• The Transactions of The Korean Institute of Electrical Engineers
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• v.66 no.8
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• pp.1172-1180
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• 2017

This study analyzed competition in peak load plants between CCGT and GT instead of competition between base and peak load plants like in previous studies. In common overseas power markets, CCGT and GT claim certain market shares as peak load plants with the latter boasting a high utilization rate as reserve plants. In South Korea, however, there has been no introduction of GT in the market that opened in 2001 with no analysis cases of GT's economy as a peak load plant. The current power market of South Korea is run on the cost-based pool, which allows for no price spikes. Since the capacity payment criteria for compensations for missing money are set based on GT generators, the power market uses GT generators as marginal plants. The purposes of this study were to analyze the competitive edge of GT generators as peak load plants in the domestic power market of South Korea and identify the causes of GT's failure in market entry, thus assessing the adequacy of market signals in the domestic power market.

• Plant Journal
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• v.7 no.4
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• pp.58-66
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• 2011

The power plant companies reached the culmination for growth in the domestic market. Besides, we have faced many challenges such as an electricity opening market trend for overseas, banning the use of coal due to the United nations framework convention on climate change, and the meticulous attention regarding the government's electricity charge plan. On the other hand, the overseas business has been a critical issue since China and many other developing countries expanded their projects abroad. Another factor is that power plant industry is being privatized, and it made the market regulation a bit loose. Thus, the market environment became favorable toward those companies which planned many overseas businesses. In this research, the power plant company's current condition for construction and operation as well as its technical competitiveness were analyzed, and an alternative plan using SWOT analysis for entering an oversea market was made. It dealt with both internal and external factors. Also, examined was the current situation under the power plant industry dealing with restructure for electric industry, lack of fossil fuel, and the United nations framework convention on climate change. From the research, it was suggested that many successful strategies to enter the overseas business by using the market trend I researched.

• Clean Technology
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• v.29 no.2
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• pp.145-150
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• 2023

Tele-metering systems have been useful tools for managing domestic wastewater treatment plants (WWTP) over the last decade. They mostly generate water quality data for discharged water to ensure that it complies with mandatory regulations and they may be able to produce every operation parameter and additional measurements in the near future. A sub-big data group, comprised of about 150,000 data points from four domestic WWTPs, was ready to be classified and also analyzed to optimize the WWTP process. We used the Statistical Product and Service Solutions (SPSS) 25 package in order to statistically treat the data with linear regression and correlation analysis. The major independent variables for analysis were water temperature, sludge recycle rate, electricity used, and water quality of the influent while the dependent variables representing the water quality of the effluent included the total nitrogen, which is the most emphasized index for discharged flow in plants. The water temperature and consumed electricity showed a strong correlation with the total nitrogen but the other indices' mutual correlations with other variables were found to be fuzzy due to the large errors involved. In addition, a multilayer perceptron analysis method was applied to TMS data along with root mean square error (RMSE) analysis. This study showed that the RMSE in the SS, T-N, and TOC predictions were in the range of 10% to 20%.

• Journal of Energy Engineering
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• v.28 no.2
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• pp.1-17
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• 2019

This article analyzes causal relationships among gross domestic product(GDP), electricity consumption, carbon dioxide($CO_2$) emission and foreign direct investments(FDI) inflow of Korea over the period from 1976 to 2014, using unit root test, cointegration test, and vector error correction model(VECM). As the results, this article found (1) a long-run bi-directional causality between GDP and electricity consumption, which may imply a negative impact of electricity consumption-saving policy on economic growth, (2) uni-directional short- and long-run causalities running from $CO_2$ emission to GDP, and a uni-directional long-run causality running from $CO_2$ emission to electricity consumption, which can result in a negative impact of $CO_2$ emission reduction policy on economic growth and electricity consumption, (3) a uni-directional long-run causality running from FDI to GDP, and uni-directional short- and long-run causalities running from FDI to electricity consumption, which may result from relatively lower electricity prices than investing countries, (4) no causality between FDI and $CO_2$ emission, which is based on the characteristics of FDI composed of service industries. Considering the above causal relationships among the four variables, the policy implication needs to focus on the electricity demand management based on the relevant R&Ds, and on the gradual transition from fossil fuel- to renewable-energy. Adaptive policy to increase the FDI inflow is also needed.

