• Title/Summary/Keyword: power and energy consumption

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Recommended Practice for Lighting Load Density by Feature Parameters and Regression Analysis depending on Power Consumption Characteristics in Subway Stations (회귀분석이론을 이용한 지하철 역사의 조명부하밀도 분석)

  • Jung, Hyeon-Ki;Kim, Se-Dong
    • Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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    • 2006.05a
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    • pp.254-259
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    • 2006
  • It is increased electrical energy consumption with the development of intelligence society in the subway station and thus an energy conservation through efficient use of electricity became more important. This paper shows a reasonable design load density in subway stations, that was made by the systematic and statistical way considering actual conditions, such as investigated electric equipment capacity, peak power consumption, demand factor, etc., for 34 subway stations and 10 electrical design offices. In this dissertation, it is necessary to analyse the key features and general trend from the investigated data. It made an analysis of the feature parameters, such as average, standard deviation, median, maximum, maximum and thus it was carried linear and nonlinear regression analysis.

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Recommended Practice for Demand Factor using Regression Analysis Theory depending on Power Consumption Characteristics in General Hospitals (종합병원의 전력소비 특성을 고려한 회귀분석이론을 이용한 수용률 기준 설정)

  • Kim, Se-Dong;Shin, Hyo-Seop;Kim, Soo-Gil;Oh, Kie-Bong
    • Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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    • 2005.11a
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    • pp.233-237
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    • 2005
  • It is increased electrical energy consumption with the development of intelligence society in the general hospitals and thus an energy conservation through efficient use of electricity became more important. This paper shows a reasonable design demand factor in office buildings, that was made by the systematic and statistical way considering actual conditions, such as investigated electric equipment capacity, peak power consumption, demand factor, etc., for 32 general hospitals and 9 electrical design offices. In this dissertation, it is necessary to analyse the key features and general trend from the investigated data. It made an analysis of the feature parameters, such as average, standard deviation, median, maximum, minimun and thus it was carried linear and nonlinear regression analysis.

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A Study on Winter Season Measurement Results to cope with Dynamic Pricing for the VRF System

  • Kim, Hwan-yong;Kim, Min-seok;Lee, Je-hyeon;Song, Young-hak
    • Architectural research
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    • v.17 no.3
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    • pp.109-115
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    • 2015
  • The dynamic pricing of electricity, where the electricity rate increases in a time zone with a high demand for electricity is typically applied to a building whose power reception capacity is greater than a certain size. This includes the time of use(TOU) electricity pricing in Korea which can induce the effect of reducing the power demand of a building. Meanwhile, a VRF (Variable Refrigerant Flow) system that uses electricity is regarded as one of the typical heating and cooling systems along with central air conditioning (central HVAC) for its easy operation and application to the building. Thus, to reduce power energy and operating costs of a building in which the TOU and VRF systems are applied simultaneously, we suggested a control for changing the indoor temperature setting within the thermal comfort range or limiting the rotational speed of an inverter compressor. In this study, to describe the features of the above-mentioned control and verify its effects, we evaluated the results obtained from the analysis of its operation data. Through the actual measurements in winter operations for 73 days since mid- December 2014, we confirmed a reduction of 10.9% in power energy consumption and 12.2% in operating costs by the new control. Also, a reduction of 13.3% in power energy consumption was identified through a regression analysis.

Development of Smart PCS(Power Conditioning System) Integrating PV/ESS for Home (가정용 태양광/ESS 통합 스마트 PCS 개발)

  • Lee, Sang-Hak
    • Journal of Digital Convergence
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    • v.14 no.7
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    • pp.193-200
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    • 2016
  • Research and development of energy self-consumption introducing photovoltaic and energy storage system at home is very active. This system can manage the home energy in which it charges the electricity generated during the day and uses it during high electricity bills. However, it not yet made up the residential real-time pricing in Korea but it can reduce electricity usage to a certain target on the progressive. In order to introduce the home photovoltaic, it requires PCS(Power Conditioning System). This converts the direct current into alternating current by the electricity generated and used to perform charging and discharging of the energy storage system. The market for self-consumption smart home system is currently increasing because the interests of the general public about solar power, energy storage systems increased. The result of this study is installed on the room environment and the effect was analyzed on the assumption of real-time pricing.

Two Way Set Temperature Control Impact Study on Ground Coupled Heat Pump System Energy Saving (양방향 설정온도 제어에 따른 지중연계 히트펌프 시스템의 에너지 절감량 평가 연구)

  • Kang, Eun-Chul;Lee, Euy-Joon;Min, Kyong-Chon
    • Journal of the Korean Society for Geothermal and Hydrothermal Energy
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    • v.10 no.2
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    • pp.7-12
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    • 2014
  • Government has recently restricted heating and cooling set temperatures for the commercial and public buildings due to increasing national energy consumption. The goal of this paper is to visualize a future two way indoor set temperature control impact on building energy consumption by using TRNSYS simulation modeling. The building was modelled based on the twin test cell with the same dimension. Air source ground coupled heat pump performance data has been used for modeling by TRNSYS 17. Daejeon weather data has been used from Korea Solar Energy Society. The heating set temperature in the reference room is $24^{\circ}C$ as well as the target room set temperature are $23^{\circ}C$, $22^{\circ}C$, $21^{\circ}C$ and $20^{\circ}C$. The cooling set temperature of the reference room is also $24^{\circ}C$ as well as the target room set temperature of $25^{\circ}C$, $26^{\circ}C$, $27^{\circ}C$ and $28^{\circ}C$. For the air source heat pump system, heating season energy consumption is $35.52kWh/m^2y$ in the reference room. But the heating energy consumption in the target room is reduced to 7.5% whenever the set temperature decreased every $1^{\circ}C$. The cooling energy consumption in the reference room is $4.57kWh/m^2y$. On the other hand, the energy consumption in the target room is reduced to 22% whenever the set temperature increased every $1^{\circ}C$ by two way controller. For the geothermal heat pump system, heating energy consumption in the reference room is reduced to 20.7%. The target room heating energy consumption is reduced to 32.6% when the set temperature is $22^{\circ}C$. The energy consumption in the target room is reduced to 59.5% when the set temperature is $26^{\circ}C$.

