• Proceedings of the KIEE Conference
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• 2003.07a
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• pp.351-353
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• 2003

본 논문에서는 UPFC가 포함된 전력계통의 부하수준을 고려하여 각각의 수준에 적합한 계통 운용 목적을 달성하기 위한 UPFC 운전법을 제안하였다. 최적조류계산에 적용이 용이한 분리형 UPFC 수리 모형을 채택하여 부하수준이 낮은 경부하나 평균부하에서는 경제 우선으로 발전비용과 손실을 최소화하였고, 사고시 과부하, 모선 저전압 문제 둥이 발생할 가능성이 높은 중부하에서는 안전도 우선으로 안전도 지수를 최소화하였다. 본 논문에서 제안한 방법을 UPFC 3기가 설치된 6기 30모선 계통에 적용하여 경부하에서는 발전비용과 손실 최소화를 통하여 비용절감 효과를 정량적으로 나타내었다. 평균부하의 경우, 사고전에는 비용최소화를, 사고후에는 안전도지수를 최소화하였다. 중부하에서는 사고에 대비하여 UPFC 운전으로 안전도지수를 최소화하였다.

• Environmental and Resource Economics Review
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• v.20 no.3
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• pp.531-565
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• 2011

All previous studies analyzing multivariate time series data of EUA (European Union Allowance) price commonly used endogenous variables within the four variables and included the period from April to June of 2006 in the analysis, when the price distortion occurred. This study uses graph theory and structural vector error correction model (SVECM) to analyze the daily time series data of the EUA (European Union Allowance) price. As endogenous variables, five variables are considered for the analysis, including prices of crude oil, natural gas, electricity and coal in addition to carbon price. Data period is Phase 2 period (April 21, 2008 to March 31, 2010) to avoid the EUA price distortion of Phase 1 period (2005~2007). Further, the monthly data including the economic variables as endogenous variables are analyzed.

• Environmental and Resource Economics Review
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• v.27 no.1
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• pp.29-66
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• 2018

This study constructs an energy-extended KLEM DB of 35 Korean industries, and estimates the elasticities of substitution under various nesting structures of production technologies. Unlike most existing studies that employed only three inputs, K, L, and E, we applied a dual approach where non-energy intermediate input M is also incorporated as a production input. Our dual approach which extended that of van der Werf (2008)'s 3-input model successfully identified and estimated the multi-nested production functions. We provide the estimates of the elasticities of substitution among 4 different energy sources as well. Our estimation results would be used for energy-environment model building for Korea.

• Clean Technology
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• v.16 no.3
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• pp.229-237
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• 2010

The industrial ecology indicators(IEI) for Yeosu Industrial Park were developed using eco-efficiency indicator(EEI). The key factors for the creation of IEI were two parts. One part is the value of the products which is selected as the total production value, the amount of ethylene production, the amount of light oil production instead of the total sales volume for Yeosu Industrial Park, since the currency exchange and the price of raw materials varied every year. The other part is the environmental burden. The electric consumption, the industrial water consumption, and the amount of discharged waste water are all officially opened to the public, were used in the calculation. Based on the value for the year of 2004, the IEI value for 2006 became worse to 0.954, but, was expected to be 1.153, a 15% improvement, for 2015 if the current EIP project is successfully performed.

• International Area Studies Review
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• v.13 no.3
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• pp.781-799
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• 2009

Korea and China should come up with a mutually beneficial FTA proposal at an early date and thus lead the way towards the FTA. An FTA with China is a key issue of economic cooperation in order to confront soaring Chinese competitiveness in international markets. The purpose of this research paper is to analyze the overall Busan regional economy impacts of the Korea-China FTA. We analyzed the quantitative effects of an FTA by using microeconomic concept. The Korea-China FTA will have positive effects on the overall industry in Busan. Therefore, Busan regional industries exports and imports are expected to grow. Busan is worried the deal would pave the way for imports of cheap Chinese agricultural products, hurting the nation's already fragile agricultural sector. In contrast, Busan's manufacturing sector is expected to see its surplus rise. In sum, we think the FTA will bring benefit to the whole industry in Busan Regional economy because it accelerates development of the industries by trade and investment along with comparative advantage.

