out model. Results - The empirical results are as follows. First, compatibility of the predictability between the new RBI and the existing monthly cycle of coincident composite index was extremely high. Second, two indexes had a high correlation of 0.7156. In addition, Hodrick-Prescott filter analysis demonstrated that two indexed also had accompany relationship. Third, when the changes of two indexes were compared, they were found that the times when the highest and the lowest point happened were similar, which suggested that it is possible to use the new RBI index as a complementing indicator in a sense that the RBI can explain the economic condition almost in real time. Conclusion - A new economic index which can explain the economic condition needs to be developed well and rapidly in a sense that it is useful to determine accurately the current economic condition to establish economic policy and corporate strategy. The salse of electricity has a close relationship with economic conditions because electricity is utilized as a main resource of industrial production. Furthermore, the result of the sales of electricity can be gathered almost in real time. This study applied the econometrics model to the statistics of the sales of industrial and public electricity. In conclusion, the new RBI index was highly related with the existing monthly economic indexes. In addition, the comparison between the RBI index and other indexes demonstrated that the direction of the economic change and the times when the highest and lowest points had happened were almost the same. Therefore, this RBI index can become the supplementary indicator of the official indicators published by Korean Bank or the statistics Korea.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2001년도 추계학술대회 논문집 전력기술부문
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• pp.195-197
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• 2001

The Distribution Network costs are currently part of the total cost of KEPCO covered through aggregated final consumer tariffs. There is no unbundling of Power Sale and Distribution Network activities. This situation will change with the introduction of competition in supply. The Distribution Network Service Providers will have to provide access and set explicitly Distribution Service Charges in order to enable the Power Sales Businesses to convey electricity to their consumers using the Distribution Network for these purposes. The Distribution Service Charges will be made up of Distribution Connection Charge and Distribution Use of Network Charge. The Distribution Losses will be considered through Distribution Loss Factors and included in the electricity purchased by the Power Sales Businesses.

• 대한전기학회논문지:전력기술부문A
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• 제53권2호
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• pp.97-103
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• 2004

CHP system supplies electricity and heating together with high efficiency. Current utility's CHP system uses electric power by itself and sells thermal energy to KDHC(Korea District Heating Corporation). CHP's operation cost except sales revenue of heating was covered by the sale revenue of electricity. Thus Electric generation cost in district Heating CHP system has close relationship with the level of heating price. However, after the restructuring of electricity industry, the operation cost could not be covered by sales revenue of heating and electricity. This loss was compensated by energy subsidy program in the electric power industry infrastructure fund. This paper suggests reasonable evaluation and improvement methods of the loss calculation of CHP system utilizing the infrastructure fund efficiency In terms of the direction of support by the fund, it provides the methods to prevent inefficient operation through setting up the upper limit of subsidy and to improve the loss calculation. Moreover, it suggest fixed rate support by heating supply level and reducing subsidy gradually for an efficient operation of CHP system.

• 기술혁신학회지
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• 제19권3호
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• pp.417-438
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• 2016

표준화에 대한 투자와 연구개발에 대한 투자는 중소기업의 기업운영 방향성을 결정짓는 두 가지 주요한 전략이다. 동 연구는 중소기업의 표준화에 대한 투자가 기업의 매출 성과에 미치는 영향을 알아보고자 한다. 특히, 단순히 표준화 집중도를 살펴보는 것이 아니라 표준화에 대한 집중도와 연구개발에 대한 집중도를 함께 고려한 기업의 매출 성과에 미치는 영향을 분석하고자 한다. 2013년 한국표준협회에서 수행한 한국표준조사를 바탕으로 정보통신산업과 전기전자산업에 속하는 821개 기업을 대상으로 회귀분석을 수행하였다. 그 결과 중소기업의 연구개발 집중도 대비 표준화에 대한 투자는 그 기업의 매출 성과에 비선형관계(U자형)가 있음을 알 수 있었다. 본 연구결과는 중소기업의 경우 표준화에 대한 집중도 혹은 연구개발에 대한 집중도가 균형을 갖춘 접근보다는 하나에 집중하는 것이 매출성과에 도움 된다는 것을 시사한다.

