• Title/Summary/Keyword: Power consumptions

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The Recommendation on Power Saving through the Measuring of the Standby Power of OA Equipments (OA기기의 대기전력 측정을 통한 절전 평가 제안)

  • Kim, Man-Geon;Choi, Don-Mook
    • Journal of the Korea Safety Management & Science
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    • v.15 no.1
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    • pp.161-167
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    • 2013
  • The purpose of this study was to assess power loss in the computer and office automation equipment and identified a way to save power consumptions through field measurement. In this study, the meaning of standby power was to consume power while waiting for the use of any electronic equipment. This standby consumption was about 11% of total power consumption even though we did not seriously realize it. Therefore, it was very important to measure accurate power consumption at the standby status of electronic equipment. In addition, it also helped to reduce potential risks of electricity associated disasters. This study proposed the way to reduce power losses through automatic turn off switches for power outlets and switches. Finally, this study can evaluate power consumption patterns that can reduce power consumptions and potential risks of power related disasters. This also can achieve the goals of sustainability that can reduce environmental impacts by lowering energy consumptions and greenhouse gas emissions.

Modeling of Fuel Consumption Rate for Agricultural Tractors (농업용 트랙터의 연료 소비량 예측 모델)

  • Kim, Soo-Chul;Kim, Kyeong-Uk;Kim, Dae-Cheol
    • Journal of Biosystems Engineering
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    • v.35 no.1
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    • pp.1-9
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    • 2010
  • A mathematical model was developed to predict the fuel consumption rate consumed by agricultural tractors under arbitrary loaded conditions. The model utilizes the measured data on the fuel consumptions at the full load and at the rated engine speed with partial loads, which can easily be obtained from the official OECD tractor test reports. It was found from the analysis of the measured fuel consumption data that the fuel consumptions at two different speeds does not change with power. The model was developed based on this fact and validated with the measured data of the 159 tractor test reports. The fuel consumptions predicted by the model were compared with those measured under the partially loaded conditions specified in the official OECD tractor test code II. The percent errors of the predicted fuel consumptions were in a range from 0.36 to 2.86% which assured that the developed fuel consumption model can be used practically to predict the fuel consumptions at any speed and power combinations. It was also shown that the developed model predicts the fuel consumption rate better than the Grisso's model.

Studies on Power Cost Reduction through Efficient Operation of Railway Vehicles Based on Seoul Metro (열차의 효율적 운영을 통한 동력비 절감방안에 관한 연구 - 서울메트로를 중심으로 -)

  • Chung, Il-Bong;Park, Jeong-Soo;Kim, Hoo-Kyu
    • Proceedings of the KSR Conference
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    • 2007.11a
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    • pp.792-800
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    • 2007
  • The annual power cost for Seoul metro operations is about 65.5 billion won, of which rail motors account for 60% among total power consumptions. It is expected that the power consumption would increase because of global warming, future high electric equipments demands, etc. To reduce these consumptions, it is necessary to analyze the transportation demands of passengers, arrange the power-saving driving environments, respond flexible vehicles service, and improve how to drive vehicles. These method to reduce power consumption for rail motors can lead to improve the Seoul metro management. In this research, the improvement plan is derived by collecting and analyzing the data for total 33 power consumptions factors, screening top 10 factors by priority and impact, establishing each hypothesis to execute correlation and recursion analyses. As a result of 4 items research among top 10 affected factors, the power consumption for rail motors in 2006 is effectively reduced; the power usage is down with 13,870 kwh, from 531,539 kwh to 517,669 kwh, and the cost is down with 1,026 million won, from 39, 334 million won to 38,308 million won.

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The Effects of Operational Conditions of Cooling Water System on Energy Consumption for Central Cooling System (냉각수 계통의 운전변수가 중앙냉방시스템의 에너지소비량에 미치는 영향)

  • Ahn, Byung-Cheon
    • Journal of the Korean Society for Geothermal and Hydrothermal Energy
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    • v.13 no.4
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    • pp.8-13
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    • 2017
  • The effects of operational conditions of cooling water system on energy consumption for central cooling system are researched by using TRNSYS program. Cooling tower water pump flow rate, cooling tower fan flow rate, and condenser water temperature with various dry-bulb and wet-bulb temperatures are varied and their effects on total and component power consumption are studied. If the fan maximum flow rates of cooling tower is decreased, cooling tower fan and total power consumptions are increased. If the cooling tower water pump maximum flow rates is decreased, chiller and total power consumptions are increased. If condenser water set-point temperature is increased, chiller power consumption is increased and cooling tower fan power consumption is decreased, respectively.

Short-Term Forecasting of Monthly Maximum Electric Power Loads Using a Winters' Multiplicative Seasonal Model (Winters' Multiplicative Seasonal Model에 의한 월 최대 전력부하의 단기예측)

  • Yang, Moonhee;Lim, Sanggyu
    • Journal of Korean Institute of Industrial Engineers
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    • v.28 no.1
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    • pp.63-75
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    • 2002
  • To improve the efficiency of the electric power generation, monthly maximum electric power consumptions for a next one year should be forecasted in advance and used as the fundamental input to the yearly electric power-generating master plan, which has a greatly influence upon relevant sub-plans successively. In this paper, we analyze the past 22-year hourly maximum electric load data available from KEPCO(Korea Electric Power Corporation) and select necessary data from the raw data for our model in order to reflect more recent trends and seasonal components, which hopefully result in a better forecasting model in terms of forecasted errors. After analyzing the selected data, we recommend to KEPCO the Winters' multiplicative model with decomposition and exponential smoothing technique among many candidate forecasting models and provide forecasts for the electric power consumptions and their 95% confidence intervals up to December of 1999. It turns out that the relative errors of our forecasts over the twelve actual load data are ranged between 0.1% and 6.6% and that the average relative error is only 3.3%. These results indicate that our model, which was accepted as the first statistical forecasting model for monthly maximum power consumption, is very suitable to KEPCO.