• Environmental and Resource Economics Review
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• v.23 no.2
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• pp.305-330
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• 2014

There has been a lot of studies to identify the driving forces of energy consumption. Many of them decomposed the final energy consumption into the intensity effect, structural effect, and production effect. Those approach, however, could not consider the transformation loss during the electric power generation. Therefore, in this study, we conducted a decomposition analysis on the primary energy use basis to reflect that transformation loss. Log mean Divisia index and refined Laspeyres methods were used for the index decomposition. As results, we could find out that the difference between two approaches were definite. The intensity effect in 2011 is -0.607 times against 1981 in the final energy case, but -0.236 times in the primary energy case. The structure effect in 2011 is 0.227 times against 1981 in the final energy case, but 0.434 times in the primary energy case. Therefore, an analysis on the primary energy basis is essential when conducting a decomposition analysis.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.352-352
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• 2021

가뭄은 강수량의 부족으로 인한 기상학적 가뭄과 지표수 및 지하수의 부족으로 인한 수문학적 가뭄, 토양의 건조 상태로 인한 농업적 가뭄, 용수 및 전력공급의 제한으로 인한 사회·경제적 가뭄으로 분류될 수 있으며, 일반적으로는 어느 지역의 인간생활 및 사회 경제 활동이나 동식물 생육에 피해를 가져올 정도로 강수량 부족이 장기화되는 비정상적인 현상으로 정의할 수 있다. 메가가뭄의 선제적인 대비를 위한 메가가뭄의 사전감지를 위해 본 연구에서는 매년 가뭄 발생 및 확산 여부 판단을 통해 메가가뭄 예방/대비 목적의 년 단위 가뭄 전주기 분석을 위한 메가가뭄상태 판단 절차 방법론을 제시하였다. 메가가뭄 상태 판단 절차 방법론은 메가가뭄 확산 유무에 따라 6단계의 절차로 진행된다. 1단계로 전년도의 가뭄상태(Carry over의 유무)와 가뭄피해 실적자료(통합가뭄위험도 활용 )를 분석하여 확산여부를 판단하며, 2단계로 당해연도에 가뭄이 발생할 것인지를 장기예보와 더불어 MODIS 위성자료를 이용한 평년대비 토양건조상태로 감지한다. 3단계로 1개월 및 10일 예보자료를 이용해 기상학적 가뭄의 발생 여부를 가뭄지수로 판단하고, 4단계로 기상학적 가뭄 하에서 농업 및 수문학적 가뭄의 진행여부를 저수율, 지하수위, 현장대응 정보의 신속한 수집을 통해 확산여부를 판단한다. 5단계는 가뭄 관련 인터넷 뉴스데이터기반의 농작물 피해, 식수제한, 녹조발생 등의 피해상황을 통해 가뭄 피해발생지역을 도출하여 확산여부를 판단하며, 6단계는 기상, 농업, 수문, 사회 경제적 가뭄을 평가함과 더불어 다음년도 가뭄확산에 대비하는 순으로 메가가뭄 상태 판단 절차 방법론이 진행된다.

• Journal of the Korean Institute of Intelligent Systems
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• v.9 no.4
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• pp.420-425
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• 1999

The maximum demand controller is an electrical equipment installed at the consumer side of power system for monitoring the electrical energy consumed during every integrating period and preventing the target maximum demand (MD) being exceeded by disconnecting sheddable loads. By avoiding the peak loads and spreading the energy requirement the controller contributes to maximizing the utility factor of the generator systems. It results in not only saving the energy but also reducing the budget for constructing the natural base facilities by keeping thc number of generating plants ~ninimumT. he conventional MD controllers often bring about the large number of control actions during the every inteyating period and/or undesirable loaddisconnecting operations during the beginning stage of the integrating period. These make the users aviod the MD controllers. In this paper. fuzzy control technique is used to get around the disadvantages of the conventional MD control system. The proposed MD controller consists of the predictor module and the fuzzy MD control module. The proposed forecasting method uses the SOFM neural network model, differently from time series analysis, and thus it has inherent advantages of neural network such as parallel processing, generalization and robustness. The MD fuzzy controller determines the sensitivity of control action based on the time closed to the end of the integrating period and the urgency of the load interrupting action along the predicted demand reaching the target. The experimental results show that the proposed method has more accurate forecastinglcontrol performance than the previous methods.

