• Proceedings of the KSME Conference
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• 2008.11b
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• pp.2262-2267
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• 2008

In this paper, drying mechanism is analyzed for improving the energy efficiency of an electric clothes dryer which consumes more electric power than other appliances. For the purpose, characteristic curves of the dryer such as temperature, relative humidity, evaporation rate, mass transfer coefficient, remaining moisture content curves are experimentally obtained. Based on the experimental results and analysis of drying mechanism, the effect of power of a heater and heat loss on the power consumption of an electric clothes dryer are systematically presented. These results demonstrate the feasibility of controlling heat loss at the heater as well as backduct component to decrease the power consumption of an electric clothes dryer.

• Journal of the Institute of Convergence Signal Processing
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• v.16 no.3
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• pp.115-121
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• 2015

A device which could cut off the consumption of standby power by electric or electronic devices at homes and offices while waiting for a command to carry out the main functions from the inside or the outside was developed at a low price. Efforts to save standby power have been made on a global scale as well as by advanced countries. The consumption of standby power in South Korea is also increasing gradually due to increasing trend in the number of electronic and electric devices per household, becoming a major factor for waste of electric energy. The previous standby power cutoff devices themselves have high electric energy consumption and complicated structures, making the purpose less meaningful. Therefore, a low-priced standby power cutoff device is suggested in this study, which compensates such problems and cuts off the consumption of standby power completely. The circuit of the suggested standby power cutoff device was designed and implemented by applying it to an earth leakage breaker and an (electrical) outlet. Experimental results show its superiority.

• Proceeding of Spring/Autumn Annual Conference of KHA
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• 2011.04a
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• pp.111-115
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• 2011

The purpose of this study was the analysis of electric energy consumption with the case study of tower type apartment's opening of building surface. We analyze the relationship between tower type apartment's opening of building surface and using electric energy consumption. The results of this study are: 1) The highest energy consumption of electric energy was on August without any influence of opening types of building surface. 2) Also, the south-west sides consumption of August was 848 kWh on Type B(one side opening) and it was the highest usage. 3) A house if facing west used more electricity than facing east when its opening of building surface's datum level is facing south. However, the house of facing east used more power than west when its opening of building surface's datum level is facing north. 4) When opening of building surface is facing on north-west or north-east, the opening of building surface's side of west and east used more electric power than north-west or north-east sides.

• Proceedings of the KIEE Conference
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• 2001.07a
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• pp.501-503
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• 2001

Electric power consumption is highly increasing as the social trend requiring comfortable life, the population in a big city and the industrial development. Therefore it has become to be very important to supply the stable high-quality power. As these trend, the underground power transmission facility is highly increasing in the center of a city. As the proportion to increase facility in tunnel, the fire prevention measures of the underground transmission line become very important.

• KIPS Transactions on Computer and Communication Systems
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• v.5 no.10
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• pp.293-302
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• 2016

Since the electricity is produced and consumed simultaneously, predicting the electric load and securing affordable electric power are necessary for reliable electric power supply. In particular, a university campus is one of the highest power consuming institutions and tends to have a wide variation of electric load depending on time and environment. For these reasons, an accurate electric load forecasting method that can predict power consumption in real-time is required for efficient power supply and management. Even though various influencing factors of power consumption have been discovered for the educational institutions by analyzing power consumption patterns and usage cases, further studies are required for the quantitative prediction of electric load. In this paper, we build an electric load forecasting model by implementing and evaluating various machine learning algorithms. To do that, we consider three building clusters in a campus and collect their power consumption every 15 minutes for more than one year. In the preprocessing, features are represented by considering periodic characteristic of the data and principal component analysis is performed for the features. In order to train the electric load forecasting model, we employ both artificial neural network and support vector machine. We evaluate the prediction performance of each forecasting model by 5-fold cross-validation and compare the prediction result to real electric load.

• Journal of Power System Engineering
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• v.21 no.4
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• pp.84-93
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• 2017

This study was carried out to improve the electric power consumption of HVAC in the blow mold machine(BMM) and work environment. The experiment was conducted with the simulated HVAC system of 1/15 of the actual BMM. The temperature of main facility and two preheaters was fixed at 200 and $60^{\circ}C$ respectively in all test conditions. The measured points of temperature were chosen as critical locations considering the work environment. The tendency of temperature distributions decreases as the duct was closed to the main facility. The reduction rate of power consumption of HVAC increases up to 32.3% when both duct and cooling systems are operated. Also the efficiency of HVAC is improved about 9% through the modified design of duct system. It notes that the electric power consumption of HVAC can be reduced by the optimum design and operating condition of duct and cooling system.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.50 no.12
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• pp.568-574
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• 2001

The variations of real time electric power price in competitive electricity markets have influence on electric power demands of the consumers. The effects of the consumers for electric power price can be expressed the price elasticity coefficient of the power demand as a measurement. Residential, commercial, and industrial consumers with different characteristics cause the different price elasticity of the power demand due to changing the pattern of consumption. It is necessary that the effects of electric power demands as a function of elasticity coefficient for each loads should be analyzed in Korea which is processing deregulated electric market. Therefore, this paper calculate the elasticity coefficient of each loads and analysis the effects of electric power demands as a function of elasticity coefficient of inflexible and flexible consumers in competitive electricity market.

• Journal of the Korean Data and Information Science Society
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• v.20 no.2
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• pp.283-292
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• 2009

Recently the stable electric power supply is threaten by the rapid development of all the industries consuming a lot of electric power, thus KEPCO is trying to establish the countermeasures to cope with this circumstance of uprising power consumption by running the efficient and flexible 12-month s price policy for the base price and raisin the electric power price remarkably in peak power consumption period to suppress the maximal power demand of consumers. To resolve these problems, this study propose the method calculating hourly CBL based on the hourly amount at non-event using the pattern of the amount of power consumption and propose the operation method of DR Program.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.15 no.1
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• pp.118-124
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• 2001

To guide the esti-on of electric d e d and energy saving, this proposed the Power Laaddensity, Elechic pwer consumption and the installed state of Power facility. For this purp~se, it wasconducted a questionnaire survey of the consumption-cattern of Electric power in 1W a p a r t t housings.As a 1-esult it is found that (i) the d m u m value of Power Load density is 7.70[~A/m"l, (ii) the avtragevalue of Power Load dens'||'&'||' is ~ . ~ A / mm' dl (iiijthe average load rate is Ed[%]. Also, the consumptionof electricity one year at tlie whole a m n t s of couniry is 14,0X[GWyearl, it was equivalent to 7[%1 ofthe total-consunmhon of electricity one year at the whole of co1mtnr. co1mtnr.

• Nuclear Engineering and Technology
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• v.54 no.8
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• pp.2840-2851
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• 2022

Electric boilers (EBs) are the backup steam source for the auxiliary steam system of high-temperature gas-cooled reactor nuclear power plants. When the plant is in normal operations, the EB is always in hot standby status. However, the current hot standby operation strategy has problems of slow response, high power consumption, and long operation time. To solve these problems, this study focuses on the optimization of hot standby operations for the EB system. First, mathematical models of an electrode immersion EB and its accompanying deaerator were established. Then, a control simulation platform of the EB system was developed in MATLAB/Simulink implementing the established mathematical models and corresponding control systems. Finally, two optimization strategies for the EB hot standby operation were proposed, followed by dynamic simulations of the EB system transient from hot standby to normal operations. The results indicate that the proposed optimization strategies can significantly speed up the transient response of the EB system from hot standby to normal operations and reduce the power consumption in hot standby operations, improving the dynamic performance and economy of the system.