• 제목/요약/키워드: Energy Consumption Efficiency

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Home Energy Management System for Residential Customer: Present Status and Limitation

  • Lee, Sunguk;Park, Byungjoo
    • International Journal of Advanced Culture Technology
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    • 제6권4호
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    • pp.284-291
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    • 2018
  • As environmental pollution has become worse green technologies to replace or reduce consumption of fossil fuel get spotlight from government, industry and academia globally. It is reported that 40% of carbon dioxide emission is caused by electricity power generation. And 37% of end user electricity power is used by residential costumer in US. Smart Grid is considered as one of promising technology to alleviate severe environmental problem. In residential environment, Home Energy Management System (HEMS) can play a key role for green smart home. The HEMS can give several benefits like aslowering electric utility bill, improvement of efficiency of electric power consumption and integration of generator using renewable energy resources. However just limited functions of HEMS can be used for residential customer in real life because of lack of smart function in home appliances and optimal managing software for HEMS. This study provides comprehensive analysis for Home Energy Management System for residential customer. Simple HEMS system with real products on the market are explained and limitation of current HEMS are also discussed.

수치해석기법을 이용한 에너지 저소비형 대형 중층 트롤어구 개발 (Development of a low-energy used large midwater trawl using a numerical method)

  • 이경훈;이춘우;양용수;이지훈
    • 수산해양기술연구
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    • 제48권3호
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    • pp.195-207
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    • 2012
  • Fuel consumption in fisheries is a primary concern due to environmental effects and costs to fishermen. Much research has been carried out to reduce the fuel consumption related to fishing operations. The fuel consumption of fishing gear during fishing operation is generally related to hydrodynamic resistance on the gear. This research demonstrates a new approach using numerical methods to reduce fuel consumption. The results from the simulation were verified with results that mirrored the model experiments. By designing the fishing gear using drawing software, the whole and partial resistance force on the gear can be calculated as a result of simulations. The simulation results will suggest suitable materials or gear structure for reducing the hydrodynamic forces on the gear while maintaining the performance of the gear. Furthermore, the efficiency of low energy used trawl as economic point of view will be dealt. This research will helpful to reduce the GHG emissions from fishing operations and lead to reduce fishing costs due to fuel savings.

스마트 그리드를 위한 소규모 전력에너지 관리 시스템 개발에 관한 연구 (A Study on Development of Small Scale Electric Power Management System for Smart Grid)

  • 이창수;오해석
    • 한국산학기술학회논문지
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    • 제13권6호
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    • pp.2826-2832
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    • 2012
  • 스마트 그리드는 기존에 발전소에서 전력을 일방적으로 공급하는 단방향 전력망에 정보기술을 접목하여 전력 공급자와 소비자가 양방향으로 실시간 정보를 교환함으로써 에너지 효율을 최적화하는 방식이다. 스마트그리드의 전력 관리 시스템은 동적인 가격제도와 함께 소비자들에게 전력사용에 대한 정보를 제공함으로써, 수요의 반응을 유도하고, 전력 계통의 투자와 운영에 있어 효율을 향상시키는데 있다. 하지만, 최근 전력 관리 시스템들은 실시간 가격 등 가격 제도에 주로 초점을 두고 있다. 본 논문에서는 가격 제도에 초점을 둔 기존 전력관리 시스템을 개선하여 전력 사용의 효율성에 초점을 둔 전력에너지 운영 관리 시스템을 제안한다. 전력 데이터는 배전반에 설치된 PMU(Phasor Measurement Units)를 통해 수집되며 데이터 마이닝 기법을 통한 분석 방법으로 효율성 높이고자 한다. 또한 전력 부족 및 과잉 공급 시 PMU와 양방향 통신을 통해 제어할 수 있도록 구현 및 실험하여 전력에너지 관리시스템의 효율성을 입증하였다.

탄소중립과 그린 수소에너지 전환을 위한 PEM 수전해 시스템에서 작동 전압 및 효율의 열역학적 이해 (Understanding Thermodynamics of Operating Voltage and Efficiency in PEM Water Electrolysis System for Carbon Neutrality and Green Hydrogen Energy Transition)

  • 주형국;봉성율;박승용;이창현
    • 전기화학회지
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    • 제26권4호
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    • pp.56-63
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    • 2023
  • 태양, 파도, 바람 등 친환경 재생에너지원을 이용한 전력 생산 기술이 성숙함에 따라 재생에너지 전력의 경제성과 규모 측면에서 빠르게 발전하고 있다. 특히, 전기화학적인 방법으로 수소를 생산하는 기술은 이러한 재생에너지와 효율적으로 연계될 수 있는 방법 중 하나로 주목받고 있다. 수전해 기술은 작동 온도에 따라서 저온(100 ℃ 이하), 중온(300-700 ℃), 고온(700 ℃ 이상) 수전해로 나눌 수 있으며, 에너지 소비량 및 전압 효율 평가는 열역학 법칙에 따라 계산한다. 그러나 수전해 평가에서 열역학적 전압(thermodynamic voltage)과 열중성 전압(thermo-neutral voltage)의 개념이 혼용되어 사용되고 있다. 본 총설에서는 저온 PEM (proton exchange membrane) 수전해 기술을 바탕으로 작동 전압과 효율 평가에 대한 이해를 높이고, 열역학적 전압과 열중성 전압의 차이점을 명확히 하고자 한다.