• Environmental and Resource Economics Review
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• v.24 no.4
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• pp.629-655
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• 2015

Nuclear power generation is a major power source which accounts for more than 30% of domestic electricity generation. Electricity market needs to secure stability of base load. This study aimed at analyzing relationships between nuclear power generation and wholesale electricity price (SMP: System Marginal Price) in Korea. For this we conducted ARDL(Autoregressive Distributed Lag) approach and Granger causality test. We found that in terms of total effects nuclear power supply had a positive relationship with SMP while nuclear capacity had a negative relationship with SMP. There is a unidirectional Granger causality from nuclear power supply to SMP while the reverse was not. Nuclear power is closely related to SMP and provides useful information for decision making.

• Journal of the Korea Safety Management & Science
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• v.11 no.2
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• pp.197-203
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• 2009

The purposes of this research are investigating the domestic and foreign situations and presenting methods to be able to raise the competitiveness of the power IT industry. For the analysis of domestic situations, 70 companies related with power IT were surveyed. Thus, the problems the power IT industry is now facing are summarized and solutions for them are also suggested. If these solutions are practiced, the power industry could provide higher quality electricity and belong to the prior group of global power society.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.59 no.10
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• pp.1792-1796
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• 2010

In this paper, the survey results of the interruption on domestic residential customer with primary focus on the cost are presented. General method utilized in quantifying the benefit of reliability on power system is to estimate the Customer Interruption Cost(CIC) associated with the electric service interruption. According to change the circumstance of electricity market by the deregulation and the introduction of new technology, reliable and accurate CIC is required for estimate the applied plan and technology under the circumstance. This paper presents the residential customer interruption cost is estimated by the survey conducted by KEPCO in 2009. To collect the customer interruption data for calculation of CIC, the survey is conducted. The survey targeting residential customer around the branch-offices under twelve regional headquarters of KEPCO was carried out.

• Journal of Energy Engineering
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• v.14 no.2 s.42
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• pp.82-97
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• 2005

RPS (Renewable Portfolio Standards) is a policy tool to disseminate renewable energies through market mechanism. RPS promotes renewable power generation by obligating electricity market participants to deliver the required amount of electricity from renewable energies. To promote and encourage renewable energies, Korean government is considering to introduce RPS to domestic market in the near future. The purpose of this paper is to analyze the definition and market mechanism of RPS and to review key considerations in its design. In conclusion, we recommend some prerequisite in its introduction to Korea.

• Journal of Korea Society of Industrial Information Systems
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• v.18 no.3
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• pp.35-46
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• 2013

In order to develop an accurate analytical model for domestic electricity demand forecasting, we propose a prediction method of the electric power demand pattern by combining SMO classification techniques and a dimension reduction conceptualized subspace clustering techniques suitable for high-dimensional data cluster analysis. In terms of electricity demand pattern prediction, hourly electricity load patterns and the demographic and geographic characteristics can be analyzed by integrating the wireless load monitoring data as well as sub-regional unit of census information. There are composed of a total of 18 characteristics clusters in the prediction result for the sub-regional demand pattern by using census information and power load of Seoul metropolitan area. The power demand pattern prediction accuracy was approximately 85%.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.4
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• pp.613-624
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• 2021

This paper analyzes the relationship between income distribution and energy consumption from a Pareto optimal approach. For this purpose, the causality relationship between electricity consumption per capita (kWh) with respect to country groups and energy consumption per capita (kg of oil equivalent) along with gross domestic product per capita was analyzed. In addition to this purpose, a Pareto analysis was conducted to determine the countries with the highest per capita national income, how much of the world total energy they consume, and whether the law of power in the energy and electricity markets exists. Finally, the impact of official development assistance provided to low-income countries by high-income countries on the low-income countries' electricity and energy consumption was analyzed. In other words, it was questioned whether pareto redistribution policies serve the purpose or not. The Engle-Granger causality approach was used in the analysis of the causality relationship between variables. Our analysis indicated that, first, the energy data of the country groups may be inadequate in revealing income inequalities. Second, the existence of Pareto law of power and global income inequality can be explained based on energy data. Finally, Pareto optimal redistribution policies to eliminate income inequality remain inadequate in practice.