• The Transactions of the Korean Institute of Electrical Engineers A
• /
• v.54 no.7
• /
• pp.366-374
• /
• 2005

The purpose of this study is to find out main factors affecting public enterprise's environment , which improves the performance of public enterprise. In detail, under the premises of keeping publicity in Korea Electricity Industry, the main target of this study is to seek after factors enhancing entrepreneurship and deals with publicity which is related with entrepreneurship. Questionnaires are distributed to the employee of public enterprise, public servants, and civil corps. A total of 553 copies are collected. The main contents of questionnaires are related with the effect of publicity and entrepreneurship by government control, competitive environment and shareholding structure in Korea Electricity Power Corporation(KEPCO). The results of this survey are as follows : First government control is negatively related to the entrepreneurship while it is positively related to the Publicity. Second, this suey shows that competitive environment has a Positive influence on promoting both publicity and entrepreneurship. Third this survey in connection with shareholding structure indicates that present structure in KEPCO has a positive effect on publicity but negative effect on entrepreneurship. According to this empirical results, it is verified that the main issues on the performance of KEPCO ue related with the level of government control and competitive environment in its industry.

• Proceedings of the KIEE Conference
• /
• 2006.07a
• /
• pp.337-338
• /
• 2006

The purpose of this study is to find out main factors affecting public enterprise's environment, which improves the performance of public enterprise. In detail, under the premises of keeping publicity in Korea Electricity Industry, the main target of this study is to seek after factors enhancing entrepreneurship and deals with publicity which is related with entrepreneurship. Questionnaires are distributed to the employee of public enterprise, public servants, and civil corps. A total of 553 copies are collected. The main contents of questionnaires are related with the effect of publicity and entrepreneurship by government control, competitive environment, and shareholding structure in Korea Electricity Power Corporation(KEPCO). The results of this survey are as follows : First, government control is negatively related to the entrepreneurship while it is positively related to the publicity. Second, this survey shows that competitive environment has a positive influence on promoting both publicity and entrepreneurship. Third, this survey in connection with shareholding structure indicates that present structure in KEPCO has a positive effect on publicity but negative effect on entrepreneurship. According to this empirical results, it is verified that the main issues on the performance of KEPCO are related with the level of government control and competitive environment in its industry.

• Environmental and Resource Economics Review
• /
• v.16 no.2
• /
• pp.313-336
• /
• 2007

The paper is concerned with, firstly, estimating the North Korean input-output table in which energy sectors like electricity and petro products are specified and, secondly, computing the effect of an investment in the energy sector on North Korean economy, by using the estimated input-output table and applying CGE analysis. The 4,000 million dollar investment on North Korean electricity industry produces 368 million dollar worth of output and 156 million dollar worth of value added. The 150 million dollar investment on petro industry creates about 20.5 million dollar worth of output and 9.65 million dollar worth of value added in North Korea.

• Proceedings of the KIEE Conference
• /
• 2001.11b
• /
• pp.421-423
• /
• 2001

Restructuring of electricity industry is going on for the purpose of introducing competition and after separation of generation and retail business and introduction of competition, substantial change is expected in overall electric power system. In other words, DSM projects are divided with public projects and private projects. Particularly for public project, it is essential to evaluate the DSM volumes by program. This paper tries to derive the ways for achieving the necessary DSM goal in the electricity industry in Korea. First of all, by analyzing the load in Korea, we forecast the standard demand and estimate the technological potentials of each program in considering DSM technological indicators. Moreover, by using economic analysis by program, we estimate economic potentials and finally, we estimate the potentials by program in considering the DSM policy. We estimate the potentials by using random method because application methodology and procedures by program are not established until now, which leads to not obtaining transparency for implementation effect by program. Therefore, this paper estimates the future potentials of DSM projects by using the logical and systematic analytic method and establishing database for DSM basic indicator. The DSM goals estimated by this method will be reflected to mid/long term nation-wide resource planning, which will mitigate anticipated power supply shortage and be applied to derive desirable energy demand/supply structure.

• Advances in Energy Research
• /
• v.7 no.2
• /
• pp.101-121
• /
• 2020

Coal has made a wonderful contribution to the production of cheap electricity. Coal based power plants have been the backbone of world's electricity for a long time now. Coal while being cheap and easily available is also a source of various solid, liquid and gaseous effluents which are responsible for the environmental degradation. Environmental issues caused by coal need to be studied and analyzed, then a common global consensus must be formed. Efficient action must be taken against each and every type of pollutant that is produced by this particular industry. The research aims to provide a brief overlook of the environmental impact of India's coal-based power plants. The aim of this study is to introduce a novel environmentally feasible energy scenario for the future of Indian power sector which has been named as "OPES". OPES is mathematically simulated using the combination of GAMS and LEAP. OPES is simple to comprehend and can be reproduced easily for other case studies as well. Results show that OPES can help the Indian power sector to minimize its environmental impact without causing any problems in the energy supply.