Process-Variation-Adaptive Charge Pump Circuit using NEM (Nano-Electro-Mechanical) Relays for Low Power Consumption and High Power Efficiency

  • Byeon, Sangdon;Shin, Sanghak;Song, Jae-Sang;Truong, Son Ngoc;Mo, Hyun-Sun;Lee, Seongsoo;Min, Kyeong-Sik
    • JSTS:Journal of Semiconductor Technology and Science
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    • 제15권5호
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    • pp.563-569
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    • 2015
  • For some low-frequency applications such as power-related circuits, NEM relays have been known to show better performance than MOSFETs. For example, in a step-down charge pump circuit, the NEM relays showed much smaller layout area and better energy efficiency than MOSFETs. However, severe process variations of NEM relays hinder them from being widely used in various low-frequency applications. To mitigate the process-variation problems of NEM relays, in this paper, a new NEM-relay charge pump circuit with the self-adjustment is proposed. By self-adjusting a pulse amplitude voltage according to process variations, the power consumption can be saved by 4.6%, compared to the conventional scheme without the self-adjustment. This power saving can also be helpful in improving the power efficiency of the proposed scheme. From the circuit simulation of NEM-relay charge pump circuit, the efficiency of the proposed scheme is improved better by 4.1% than the conventional.

RIS Selection and Energy Efficiency Optimization for Irregular Distributed RIS-assisted Communication Systems

  • Xu Fangmin;Fu Jinzhao;Cao HaiYan;Hu ZhiRui
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제17권7호
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    • pp.1823-1840
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    • 2023
  • In order to improve spectral efficiency and reduce power consumption for reconfigurable intelligent surface (RIS) assisted wireless communication systems, a joint design considering irregular RIS topology, RIS on-off switch, power allocation and phase adjustment is investigated in this paper. Firstly, a multi-dimensional variable joint optimization problem is established under multiple constraints, such as the minimum data requirement and power constraints, with the goal of maximizing the system energy efficiency. However, the proposed optimization problem is hard to be resolved due to its property of nonlinear nonconvex integer programming. Then, to tackle this issue, the problem is decomposed into four sub-problems: topology design, phase shift adjustment, power allocation and switch selection. In terms of topology design, Tabu search algorithm is introduced to select the components that play the main role. For RIS switch selection, greedy algorithm is used to turn off the RISs that play the secondary role. Finally, an iterative optimization algorithm with high data-rate and low power consumption is proposed. The simulation results show that the performance of the irregular RIS aided system with topology design and RIS selection is better than that of the fixed topology and the fix number of RISs. In addition, the proposed joint optimization algorithm can effectively improve the data rate and energy efficiency by changing the propagation environment.

의류건조기의 열적 특성에 관한 실험 (Thermal Characteristics of an Electric Clothes Dryer)

  • 김준호;장석필;최철진;황교식;이호재
    • 대한기계학회논문집B
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    • 제33권8호
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    • pp.629-634
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    • 2009
  • 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 the backduct component to decrease the power consumption of an electric clothes dryer.

의류건조기의 열적 특성에 관한 실험 (Thermal Characteristics of an Electric Clothes Dryer)

  • 김준호;장석필;최철진
    • 대한기계학회:학술대회논문집
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    • 대한기계학회 2008년도 추계학술대회B
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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.

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응축수 순환이 폐열회수 응축형 보일러 성능에 미치는 영향 (Effect of Waste Heat Recovery Condensing Boiler with Condensed Water Recirculation Function)

  • 금국빈;김수익;유병훈;이창언
    • 한국연소학회:학술대회논문집
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    • 한국연소학회 2015년도 제51회 KOSCO SYMPOSIUM 초록집
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    • pp.201-204
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    • 2015
  • Recently, energy excessive consumption and environmental pollution are the social issued. The most efficient way to solve both energy excessive consumption and environmental pollution is existing combustion system improved. This study was part of the assume and commercial used existing waste heat recovery condensing boiler to low emission performance for exhaust gas recirculation(EGR) and thermal efficiency rise by applying the condensed water recirculation(CWR) conducted. The researchers applied the EGR and CWR develop a new concept for the condensed water recirculation waste heat recovery condensing boiler. Waste heat recovery condensing boiler applied to the condensed water recirculation thermal efficiency of the same conditions was increased by about 4.8~5.5% and pollution emission also decreased.

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딥 러닝 기반 스마트 미터기 구현 (Implementation of Smart Metering System Based on Deep Learning)

  • 선영규;김수현;이동구;박상후;심이삭;황유민;김진영
    • 전기전자학회논문지
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    • 제22권3호
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    • pp.829-835
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    • 2018
  • 기존의 전력 시스템에서 불필요하게 생성되거나 낭비되는 예비전력을 감소시키고 에너지 사용 효율을 개선하기 위한 연구가 최근 활발히 진행되고 있다. 본 연구에서는 전기기기들의 전원 제어를 통한 에너지 사용 효율을 개선하기 위해 스마트그리드의 요소 기술 중 하나인 스마트미터기를 개발하며, 실시간으로 측정된 전력 사용량을 딥 러닝을 통해 전력 사용량의 트렌드를 분석 및 예측한다. 이후 예측된 전력 사용량과 실시간 전력 사용량을 비교하여 전기기기들의 전원을 제어하는 알고리즘을 제안 및 개발한다. 제안한 딥 러닝 기반의 스마트미터기의 성능을 확인하기 위해서 실제 전력 소비 환경을 구축하였고, 실시간으로 전력 사용 데이터를 확보하여 딥 러닝 모델에 학습시킨 뒤 전력 사용량을 예측하였다. 예측된 값과 실제 사용량을 실시간으로 비교하여 예측을 벗어난 기기들의 전원을 제어하여, 전력 사용량을 감소시키고 에너지 사용 효율이 개선되는 결과를 확인하였다.