• Title/Summary/Keyword: Energy consumption

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Case Study on the Energy Consumption Unit of District Apartments (지역난방 공동주택의 에너지원별 원단위 사례분석)

  • Lee, Wang-Je;Kang, Eun-Chul;Lee, Euy-Joon;Oh, Byung-Chil;Shin, U-Cheul
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.26 no.10
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    • pp.474-480
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    • 2014
  • This study investigated the total energy consumption and the energy consumption by type of 31 apartment complexes in Daejeon. The energy is supplied to the apartments from district heating, and can be divided into hot water, electricity, and gas. Hot water is used in for space heating and for domestic hot water (DHW), and electricity is used for plugs, cooling, ventilation, and public utilities (street lights, pumps, elevators, etc.). All gas supplied from district heating is used for cooking. As a result, the consumption unit of each energy source of independent dwelling areas was calculated to be $103.7kWh/m^2{\cdot}a$ ($15,692kWh/H{\cdot}a$) for thermal energy, $48.0kWh/m^2{\cdot}a$ ($4,646kWh/H{\cdot}a$) for electricity, and $10.5kWh/m^2a$ ($1,015kWh/H{\cdot}a$) for gas, so the entire consumption was calculated to be $162.3kWh/m^2{\cdot}a$ ($15,692kWh/H{\cdot}a$).

An Analysis on the Characteristics of Energy and Water Consumption in Urban Rental Apartment (도심 임대아파트의 에너지 및 상수 소비 특성에 관한 연구)

  • Seo, Youn-Kyu;Kim, Ju-Young;Hong, Won-Hwa
    • Journal of the Korean housing association
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    • v.20 no.6
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    • pp.39-46
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    • 2009
  • It has been a serious problem to consume the energy of apartment while increasing to use of heating & cooling System because of residence environmental upgrades. Great attention has been shown to the problem of the rental apartment, so there are few reports of energy consumption about the rental apartment in korea. To solve the lack of housing, our country has supplied an enormous volume of apartments, and these days it occupies 75% of our buildings. As apartments occupy most of our housings, the rate of energy usage from them are also high. On this, setting apartment energy reduction as a target, by researching the actual conditions of energy consumption and drawing a basis data, we can apply this as a way of saving energy, rationalization of the scale of energy supply facilities and a standard when planning facilities. To grasp the present condition of energy usage of the urban rental apartment, this research analysed the use of electricity, gas and water monthly and annually of a rental apartment that is located in Daegu. The results showed that in 2003 the electricity usage was 1,198MWh but 1,315MWh in 2007, which means 9% of electricity usage increases every year. The average of water usage was $85,072\;m^2$ per year and typical energy consumption unit was $604.2\;MJ/m^2$ on $74.4\;m^2$ of area and $448.8\;MJ/m^2$ on $105.8\;M^2$. By showing the usage of energy and water of the urban rental apartment, understanding the tendency and preparing an typical energy consumption unit standard through this research, apartments should use energy more efficiently.

An Index-Based Context-Aware Energy Management System in Ubiquitous Smart Space (유비쿼터스 지능 공간에서의 지수 기반 상황인지 에너지경영 시스템)

  • Kwon, Ohyung;Lee, Yonnim
    • Knowledge Management Research
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    • v.9 no.4
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    • pp.51-63
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    • 2008
  • Effective energy consumption now becomes one of the area of knowledge management which potentially gives global impact. It is considerable for the energy management to optimize the usage of energy, rather than decreasing energy consumption at any cases. To resolve these challenges, an intelligent and personalized system which helps the individuals control their own behaviors in an optimal and timely manner is needed. So far, however, since the legacy energy management systems are nation-wide or organizational, individual-level energy management is nearly impossible. Moreover, most estimating methods of energy consumption are based on forecasting techniques which tend to risky or analysis models which may not be provided in a timely manner. Hence, the purpose of this paper is to propose a novel individual-level energy management system which aims to realize timely and personalized energy management based on context-aware computing approach. To do so, an index model for energy consumption is proposed with a corresponding service framework.

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Survey and Analysis of Power Energy Usage of University Buildings (대학건축물의 전력에너지 사용량 조사 및 분석)

  • Youn, Nam Sik;Kim, Jeong Tai
    • KIEAE Journal
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    • v.13 no.2
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    • pp.27-32
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    • 2013
  • For the past seven years, the increase in the energy consumption of universities in Korea has been 3.7 times higher than the overall increase in the energy consumption across Korea (22.5%). This is an example that shows that universities have been a massive source of greenhouse gases. Such an increase has been attributed to the new and expanded construction of architectural structures on campus. Many people argue that the increasing number of buildings may cause waste of energy and loss of efficiency. Therefore, this study was conducted as a preliminary study to derive energy efficiency measures for new university buildings. The two aspects of energy-saving as required by the eco-friendly structure certification standards have been applied to analyze the use of new/renewable energy and the energy consumption of new university buildings that have applied light density and light engineering methods. Based on these results, the major sources of energy of existing buildings and new university buildings were compared to comparatively discuss how effectively they improve energy performance.

An Investigation on the Effect of Duration of Sunshine on the Heating Energy of Apartment Houses (일조시간이 아파트 난방에너지 소비량에 미치는 영향에 관한 조사연구)

  • Lee Jong-Won;Hwang Hye-Young
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.17 no.3
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    • pp.277-284
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    • 2005
  • The purpose of this study is to analyze the effect of sunshine on the heating energy consumption of apartment houses by a field investigation in Haeundae, Busan. In the field, heating energy consumption of every household is researched by reading a calorimeter and the duration of sunshine of every household is calculated by Sunlight V1.0. Then, the duration of sunshine and heating energy are done regression analysis by SPSS 10. According to this study the apartment houses by orientation spend more energies order of east, west, southeast, southwest, and south. When apartment houses are same orientation, there is difference of $29{\sim}58\%$ in heating energy consumption by the duration of sunshine. And the heating energy consumption in worst condition of sunshine increases $67\%$ on the best condition of sunshine.

