• Title/Summary/Keyword: Electric Appliance

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Power Savings of a Refrigerator with 3D-PTV Measurements (3D-PTV에 의한 냉장고 소비전력 저감)

  • Hwang Tae-Gyu;Doh Deog-Hee;Park Seong-Ryong;Bang Yoon-Seok;Yang Min-Cheol;Jang Gyu-Seob;Kim Suk-Roh;Lee Yeon-Won
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.17 no.12
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    • pp.1145-1153
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    • 2005
  • 3D-PTV measurement has been carried out for the inner flows of a refrigerator. To visualize the air flows three-dimensionally, a helium bubble generator has been used for the 3D-PTV measurements. Three-dimensional flow field of the refrigerator's compartments have been reconstructed by the results obtained by the 3D-PTV Measurements on the electric power-consumption was also carried out in order to evaluate the improvements of the flow characteristics. It was verified that $3\%$ of power consumption was saved by improving the flow passages and characteristics.

Analysis Result for the Technical Development Reducing Standby Power in Domestic Major Electric Appliances : The Electricity Energy Saving Effect (국내 주요 가전제품의 대기전력저감기술 성과 분석 : 에너지절약 효과를 중심으로)

  • Lee, Eun-Young;Joung, Soon-Hee
    • Journal of Families and Better Life
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    • v.27 no.4
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    • pp.141-160
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    • 2009
  • Recently, some policies for reducing standby power, which has quite an effect on electricity consumption, have been employed all over the world. This study surveys the present condition of standby power for major electric home appliances during three years and analyzes the result of technical development reducing standby power. It presents how the industry paid attention to applying the technique of reducing standby power to electric appliances and how it affects the product's energy efficiency. We survey the standby power's change for six items, which were selected from the major electric appliances available on the market. It analyzes the difference of standby power consumption between appliances with a standby power reducing technique and those without during the latest three years. The amount of the average standby power is also compared. The comparison data confirms that the industry's effort and application of reducing standby power contribution has contributed to increasing an appliance's energy efficiency. This study restricted the analyzed items to six appliances, which has been a low volunteered involvement in the standby power reducing program. It is important for reducing standby power consumption of appliances because it contributes to saving electric energy at home and abroad. The development of the standby power reducing technique is needed for more appliances. Along with the development of the standby power reducing technique in the industrial field, it also necessary for consumers to enlarge their understanding of standby power reduction for economic, social, and environmental values.

A Study on the Insulation Characteristics of Epoxy Composites Using Electric Field Simulation

  • Lee, Deok-Jin
    • Journal of the Korea Society of Computer and Information
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    • v.26 no.2
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    • pp.53-60
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    • 2021
  • In this paper, we aimed to identify the insulation characteristics and reliability of Epoxy composites, which are widely used as insulation material for electrical & electronic components and electric appliance. To this end, it was necessary to predict variations of electric field due to the distribution of fillers that must be added by economic and mechanical factors. So, we verified the result using an electric field analysis Simulator. Furthermore, under the condtion of DC voltage application, an dielectirc breakdown test was performed according to ambient temperature changes and the distribution of fillers, and the changes were observed. Three types of specimens were manufactured by adding 0, 50 and 100[phr] filling to Epoxy resin. In all specimens, as temperature was increased, the strength of the dielectric strength was decreased. When comparing the simulation results with the actual dielectric breakdown test results, we was able to confirm the technical applicability required for Insulation design of electric appliance.

Reliability Prediction using Telcordia SR-332 in Electric Home Appliance (Telcordia SR-332를 이용한 가전제품 신뢰도 예측)

  • Lee Duck-Kyu
    • Journal of Applied Reliability
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    • v.5 no.4
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    • pp.427-438
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    • 2005
  • This paper is concerned with the problem in predicting the reliability of an LCD product, Product reliability calculation methods classify accelerated life test (ALT) and using the reliability standard as MIL-HDBK-217F and Telcordia SR-332. The reliability standard can calculate estimating value more quickly than accelerated life test. The system MTBF was calculated in accordance of Telcordia SR-332 standard which includes directions of part electronic measurement, temperature rise and environmental test data. This research is intended to obtain the useful information for each electric design step to save time and cost.

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Electric power system effect investigation of large size digital signal accident thought in digital age (디지털시대의 대형사고의 전기적 영향 고찰)

  • Kang, Tae-Keun
    • Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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    • 2004.05a
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    • pp.575-580
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    • 2004
  • The latest equipment automatic Intelligence of digital base done large size equipment appear in succession. That run by voltage electric current(mA, mV, ${\mu}A,\;{\mu}V$) that outline is microscopic of action of accuracy large size equipment of this digital base is bulk. Have received influence that is great in river electric field by installment that use computer. Most of domestic working voltage from service entrance extra-high voltage and working voltage of commercial frequency 60Hz working voltage 220V that use our country outside 1 country in interior of 22.900V for semiconductor use computer use digital installment of appliance as well as various smalls of digital base, middle, large size that safety is these fine voltage electric current that is not enough direct admonition hundred vast damage give can. Also, already act in surge circle and impulse transient phenomena such as several thousands, myriads, strong bit error more than billions time to digital fine electronic circuit by mistake use of using electric facility system of system electric power.