• Environmental and Resource Economics Review
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• v.14 no.1
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• pp.167-199
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• 2005

The following policy implications can be drawn from this study: 1) The Air Pollution Emission Amount Report published by the Ministry of Environment since 1991 classifies industries into 4 sectors, i. e., heating, manufacturing, transportation and power generation. Currently, the usability of report is very low and extra efforts should be given to refine the current statistics and to improve the industrial classification. 2) Big pollution industries are as follows - s7, s17 and s20. The current air pollution control policy for these sectors compared to other sectors are found to be inefficient. This finding should be noted in the implementation of future air pollution policy. 3) s10 and s17 are found to be a big polluting industrial sector and its pollution reduction effect is also significant. 4) The effect of emission coefficient (${\Delta}f$) has the biggest impact on the reduction of emission amount change and the effect of economic growth coefficient (${\Delta}y$) has the biggest impact on the increase of emission volume. The effect of production technology factor (${\Delta}D$) and the effect of the change of the final demand structure (${\Delta}u$) are insignificant in terms of the change of emission volume. 5) Further studies on emission estimation techniques on each industry sector and the economic analysis are required to promote effective enforcement of the total volume control system of air pollutants, the differential management of pollution causing industrial sectors and the integration of environment and economy. 6) Korea's economic growth in 1990 is not pollution-driven in terms of the Barry Commoner's hypothesis, even though the overall industrial structure and the demand structure are not environmentally friendly. It indicates that environmental policies for the improvement of air quality depend mainly on the government initiatives and systematic national level consideration of industrial structures and the development of green technologies are not fully incorporated.

• Proceedings of the Korea Water Resources Association Conference
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• 2016.05a
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• pp.185-185
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• 2016

일반적인 송 배수시스템의 운영은 지대가 높은 곳에 위치한 배수지(tank)에 용수를 저장한 후, 자연유하에 의해 수요절점으로 용수를 공급한다. 이때 배수지에 용수를 송수하기 위한 펌프장 운영에서 많은 전기에너지가 소모된다. 일반적으로 송수펌프의 운영은 다년간의 운영자료를 기반으로 운영자의 판단에 의해 이루어지거나, SCADA(Supervisory Control and Data Acquisition)시스템을 통해 관측되는 배수지 수위를 기준으로 펌프 작동여부를 결정하고 있다. 본 연구에서는 이러한 기존 펌프운영방법을 개선하고 좀 더 효율적인 운영방법을 모색하기 위해 실시간 송수펌프 최적운영 모형을 개발하였다. 최적화 기법으로는 유전자 알고리즘(genetic algorithm)을 사용하였으며, 다양한 제약조건(operational constraints)을 적용하고 급수지역의 24시간 용수사용량을 미리 예측하여 실제 시스템의 운영형태와 근접하게 반영하였다. 또한 최적화 과정에서 상수관망해석 프로그램(EPANET)을 연계하여 수요절점의 수압조건 및 시스템의 운영상황을 모의하였다. 개발된 모형을 국내 P시의 광역상수도 시스템에 실제 적용하였으며, 현장 실시간 운영 데이터를 입수하여 전력사용량, 배수지수위, 이산화탄소 발생량 등을 비교, 분석하였다. 개발 모형을 이용하여 펌프운영을 실시하였을 경우, 기존의 운영방식과 비교하여 경제적/환경적으로 뚜렷한 개선 효과를 확인할 수 있었다.