A Study on the Selection of Train Operationg Mode Minimizing the Running Energy Consumption (전동열차 운행에너지를 최소화 하는 운전모드 결정)

  • Kim, Yong-Hyun;Kim, Dong-Hwan;Kim, Chi-Tae
    • Proceedings of the KSR Conference
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    • 2005.11a
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    • pp.119-124
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    • 2005
  • Decision of operation performance mode to minimize the energy consumption of urban rail vehicle. This paper analyses how much acceleration and deceleration of urban rail vehicle should be applied andhow to choose an operation mode to minimize energy consumption when train runs between station within the fixed operation time. The decided operation pattern satisfying the minimum energy consumption becomes a target trajectory and a basis for the controller design criteria. To make this goal it grasps the characteristics of urban rail vehicle, realize operation energy model of urban rail vehicle and verify the accuracy of embodied model the Matlab simulation with the same operation result of real route. It searches for operation pattern to minimize operation energy by changing the acceleration and deceleration on the imaginative route and proposes operation pattern minimizing energy consumption by applying real operation data between Dolgogee-Sukgye section of Seoul Metropolitan Subway Line 6.

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Prolonging Network Lifetime by Optimizing Actuators Deployment with Probabilistic Mutation Multi-layer Particle Swarm Optimization

  • Han, Yamin;Byun, Heejung;Zhang, Liangliang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.15 no.8
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    • pp.2959-2973
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    • 2021
  • In wireless sensor and actuator networks (WSANs), the network lifetime is an important criterion to measure the performance of the WSAN system. Generally, the network lifetime is mainly affected by the energy of sensors. However, the energy of sensors is limited, and the batteries of sensors cannot be replaced and charged. So, it is crucial to make energy consumption efficient. WSAN introduces multiple actuators that can be regarded as multiple collectors to gather data from their respective surrounding sensors. But how to deploy actuators to reduce the energy consumption of sensors and increase the manageability of the network is an important challenge. This research optimizes actuators deployment by a proposed probabilistic mutation multi-layer particle swarm optimization algorithm to maximize the coverage of actuators to sensors and reduce the energy consumption of sensors. Simulation results show that this method is effective for improving the coverage rate and reducing the energy consumption.

Performance Evaluation of Electrochromic Window System by Different Orientations and Locations in Korea (Electrochromic 창호 적용시 지역별 건물 냉난방 에너지 소비량 절감성능)

  • Shin, Jae-Yoon;Chae, Young Tae
    • Journal of the Korean Solar Energy Society
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    • v.38 no.5
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    • pp.75-84
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    • 2018
  • The most crucial point of reducing building energy is application of high performance envelope. The amount of heat exchange through window is highest in comparison of other envelopes so that heat exchange through window influence directly with building energy consumption. The window energy performance can be define with thermal, leakage and optical performance. In previous study we can confirmed that not only thermal performance but also optical performance are considered, 11% to 15% of building energy consumption can be reduced. Smart window system has potential of energy saving so that many industry field use smart window system including architectural area and these aspect causes smart window market continuous growth year by year. In this study, building energy consumption has been analyzed which consist of smart window that dynamically control optical states. The consideration of standard commercial building model for research, the reference medium size commercial building model of DOE (Department Of Energy, USA) has been used. The building energy simulation result of 4 axis in 8 regions in Korea shows 8% to 22% reduction of building energy consumption by application of smart window system.

Associated Factors on Energy Drink Consumption among Korean High School Students (고등학생의 고카페인 에너지 음료 섭취에 대한 관련 요인)

  • Ra, Jin Suk;Yun, Hee Kyung;Kim, Hye Sun;Ryu, Jeong Lim
    • Journal of the Korean Society of School Health
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    • v.30 no.1
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    • pp.48-58
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    • 2017
  • Purpose: The purpose of this study was to identify the factors associated with energy drink consumption in Korean high school students. Methods: This cross sectional study used the secondary data from the 2015 Adolescent Health Behavior Online Survey. A total of 33,744 high school students were included in the study. Energy drink consumption was measured by asking how often they consumed energy drink during the previous week. Associated factors were categorized into socio-demographic characteristics, psychological characteristics, and health related behavioral characteristics. Complex samples logistic regression was used to analyze the influence of associated factors on energy drink consumption. Results: For socio-demographic characteristics, adolescent boys were likely to consume more energy drink than adolescent girls (Adjusted Odds Ratio [AOR]: 1.351, 95% Confidence Interval [CI]: 1.209~1.510). For psychological characteristics, depressed adolescents were likely to consume more energy drink than their counterparts (AOR: 1.697, 95% CI: 1.537~1.874). For health related behavioral characteristics, cigarette smoking (AOR: 1.336, 95% CI: 1.168~1.528), alcohol drinking (AOR: 1.126, 95% CI: 1.012~1.254), soda drink consumption (AOR: 1.800, 95% CI: 1.565~2.071), sweet drink consumption (AOR: 1.715, 95% CI: 1.431~2.054), and insufficient sleep time a day (AOR: 1.307, 95% CI: 1.197~1.427) were associated with energy drink consumption. Conclusions: In conclusion, energy drink consumption in Korean high school students were associated with such factors as psychological factors (depression) and health related behavioral characteristics (smoking, alcohol, sleep, soda and sweet drink). Thus, intervention programs in schools and communities should focus on these psychological and health related behavioral characteristics.

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.