• New & Renewable Energy
• /
• v.10 no.1
• /
• pp.41-49
• /
• 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.

• Journal of the Korean Institute of Gas
• /
• v.23 no.2
• /
• pp.74-81
• /
• 2019

Expansion turbine system to recover the electricity energy from natural gas transmission stations is a well-known technique. The turbo-expander efficiency depends on the ratio of the natural gas flow rates to the design flow rate of the turbo-expander. However, if there is a big difference of the natural gas flow rate through the pressure letdown station because of seasonal supply pattern, that is, high flow rate in winter while low flow rate in summer, single turbo-expander system is not so efficient as to recover the pressurized energy from the low flow-rate natural gas. Therefore, we have proposed a new concept of double turbo-expander system: one is a big capacity and the other a small capacity. Here we have theoretically computed the electric powers at the pressure reduction from 18.5 bar to 7.5 bar depending on the inlet conditions of temperature and flow rate. The calculated electricity generation has been increased by 30% from 12.4 MW in a single turbo expander to 16.1 MW in the proposed double turbo-expander system when a minimal design efficiency of 0.72 is applied.

• JOURNAL OF ELECTRICAL WORLD
• /
• no.10 s.154
• /
• pp.16-22
• /
• 1989

• Journal of Korean Society for Quality Management
• /
• v.49 no.3
• /
• pp.327-340
• /
• 2021

Purpose: The purpose of this study is to propose a system predicting whether an electricity distribution system is abnormal by analyzing the temperature of the deteriorated system. Traditional electricity distribution system abnormality diagnosis was mainly limited to post-inspection. This research presents a remote monitoring system for detecting thermal images of the deteriorated electricity distribution system efficiently hereby providing safe and efficient abnormal diagnosis to electricians. Methods: In this study, an object detection algorithm (YOLOv5) is performed using 16,866 thermal images of electricity distribution systems provided by KEPCO(Korea Electric Power Corporation). Abnormality/Normality of the extracted system images from the algorithm are classified via the limit temperature. Each classification model, Random Forest, Support Vector Machine, XGBOOST is performed to explore 463,053 temperature datasets. The process capability index is employed to indicate the quality of the electricity distribution system. Results: This research performs case study with transformers representing the electricity distribution systems. The case study shows the following states: accuracy 100%, precision 100%, recall 100%, F1-score 100%. Also the case study shows the process capability index of the transformers with the following states: steady state 99.47%, caution state 0.16%, and risk state 0.37%. Conclusion: The sum of caution and risk state is 0.53%, which is higher than the actual failure rate. Also most transformer abnormalities can be detected through this monitoring system.

• ETRI Journal
• /
• v.35 no.4
• /
• pp.677-686
• /
• 2013

In this paper, we first introduce a general architecture of an energy management system in a home area network based on a smart grid. Then, we propose an efficient scheduling method for home power usage. The home gateway (HG) receives the demand response (DR) information indicating the real-time electricity price, which is transferred to an energy management controller (EMC). Referring to the DR, the EMC achieves an optimal power scheduling scheme, which is delivered to each electric appliance by the HG. Accordingly, all appliances in the home operate automatically in the most cost-effective way possible. In our research, to avoid the high peak-to-average ratio (PAR) of power, we combine the real-time pricing model with the inclining block rate model. By adopting this combined pricing model, our proposed power scheduling method effectively reduces both the electricity cost and the PAR, ultimately strengthening the stability of the entire electricity system.

• The Journal of Korean Society for School & Community Health Education
• /
• v.17 no.2
• /
• pp.31-44
• /
• 2016

Objectives: This study was aimed at finding out the current smoking situation of workers in the field of railroad electricity and vehicles and changes of their smoking behaviors after the raise of price of tobacco in 2015. Methods: With a self-administered questionnaire conducted from February 9 to March 6 2015, one-way ANOVA and crosstabs(PASW Statistics Ver. 18.0) were conducted on the data of 626 people. Results: As the result, the smoking rate was 39.1% and 90.5% of the smoking experienced group showed some changes including cutting down on smoking due to raise of price of tobacco. Factors related to smoking included stress, the number of times of drinking, awareness of harmfulness of smoking, the number of days with hard exercise per week and the marital status. Conclusion: Therefore, it is assumed that there is necessity of top-down intervention using these factors to cut down the smoking rate.

• Proceedings of the KIPE Conference
• /
• 2004.07b
• /
• pp.910-913
• /
• 2004

This paper is about to develop a system to monitor speed droop rate characteristic of turbine governor for electric power plant. High quality electricity can be obtained, and so electricity supplier get more profit through it. Developed system presents basis of judgement of unusual system and proper maintenance time for the governor and power plant.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
• /
• v.13 no.2
• /
• pp.159-168
• /
• 2020

Current residential electricity rates, which are charged regardless of consumption patterns, have a problem of restricting consumer choice. In order to improve the problem, the Korea government started a demonstration project based on Time-Of-Use(TOU) pricing from September 2019. However, the analysis of its effect is still limited. This study analyzed the changes and limitations of TOU pricing compared to the current progressive pricing. The result showed that the high rate payer's bill decreased by up to 33.8 % while the low rate payer's bill increased by up to 117.7 %. This can lead to the problem of accepting electricity rates from a social point of view. In this study, TOU pricing based on progressive pricing was proposed to overcome the problem. The results presented the rate changes depending on the power consumption patterns while decreasing the average rate change from 32 % to -1.9 %. It means that the proposed pricing can support the TOU effect while maintaining the framework of the existing progressive pricing.

• Journal of Institute of Control, Robotics and Systems
• /
• v.7 no.1
• /
• pp.1211-1217
• /
• 2001

This paper presnts a controller for the heat capacity of thermal storage systems using off-peak electricity which is composed of an identifier using neural networks and a storage time adjuster in order to store exactly the required thermal energy without loss. Since thermal storage systems have nonlinear characteristics and large time constant, even if we predict the heating load accurately, it is very difficult to store exactly the required thermal energy. Thus, in the neural network for the identifier, the adaptive learning rate for high learning speed and bit inputs based on state changes of thermal storage power source are used. Also a hardware for the controller using a microprocessor is developed. The performance of the proposed controller is shown by experiment.

• Proceedings of the KIEE Conference
• /
• 2007.07a
• /
• pp.627-628
• /
• 2007

Since Korea has more accident rate than advanced country, it causes very serious problems in national. In this paper electricity accidents of Korea are analyzed by using a new microscopic method, which is different from existing macroscopic methods. And enhanced methodologies for Korean safety system are designed conceptually by analyzing and comparing causes of electricity accidents with advanced countries based on how many accidents occur by case types and what specification these types have.