• 신재생에너지
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• 제10권1호
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• pp.41-49
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• 2014

For a proper valuation of wind power project, it is necessary to consider volatilities of key parameters such as annual energy production, electricity sales price, and long term interest rate. Real option methodology allows to calculate option values of these parameters. Volatilities to be considered in wind project valuation are 1) annual energy production (AEP) estimation due to meteorological variation and estimation errors in wind speed distribution, 2) changes in system marginal price (SMP), and 3) interest rate fluctuation of project financing which provides refinancing option to be exercised during a loan tenor for commercial scale projects. Real option valuation turns out to be more than half of the sales value based on a case study for a FIT scheme wind project that was sold to a financial investor.

• 전기학회논문지
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• 제60권4호
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• pp.726-732
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• 2011

To establish the transmission system expansion plan based on reliability, valuation of outage cost become more important. In previous studies about outage cost estimation, macroscopic, microscopic and analytic methods are proposed but they have some limit. For instance, microscopic method involves a complex field survey process and macroscopic method can not estimate regional outage cost. So in this paper, a new method to estimate regional macroscopic outage cost using the reduction of value added due to power outages is proposed. This method uses regional add value according to production activities called Gross Regional Domestic Product(GRDP) and regional electricity sales.

• Korean Chemical Engineering Research
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• 제52권6호
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• pp.796-806
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• 2014

석탄가스화를 기반으로 한 발전(IGCC 발전) 및 화학원료 제조공정의 상업화 관건은 화석연료인 원유 또는 천연가스를 기반으로 생산되는 경우와 비교하여 경제성을 확보할 수 있는지 여부이다. 경제성 확보를 위한 가장 현실적인 방법으로는 석탄 가스화를 통해 얻어진 합성가스로부터 2개 이상의 생산물(예: 발전과 화학원료를 동시 생산)을 병산(coproduction 또는 poly-generation)하는 것이다. 본 연구에서는 석탄 가스화를 기반으로 하여 발전과 수송용, 발전용 및 가정용 연료로 사용이 가능한 DME(dimethyl ether)를 병산하는 공정에 대한 경제성 분석을 실시하였다. 경제성 분석을 위한 병산 공정에서는 250 MW 전력생산 연간 30만 톤의 DMZ 생산을 기준으로 하였다. 병산 공정에서 DME 판매가격이 50만원/ton인 경우, 전기 생산원가는 34.8~58.4원/kWh으로 SMP(계통한계가격) 가중평균인 150.69원/kwh(2013년 1월~12월까지의 평균값)의 33~58% 수준으로 산정되었다. 따라서, DME 판매가격이 적정하게 유지될 경우 석탄 IGCC+DME 병산공정은 IGCC 단독 발전과 비교하여 경제성을 확보할 수 있을 것으로 판단된다. 현재 중국에서 DME 판매가격이 900,000원/톤 내외이므로, 전력과 DME를 병산할 경우, IGCC 단독으로 전력을 생산할 경우와 비교하여 전력 생산 원가를 월등하게 낮출 수 있음을 알 수 있다. 이와 같이 석탄 가스화를 기반으로 한 병산 공정을 통해 전력과 DME를 병산하는 시스템에서, 시장 여건에 따라 전력과 DME 생산비율 제어가 가능하고, 석탄 가스화기 및 정제 시스템을 공통 설비로 활용함으로써, 개별적으로 생산하는 것보다 생산 원가를 낮출 수 있다는 결과를 얻었다.

• 자원ㆍ환경경제연구
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• 제9권2호
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• pp.349-371
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• 2000

Data Envelopment Analysis model is a linear programming based technique for measuring the relative performance of organizational units where the presence of multiple inputs and outputs makes comparison difficult. A common measure for relative efficiency is weighted sum of outputs divided by weighted sum of inputs. DEA model allows each unit to adopt a set of weight that shows it in the most favorable light in comparison to the other unit. In this paper, we present the mathematical background and characteristics of DEA model, and give a short case study where we apply the DEA model to evaluate the relative efficiencies of 51 global electricity companies. The technical efficiency and scale efficiency are also to be investigated. Generating capacity and the number of employees are used for input data, and revenue, net profit and electricity sales are used for output data. We find that the companies with 100% relative efficiency are only 9 among 51 electricity companies. And the technical and scale efficiency of KEPCO is 98.7% and 78.89%, respectively. This means that the inefficiency of KEPCO is caused by the scale inefficiency. The analysis shows that the employees should be decreased by 15% at minimum to get the 100% efficiency. The result suggests that KEPCO needs the structural reform to improve the efficiency.