• Journal of the Korean Society of Industry Convergence
• /
• v.26 no.4_2
• /
• pp.715-724
• /
• 2023

Solar energy forecasting is essential for (1) power system planning, management, and operation, requiring accurate predictions. It is crucial for (2) ensuring a continuous and sustainable power supply to customers and (3) optimizing the operation and control of renewable energy systems and the electricity market. Recently, research has been focusing on developing solar energy forecasting models that can provide daily plans for power usage and production and be verified in the electricity market. In these prediction models, various data, including solar energy generation and climate data, are chosen to be utilized in the forecasting process. The most commonly used climate data (such as temperature, relative humidity, precipitation, solar radiation, and wind speed) significantly influence the fluctuations in solar energy generation based on weather conditions. Therefore, this paper proposes a hybrid forecasting model by combining the strengths of the Prophet model and the GRU model, which exhibits excellent predictive performance. The forecasting periods for solar energy generation are tested in short-term (2 days, 7 days) and medium-term (15 days, 30 days) scenarios. The experimental results demonstrate that the proposed approach outperforms the conventional Prophet model by more than twice in terms of Root Mean Square Error (RMSE) and surpasses the modified GRU model by more than 1.5 times, showcasing superior performance.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.12 no.20
• /
• pp.55-61
• /
• 1989

The main contribution this research is the development of methodology which is capable of solving problems associated with the capacity expansion and operating schedule of energy industries. The principal concern of such industries is the proper allocation of primary energy which are required for the production of sufficient supply of electricity and petroleum products for the Korea`s energy needs. Nonlinear programming models are developed for power generation expansion planning and for the oil refinery industry. In order to deal with uncertainties about future demands for final energy, chance-constrained programming is used to formulate appropriate constraints. The methodology of the model can be used to evaluate Korean energy and expansion planning in the energy industry, especially the electric power generation industry and the refinery industry.

• Journal of Korean Society of Rural Planning
• /
• v.20 no.1
• /
• pp.127-134
• /
• 2014

This study, in order to complement instability of analysis result stemming from the choice between reference point and comparison point which is pointed out as the defect of shift-share analysis, conducted shift-share analysis using Gross Regional Domestic Product (GRDP) trend of Geumgang area, Chungcheongnam-do for the period from 2000 to 2011. As a result of the analysis, (1) industries that had both the positive Regional Share Effect (RSE) and Industrial Mixed Effect (IME) were service industries such as manufacturing industry, electricity gas, transportation industry, art, etc., which are positively influencing the regional industry. (2) industries that had both the negative RSE and IME were other service industries such as wholesale and retail businesses, lodging industry, food industry, real estate business and leasing service, business service industry, public administration, etc., which provide basic livelihood services for the residents. (3) industries that had the positive RSE and negative IME were agriculture, forestry and fishery industry, mining industry, construction industry, and educational service industry. (4) industries that had the negative RSE and positive IME were info-communications industry, financial and insurance businesses, health industry, etc.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
• /
• v.26 no.2
• /
• pp.18-26
• /
• 2012

Though electricity consumption amount in industry has been increased gradually, corresponding power supply show symptoms of marginal point. Importance of demand-side management from large-industries has also been raised. This paper deals with induction motor, which is one of representative examples of heavy electricity consumption utilities, to analyze potential technical capability, economic feasibility from consumers' viewpoint and demand-side management feasibility from nation-wide perspective. Nation-wide economic feasibility analysis was done through California test, which has been used as demand-side management evaluation model. This paper also describes limitation of existing high efficiency induction motor in terms of contribution to demand-side management and utilizes premium motor to calculate demand-side management contribution level and economic feasibility evaluation. Likewise, this paper emphasizes the efficiency improvement of induction motor and analyzes how much premium motor related technologies can contribute to demand-side management.

• The Transactions of the Korean Institute of Electrical Engineers A
• /
• v.53 no.9
• /
• pp.487-493
• /
• 2004

The electric power industry throughout the world is undergoing considerable changes from the vertically integrated utility structure to the deregulated market. However, the deregulated electricity market is operated with respect to theory of economical efficiency, and therefore, the system operator requires data with fast contingency ranking for security of the bulk power system. This paper compares the weather dependant probabilistic risk index(PRI) with the system performance index for power flow in the IEEE-RTS. The system performance index for power flow presents the power system stability. This paper presents fast calculation method for determining contingency ranking using the weather dependant probabilistic risk index(PRI). The probabilistic risk index can be classified into the case of normal and adverse weather. This paper proposes calculation method using the probabilistic risk index in determining contingency ranking required for security under the deregulated electricity market.