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The Analysis of Noise contribution about Drum Washer under dehydrating condition using Multi-Dimensional Spectral Analysis (다차원 스펙트럼 해석법을 이용한 탈수시 드럼세탁기의 소음 기여도 분석)

  • Kim, Ho-San;Park, Sang-Gil;Kang, Dong-Woo;Jung, Bo-Sun;Lee, You-Yub;Oh, Jae-Eung
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2006.11a
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    • pp.75-81
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    • 2006
  • Recently, customers interest about noise of household electric appliance is growing. so, designer of product must study to reduce noise of product. Specially, in case of household electric appliance such as washing machine, there was consumers' complaint about noise that is radiated under dehydrating condition. But, in the case of washing machine, identification of noise source is not easy when washing machine is under dehydrating condition. Because various noise source influence each other, it is difficult to find out pure contribution degree about output noise. Multi-Dimensional Spectral Analysis(MDSA) is method that can remove correlation between inputs each other and express pure contribution degree about output of single input. So in this study, we analyzed contribution of each noise source on transfer pass of noise that is radiated at dehydration of washing machine using MDSA.

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The Development of an Intelligent Home Energy Management System Integrated with a Vehicle-to-Home Unit using a Reinforcement Learning Approach

  • Ohoud Almughram;Sami Ben Slama;Bassam Zafar
    • International Journal of Computer Science & Network Security
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    • v.24 no.4
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    • pp.87-106
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    • 2024
  • Vehicle-to-Home (V2H) and Home Centralized Photovoltaic (HCPV) systems can address various energy storage issues and enhance demand response programs. Renewable energy, such as solar energy and wind turbines, address the energy gap. However, no energy management system is currently available to regulate the uncertainty of renewable energy sources, electric vehicles, and appliance consumption within a smart microgrid. Therefore, this study investigated the impact of solar photovoltaic (PV) panels, electric vehicles, and Micro-Grid (MG) storage on maximum solar radiation hours. Several Deep Learning (DL) algorithms were applied to account for the uncertainty. Moreover, a Reinforcement Learning HCPV (RL-HCPV) algorithm was created for efficient real-time energy scheduling decisions. The proposed algorithm managed the energy demand between PV solar energy generation and vehicle energy storage. RL-HCPV was modeled according to several constraints to meet household electricity demands in sunny and cloudy weather. Simulations demonstrated how the proposed RL-HCPV system could efficiently handle the demand response and how V2H can help to smooth the appliance load profile and reduce power consumption costs with sustainable power generation. The results demonstrated the advantages of utilizing RL and V2H as potential storage technology for smart buildings.

A Study on the Simulation Methodology of Home Appliance Control and Load Experiment for the Development of All-electric House Load Models (전기에너지주택 부하모델 개발을 위한 가전기기 제어 시뮬레이션 및 부하실험에 관한 연구)

  • Hwang, Sung-Wook;Kim, Kang-Sik;Nah, Hwan-Seon;Park, Hyeon-Jeong;Kim, Jung-Hoon
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.60 no.8
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    • pp.1451-1459
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    • 2011
  • Recently, low energy houses have become an essential issue globally and various subsidy programs are ongoing to penetrate. All-electric houses which are another type of low energy houses or zero carbon houses are being developed. These houses consider new & renewable energy and demand side management programs in the construction and the diffusion process because these programs are essential policies to use energy resources reasonably. This paper shows a simulation methodology to control home appliances in all-electric houses considering the electricity consumption pattern of residents. The simulation is a first step to estimate energy saving of the house in a practical manner.

The Infrastructure Case for Reproduction or Analysis of The Mechanism on The Fire of The Electrical Appliances (가전제품 화재 메커니즘 재현 및 분석을 위한 인프라 구축)

  • Jang, In-Hyeok;Lee, Chang-Hoon;Lee, Young-Joo;Lim, Hong-Woo
    • Journal of Applied Reliability
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    • v.15 no.1
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    • pp.60-66
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    • 2015
  • In this paper, The infrastructure case for reproduction or analysis of the mechanism on the fire or the electrics shock of the electrical appliances is proposed. The various electrical appliances(Washing machine, Ballast, Electric heaters, Electronic switches, Mobile phone chargers) used in the home can be tested on the high voltage and over current test through the implementation of the infrastructure. The electrical tests of fire and electric shock consists of the high voltage of maximum 5000 V and over current test of 3 steps(90 A, 60 A, 40 A) and noise test. The mechanism of the fire and the electric shock tests reproduced are analyzed through the monitoring system and the oscilloscope. The electronics manufacturers can prevent accidents through the tests of the electronics factor reproduced and the analysis of the infrastructure designed.

Study on Prediction Method for ELF Transient Magnetic Field from Home Appliances (가전기기에서 발생되는 극저주파 과도자계 예측기법 연구)

  • Ju, Mun-No;Yang, Kwang-Ho;Myung, Sung-Ho;Min, Suk-Won
    • The Transactions of the Korean Institute of Electrical Engineers B
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    • v.51 no.11
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    • pp.616-621
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    • 2002
  • With biological effects by ELF (Extremely Low Frequency) magnetic field generated from power system, the transient magnetic field from electric appliances is a major issue presently. Because the transient magnetic field induces higher current than the power frequency field inside living bodies, transient magnetic field exposure has been much focused. In this paper, it is shown that transient magnetic field from electric home appliances can be characterized as magnetic dipole moment. In this method, the dipole moment vector is assumed by allowing an uncertainty of 6dB in the estimated field. A parameter M that represents biological interaction was applied also. The proposed method was applied to 7 types of appliances (hair drier, heater, VDT, etc.) and their equivalent magnetic dipole moment and harmonic components were estimated. As the results, the useful data for quantifying magnetic field distribution around electric appliances were obtained.