Evaluation of Energy Consumptions in Daylight Responsive Dimming Systems (광센서 조광제어시스템의 소비전력 평가)

  • Lee, Soon-Ji;Choi, An-Seop
    • Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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    • 2006.05a
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    • pp.195-199
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    • 2006
  • This study aims to measure amount of the reduction ratio of energy consumptions by the daylight responsive dimming systems, which uses daylighting and electric lighting. The results of this study show that the reduction ratio of electric power is better 'clear sky' by sky condition and 'window side of room' by zoning. When calculating reduction ratio of energy consumptions with used times in real office space, it tells that the result of real office was higher ratio than that of experimental space. For this study which presents efficient use of daylight in office environment, it will be basis of improving energy performance.

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Low Power Smart Sensing Algorithm based on Context Aware (상황인지 기반 스마트 저전력 센싱 기술)

  • Kim, Seong-Joong;Park, Woo-Chool;Seo, Hae-Moon;Park, Man-Kyu
    • Proceedings of the Korea Information Processing Society Conference
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    • 2011.11a
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    • pp.44-47
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    • 2011
  • In this paper, we propose context-aware based on Low Power Sensing Algorithm. The proposed sensing algorithm reduces power consumptions using low-power sensing algorithms and low-power sensing protocols. Experimental results show that the average power consumption of the proposed method is up to half consumption that of the conventional method.

A Low Power PRAM using a Power-Dependant Data Inversion Scheme (전력-종속 데이터 반전 기법을 이용한 저전력 상변환 메모리)

  • Yang, Byung-Do
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.44 no.11
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    • pp.95-100
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    • 2007
  • A low power PRAM using a power-dependant data inversion (PDI) scheme is proposed. The PRAM consumes large write power because large write currents are required during long time. Also, the power consumptions for storing #1# and #0# are different. The PDI circuit compares the power consumptions to store the original data and its inverted data, and then it stores the less power consuming data. Although the PDI scheme needs an additional inversion bit per data, the maximum and average powers of the PDI can be under 50% and 37.5% of the conventional write scheme, respectively. The average power for storing 8bit data is under 41%, due to the inversion bit. The 1K-bit PRAM chip with 128$\times$8bits was implemented with a 0.8${\mu}m$ CMOS technology with a 0.5${\mu}m$ GST cell.

A Feasibility Study on the Wind Power Plant for Common Residential Buildings in Youngdo Island, Busan (부산 영도구 공동주택에 대한 풍력발전 도입가능성)

  • Hwang, Kwang-Il;Kim, Jee-Hun;Shin, Hyoun-Ho;Lee, Su-Ho;Han, Je-Deok
    • Proceedings of the Korean Society of Marine Engineers Conference
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    • 2006.06a
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    • pp.255-256
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    • 2006
  • A wind power plant is one of the competitive and effective energy among the regulated 13 renewable energies, especially for the seashore and island. This study is focused on the possibility of wind power plant as a on-site electric power supply system for the common residential building in Youngdo, Busan. The following show the results of this study. 26 apartments' monthly electric power consumptions are surveyed and monthly variations are stable comparing to the metropolitan. With the wind speed measured in Youngdo island and wind power plant efficiency data, the simulation is conducted and the result shows that 35 wind power units are satisfied with full electric power load for all the common residential buildings in Youngdo island.

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Selection of Ventilation Rate and Filter for a Residential Housing in View of Indoor Particle Concentration (공동주택의 적정 환기량 및 필터의 선정 - 실내입자농도를 중심으로 -)

  • Noh, Kwang-Chul;Jung, Yee-Kyeong;Hwang, Jung-Ho
    • Proceedings of the SAREK Conference
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    • 2008.06a
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    • pp.517-522
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    • 2008
  • Ventilation rate and filter were selected to simultaneously satisfy indoor air quality and minimize energy consumption in residential housing. The concentrations of indoor particles were calculated using an adapted mass balance model for various ventilation airflow rates. To satisfy the guidelines for indoor concentrations of particles, the minimum ventilation rates of 1.0/h, 0.6/h and 0.4/h were required for MERV11, MERV13 and MERV14, respectively. And the fan power consumptions induced by ducts, a heat exchanger and a filter were calculated for various ventilation airflow rates. The increase in the ventilation rate caused a dramatic increase in the power consumption, but the filter performance did not have much of an effect on the fan power for ventilation airflow rates lower than 0.4/h. The use of the ventilation filter of MERV 14 was suggested at a ventilation rate of 0.4/h when the fan power consumptions were considered in addition to the indoor concentrations of particles and $CO_2$. The use of the MERV14 filter at a ventilation rate of 0.6/h could be more effective than the additional use of an indoor air cleaner when the residential housing unit was ventilated.

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