Performance Analysis of Tradeoff between Energy Consumption and Activation Delay in UMTS State Transition Mechanism (UMTS 상태 천이 방식에서 에너지 소비와 활성 지연간의 트레이드오프 성능 분석)

  • Choi, Hyun-Ho
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.37A no.12
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    • pp.1085-1092
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    • 2012
  • Mobile communication systems define user state transition mechanisms in order to manage radio resources and battery power efficiently. In the state transition mechanism, a state with a higher energy consumption inherently offers a shorter access delay, so there is a tradeoff between the energy and delay performances. In this paper, we analyze the user state transition mechanism of UMTS by considering the bursty traffic attributes of mobile applications. We perform a numerical evaluation for both the energy consumption and the activation delay by Markov modeling of the state transition mechanism, and investigate their tradeoff relationship as functions of operational parameters. The resulting energy-delay tradeoff curves clearly show an achievable performance bound of the user state transition mechanism and also offer an optimal operation strategy to minimize the energy consumption while guaranteeing the delay requirement.

Energy Demand Estimation in Metropolitan Area in Case of Emergency using Spatial Information (공간정보를 활용한 대도시권역 비상시 에너지 수요량 예측)

  • Nam, Gyeongmok;Lee, Hong Chul;Lee, Dong-Eun
    • Korean Journal of Construction Engineering and Management
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    • v.20 no.3
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    • pp.105-112
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    • 2019
  • Due to abnormal high temperature, electric power demand has exceeded the backup power reserved for emergency case, hence, resulting in a major power outage. In today's overcrowded cities, the unexpected disruption in energy supply and demand is a major threat to the enormous economic damage and urban malfunctions. Existing methods for estimating the demand of the emergency power source do not lend themselves to predict the actual demand in the spatial dimension of the city. In addition, the reserve power is arbitrarily distributed in the case of emergency. This paper presents a method that predicts the emergency power demand using the spatial distribution of emergency power demand by applying the daily energy consumption intensity and emergency power demand according to urban spatial information and building use.

CLHS Driving Method for Reducing Reactive Power Consumption in AC PDP (AC PDP의 무효전력 감소를 위한 CLHS 구동 방법)

  • Shin, Jae-Hwa;Kim, Gun-Su
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.60 no.3
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    • pp.577-583
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    • 2011
  • In AC-PDP, it is necessary to achieve high luminance efficiency, high luminance and high definition by adopting technologies such as high xenon concentration and long gap. However, it is very difficult to apply above technologies because they make many problems such as mis-discharge and high driving voltage. Especially, the reactive power of PDP must be reduced for satisfaction in international standard IEC62087. In this paper, we proposed CLHS driving method which is half sustain driver without energy recovery capacitor. In the experimental results, CLHS driving method reduced reactive power consumption about 10%. Also, CLHS driving method improved the luminance efficiency in all discharge loads. Therefor, the more the discharge load decreases, the more the luminance efficiency improves. When the discharge load is 20%, CLHS driving method improved 5.35%.

The Prediction of the location and electric Power for Small Wind Powers in the H University Campus (대학교 캠퍼스 소형풍력발전기 설치 및 발전량 예측에 관한 연구)

  • Cho, Kwan Haeng;Yoon, JaeOck
    • KIEAE Journal
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    • v.12 no.1
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    • pp.127-132
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    • 2012
  • The energy consumption in the world is growing rapidly. And the environmental issues of climate become a important task. The interest in renewable energy like wind and solar is increasing now. Especially, by reducing power transmission loss, a small wind power is getting attention at the residential areas and campus of university. In this study, we attempted to estimate and compare the wind energy density using wind data of AWS (Automatic Weather Station) of H University. In this case of a campus, the weibull distribution parameter C is 2.27, and K is 0.88. According to the data, the energy density of the small wind power is 12.7 W/m2. We did CFD(Computational Fluid Dynamics) simulations at H University campus by 7 wind directions(ENE, ESE, SE, NW, WNW, W, WSW). In the results, we suggest 4 small wind powers. The small wind power generating system can produce 4,514kWh annually.

A Energy-Efficient Cluster Header Election Algorithm in Ubiquitous Sensor Networks (USN에서 에너지 효율성을 고려한 효과적인 클러스터 헤더 선출 알고리즘)

  • Hur, Tai-Sung
    • Journal of the Korea Society of Computer and Information
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    • v.16 no.10
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    • pp.197-203
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    • 2011
  • In this paper, a new cluster configuration process is proposed. The energy consumption of sensor nodes is reduced by configuring the initial setup process only once with keeping the initial cluster. Selecting the highest power consumed node of the member nodes within the cluster to the header of next round can distribute power consumption of all nodes in the cluster evenly. With this proposed way, the lifetime of the USN is increased by the reduced energy consumption of all nodes in the cluster. Also, evenly distributed power consumptions of sensors are designed to improve the energy hole problem. The effectiveness of the proposed algorithms is confirmed through simulations.